463 lines
35 KiB
BibTeX
463 lines
35 KiB
BibTeX
@misc{AppJetEtherpad2011,
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title = {Etherpad and {{EasySync Technical Manual}}},
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author = {AppJet},
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year = {2011},
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urldate = {2023-12-10},
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howpublished = {https://raw.githubusercontent.com/ether/etherpad-lite/master/doc/easysync/easysync-full-description.pdf},
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file = {/home/amaury/Zotero/storage/F5SV2JTZ/easysync-full-description.pdf}
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}
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@article{BayukDatacentric2009,
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title = {Data-Centric Security},
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author = {Bayuk, Jennifer},
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year = {2009},
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month = mar,
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journal = {Computer Fraud \& Security},
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volume = {2009},
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number = {3},
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pages = {7--11},
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issn = {1361-3723},
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doi = {10.1016/S1361-3723(09)70032-6},
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urldate = {2023-12-08},
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abstract = {The authoritative control objectives for access to data have always been something along the lines of: ``Confirm that user access rights to systems and data are in line with defined and documented business needs, and that job requirements are attached to user identities{\ldots}. Ensure that critical and confidential information is withheld from those who should not have access to it.''1},
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file = {/home/amaury/Zotero/storage/2YRZBICQ/Bayuk - 2009 - Data-centric security.pdf;/home/amaury/Zotero/storage/KC3F5F86/S1361372309700326.html}
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}
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@inproceedings{BurckhardtReplicated2014,
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title = {Replicated Data Types: Specification, Verification, Optimality},
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shorttitle = {Replicated Data Types},
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booktitle = {Proceedings of the 41st {{ACM SIGPLAN-SIGACT Symposium}} on {{Principles}} of {{Programming Languages}}},
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author = {Burckhardt, Sebastian and Gotsman, Alexey and Yang, Hongseok and Zawirski, Marek},
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year = {2014},
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month = jan,
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pages = {271--284},
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publisher = {{ACM}},
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address = {{San Diego California USA}},
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doi = {10.1145/2535838.2535848},
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urldate = {2023-11-17},
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abstract = {Geographically distributed systems often rely on replicated eventually consistent data stores to achieve availability and performance. To resolve conflicting updates at different replicas, researchers and practitioners have proposed specialized consistency protocols, called replicated data types, that implement objects such as registers, counters, sets or lists. Reasoning about replicated data types has however not been on par with comparable work on abstract data types and concurrent data types, lacking specifications, correctness proofs, and optimality results.},
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isbn = {978-1-4503-2544-8},
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langid = {english},
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file = {/home/amaury/Zotero/storage/KQNF7XLE/Burckhardt et al. - 2014 - Replicated data types specification, verification.pdf}
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}
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@inproceedings{DeCandiaDynamo2007,
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author = {Giuseppe DeCandia and
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Deniz Hastorun and
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Madan Jampani and
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Gunavardhan Kakulapati and
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Avinash Lakshman and
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Alex Pilchin and
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Swaminathan Sivasubramanian and
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Peter Vosshall and
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Werner Vogels},
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editor = {Thomas C. Bressoud and
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M. Frans Kaashoek},
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title = {Dynamo: amazon's highly available key-value store},
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booktitle = {Proceedings of the 21st {ACM} Symposium on Operating Systems Principles
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({SOSP})},
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pages = {205--220},
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publisher = {{ACM}},
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year = {2007},
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url = {https://doi.org/10.1145/1294261.1294281},
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doi = {10.1145/1294261.1294281},
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timestamp = {Wed, 14 Nov 2018 10:55:11 +0100},
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biburl = {https://dblp.org/rec/conf/sosp/DeCandiaHJKLPSVV07.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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@inproceedings{GoyalAttributebased2006,
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title = {Attribute-Based Encryption for Fine-Grained Access Control of Encrypted Data},
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booktitle = {Proceedings of the 13th {{ACM}} Conference on {{Computer}} and Communications Security},
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author = {Goyal, Vipul and Pandey, Omkant and Sahai, Amit and Waters, Brent},
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year = {2006},
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month = oct,
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pages = {89--98},
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publisher = {{ACM}},
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doi = {10.1145/1180405.1180418},
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urldate = {2023-12-08},
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abstract = {As more sensitive data is shared and stored by third-party sites on the Internet, there will be a need to encrypt data stored at these sites. One drawback of encrypting data, is that it can be selectively shared only at a coarse-grained level (i.e., giving another party your private key). We develop a new cryptosystem for fine-grained sharing of encrypted data that we call Key-Policy Attribute-Based Encryption (KP-ABE). In our cryptosystem, ciphertexts are labeled with sets of attributes and private keys are associated with access structures that control which ciphertexts a user is able to decrypt. We demonstrate the applicability of our construction to sharing of audit-log information and broadcast encryption. Our construction supports delegation of private keys which subsumes Hierarchical Identity-Based Encryption (HIBE).},
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isbn = {978-1-59593-518-2},
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langid = {english},
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file = {/home/amaury/Zotero/storage/Z9NEMU4F/Goyal et al. - 2006 - Attribute-based encryption for fine-grained access.pdf}
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}
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@inproceedings{HuttoSlow1990,
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title = {Slow Memory: Weakening Consistency to Enhance Concurrency in Distributed Shared Memories},
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shorttitle = {Slow Memory},
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booktitle = {Proceedings.,10th {{International Conference}} on {{Distributed Computing Systems}}},
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author = {Hutto, P. W. and Ahamad, M.},
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year = {1990},
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month = jan,
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pages = {302--309},
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publisher = {{IEEE Computer Society}},
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doi = {10.1109/ICDCS.1990.89297},
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urldate = {2023-06-06},
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abstract = {The use of weakly consistent memories in distributed shared memory systems to combat unacceptable network delay and to allow such systems to scale is proposed. Proposed memory correctness conditions are surveyed, and how they are related by a weakness hierarchy is demonstrated. Multiversion and messaging interpretations of memory are introduced as means of systematically exploring the space of possible memories. Slow memory is presented as a memory that allows the effects of writes to propagate slowly through the system, eliminating the need for costly consistency maintenance protocols that limit concurrency. Slow memory processes a valuable locality property and supports a reduction from traditional atomic memory. Thus slow memory is as expressive as atomic memory. This expressiveness is demonstrated by two exclusion algorithms and a solution to M.J. Fischer and A. Michael's (1982) dictionary problem on slow memory.},
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langid = {english},
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file = {/home/amaury/Téléchargements/Hutto et Ahamad - 1990 - Slow memory weakening consistency to enhance conc.pdf}
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}
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@article{KleppmannConflictFree2017,
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title = {A {{Conflict-Free Replicated JSON Datatype}}},
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author = {Kleppmann, Martin and Beresford, Alastair R.},
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year = {2017},
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month = oct,
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journal = {IEEE Transactions on Parallel and Distributed Systems},
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volume = {28},
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number = {10},
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eprint = {1608.03960},
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primaryclass = {cs},
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pages = {2733--2746},
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issn = {1045-9219},
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doi = {10.1109/TPDS.2017.2697382},
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urldate = {2023-12-10},
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abstract = {Many applications model their data in a general-purpose storage format such as JSON. This data structure is modified by the application as a result of user input. Such modifications are well understood if performed sequentially on a single copy of the data, but if the data is replicated and modified concurrently on multiple devices, it is unclear what the semantics should be. In this paper we present an algorithm and formal semantics for a JSON data structure that automatically resolves concurrent modifications such that no updates are lost, and such that all replicas converge towards the same state (a conflict-free replicated datatype or CRDT). It supports arbitrarily nested list and map types, which can be modified by insertion, deletion and assignment. The algorithm performs all merging client-side and does not depend on ordering guarantees from the network, making it suitable for deployment on mobile devices with poor network connectivity, in peer-to-peer networks, and in messaging systems with end-to-end encryption.},
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archiveprefix = {arxiv},
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langid = {english},
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keywords = {Computer Science - Databases,{Computer Science - Distributed, Parallel, and Cluster Computing}},
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file = {/home/amaury/Zotero/storage/BQVG57MU/Kleppmann et Beresford - 2017 - A Conflict-Free Replicated JSON Datatype.pdf}
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}
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@phdthesis{KumarFaultTolerant2019,
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title = {Fault-{{Tolerant Distributed Services}} in {{Message-Passing Systems}}},
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author = {Kumar, Saptaparni},
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year = {2019},
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school = {Texas A\&M University},
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file = {/home/amaury/Zotero/storage/Q9XK77W9/Kumar - 2019 - Fault-Tolerant Distributed Services in Message-Pas.pdf;/home/amaury/Zotero/storage/7JB26RAJ/1.html}
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}
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@article{LamportHow1979,
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title = {How to {{Make}} a {{Multiprocessor Computer That Correctly Executes Multiprocess Programs}}},
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author = {{Lamport}},
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year = {1979},
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month = sep,
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journal = {IEEE Transactions on Computers},
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volume = {C-28},
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number = {9},
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pages = {690--691},
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issn = {1557-9956},
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doi = {10.1109/TC.1979.1675439},
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abstract = {Many large sequential computers execute operations in a different order than is specified by the program. A correct execution is achieved if the results produced are the same as would be produced by executing the program steps in order. For a multiprocessor computer, such a correct execution by each processor does not guarantee the correct execution of the entire program. Additional conditions are given which do guarantee that a computer correctly executes multiprocess programs.},
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keywords = {Computer design,concurrent computing,hardware correctness,multiprocessing,parallel processing},
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file = {/home/amaury/Zotero/storage/GY8CWGUV/Lamport - 1979 - How to Make a Multiprocessor Computer That Correct.pdf;/home/amaury/Zotero/storage/IVGSSPNE/1675439.html}
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}
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@article{LamportInterprocess1986,
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title = {On Interprocess Communication},
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author = {Lamport, Leslie},
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year = {1986},
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month = jun,
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journal = {Distributed Computing},
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volume = {1},
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number = {2},
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pages = {86--101},
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issn = {1432-0452},
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doi = {10.1007/BF01786228},
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urldate = {2023-06-08},
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abstract = {Interprocess communication is studied without assuming any lower-level communication primitives. Three classes of communication registers are considered, and several constructions are given for implementing one class of register with a weaker class. The formalism developed in Part I is used in proving the correctness of these constructions.},
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langid = {english},
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keywords = {Communication Network,Computer Hardware,Computer System,Operating System,System Organization},
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file = {/home/amaury/Zotero/storage/XV7AEARN/Lamport - 1986 - On interprocess communication.pdf}
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}
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@TechReport{LiptonPRAM1988,
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author = {Lipton, Richard J. and Sandberg, Jonathan S.},
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title = {{{PRAM}}: {{A Scalable Shared Memory}}},
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institution = {Princeton University, Department of Computer Science},
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year = 1988,
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key = {TR-180-88 }}
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@article{MisraAxioms1986,
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title = {Axioms for Memory Access in Asynchronous Hardware Systems},
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author = {Misra, J.},
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year = {1986},
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month = jan,
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journal = {ACM Transactions on Programming Languages and Systems},
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volume = {8},
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number = {1},
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pages = {142--153},
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issn = {0164-0925, 1558-4593},
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doi = {10.1145/5001.5007},
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urldate = {2023-06-08},
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abstract = {The problem of concurrent accesses to registers by asynchronous components is considered. A set of axioms about the values in a register during concurrent accesses is proposed. It is shown that if these axioms are met by a register, then concurrent accesses to it may be viewed as nonconcurrent, thus making it possible to analyze asynchronous algorithms without elaborate timing analysis of operations. These axioms are shown, in a certain sense, to be the weakest. Motivation for this work came from analyzing low-level hardware components in a VLSI chip which concurrently accesses a flip-flop.},
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langid = {english},
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file = {/home/amaury/Zotero/storage/KZP2774N/Misra - 1986 - Axioms for memory access in asynchronous hardware .pdf}
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}
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@inproceedings{MisraByzantine2021,
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author = {Anshuman Misra and
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Ajay D. Kshemkalyani},
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title = {Byzantine Fault-Tolerant Causal Ordering},
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booktitle = {24th International Conference on Distributed Computing and Networking,
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({ICDCN})},
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pages = {100--109},
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publisher = {{ACM}},
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year = {2023},
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url = {https://doi.org/10.1145/3571306.3571395},
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doi = {10.1145/3571306.3571395},
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timestamp = {Sun, 15 Jan 2023 18:32:09 +0100},
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biburl = {https://dblp.org/rec/conf/icdcn/MisraK23.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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@article{MosbergerMemory1993,
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title = {Memory Consistency Models},
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author = {Mosberger, David},
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year = {1993},
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month = jan,
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journal = {ACM SIGOPS Operating Systems Review},
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volume = {27},
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number = {1},
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pages = {18--26},
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issn = {0163-5980},
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doi = {10.1145/160551.160553},
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urldate = {2023-06-06},
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abstract = {This paper discusses memory consistency models and their influence on software in the context of parallel machines. In the first part we review previous work on memory consistency models. The second part discusses the issues that arise due to weakening memory consistency. We are especially interested in the influence that weakened consistency models have on language, compiler, and runtime system design. We conclude that tighter interaction between those parts and the memory system might improve performance considerably.},
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langid = {english},
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file = {/home/amaury/Zotero/storage/VF2ZNK6A/Mosberger - 1993 - Memory consistency models.pdf}
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}
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@book{MPBook,
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title = {{Concurrence et coh{\'e}rence dans les syst{\`e}mes r{\'e}partis}},
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author = {Perrin, Matthieu},
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year = {2017},
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month = sep,
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publisher = {{ISTE Group}},
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abstract = {La soci{\'e}t{\'e} moderne est de plus en plus domin{\'e}e par la soci{\'e}t{\'e} virtuelle, le nombre d'internautes dans le monde ayant d{\'e}pass{\'e} les trois milliards en 2015. A la diff{\'e}rence de leurs homologues s{\'e}quentiels, les syst{\`e}mes r{\'e}partis sont beaucoup plus difficiles {\`a} concevoir, et sont donc sujets {\`a} de nombreux probl{\`e}mes.La coh{\'e}rence s{\'e}quentielle fournit la m{\^e}me vue globale {\`a} tous les utilisateurs, mais le confort d\&\#39;utilisation qu\&\#39;elle apporte est trop co{\^u}teux, voire impossible, {\`a} mettre en oeuvre {\`a} grande {\'e}chelle.~Concurrence et coh{\'e}rence dans les syst{\`e}mes r{\'e}partis~examine les meilleures fa{\c c}ons de sp{\'e}cifier les objets que l'on peut tout de m{\^e}me impl{\'e}menter dans ces syst{\`e}mes.Cet ouvrage explore la zone grise des syst{\`e}mes r{\'e}partis et dresse une carte des crit{\`e}res de coh{\'e}rence faible, identifiant plusieurs familles et d{\'e}montrant comment elles peuvent s'int{\'e}grer dans un langage de programmation.},
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googlebooks = {6DRlDwAAQBAJ},
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isbn = {978-1-78405-295-9},
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langid = {french},
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file = {/home/amaury/Téléchargements/Perrin - 2017 - Concurrence et cohérence dans les systèmes réparti.pdf}
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}
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@incollection{MullerDistributed2009,
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title = {Distributed {{Attribute-Based Encryption}}},
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booktitle = {Information {{Security}} and {{Cryptology}} {\textendash} {{ICISC}} 2008},
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author = {M{\"u}ller, Sascha and Katzenbeisser, Stefan and Eckert, Claudia},
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editor = {Lee, Pil Joong and Cheon, Jung Hee},
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year = {2009},
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volume = {5461},
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pages = {20--36},
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publisher = {{Springer Berlin Heidelberg}},
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address = {{Berlin, Heidelberg}},
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doi = {10.1007/978-3-642-00730-9_2},
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urldate = {2023-12-08},
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abstract = {Ciphertext-Policy Attribute-Based Encryption (CP-ABE) allows to encrypt data under an access policy, specified as a logical combination of attributes. Such ciphertexts can be decrypted by anyone with a set of attributes that fits the policy. In this paper, we introduce the concept of Distributed Attribute-Based Encryption (DABE), where an arbitrary number of parties can be present to maintain attributes and their corresponding secret keys. This is in stark contrast to the classic CP-ABE schemes, where all secret keys are distributed by one central trusted party. We provide the first construction of a DABE scheme; the construction is very efficient, as it requires only a constant number of pairing operations during encryption and decryption.},
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isbn = {978-3-642-00729-3 978-3-642-00730-9},
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langid = {english},
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file = {/home/amaury/Zotero/storage/CWKWPE9S/Müller et al. - 2009 - Distributed Attribute-Based Encryption.pdf}
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}
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@inproceedings{NicolaescuRealTime2016,
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title = {Near {{Real-Time Peer-to-Peer Shared Editing}} on {{Extensible Data Types}}},
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booktitle = {Proceedings of the 19th {{International Conference}} on {{Supporting Group Work}}},
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author = {Nicolaescu, Petru and Jahns, Kevin and Derntl, Michael and Klamma, Ralf},
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year = {2016},
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month = nov,
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pages = {39--49},
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publisher = {{ACM}},
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doi = {10.1145/2957276.2957310},
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urldate = {2023-12-01},
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isbn = {978-1-4503-4276-6},
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langid = {english},
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file = {/home/amaury/Zotero/storage/SV3MSLKD/Nicolaescu et al. - 2016 - Near Real-Time Peer-to-Peer Shared Editing on Exte.pdf}
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}
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@book{Raynal18,
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title = {Fault-{{Tolerant Message-Passing Distributed Systems}}: {{An Algorithmic Approach}}},
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shorttitle = {Fault-{{Tolerant Message-Passing Distributed Systems}}},
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author = {Raynal, Michel},
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year = {2018},
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month = sep,
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publisher = {{Springer}},
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abstract = {This book presents the most important fault-tolerant distributed programming abstractions and their associated distributed algorithms, in particular in terms of reliable communication and agreement, which lie at the heart of nearly all distributed applications. These programming abstractions, distributed objects or services, allow software designers and programmers to cope with asynchrony and the most important types of failures such as process crashes, message losses, and malicious behaviors of computing entities, widely known under the term "Byzantine fault-tolerance". The author introduces these notions in an incremental manner, starting from a clear specification, followed by algorithms which are first described intuitively and then proved correct. The book also presents impossibility results in classic distributed computing models, along with strategies, mainly failure detectors and randomization, that allow us to enrich these models. In this sense, the book constitutes an introduction to the science of distributed computing, with applications in all domains of distributed systems, such as cloud computing and blockchains. Each chapter comes with exercises and bibliographic notes to help the reader approach, understand, and master the fascinating field of fault-tolerant distributed computing.},
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googlebooks = {J6BtDwAAQBAJ},
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isbn = {978-3-319-94141-7},
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langid = {english},
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keywords = {Computers / Computer Science,Computers / Information Technology,Computers / Networking / General,Technology \& Engineering / Telecommunications}
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}
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@incollection{RaynalCausal1995,
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title = {From Causal Consistency to Sequential Consistency in Shared Memory Systems},
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booktitle = {Foundations of {{Software Technology}} and {{Theoretical Computer Science}}},
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author = {Raynal, Michel and Schiper, Andr{\'e}},
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editor = {Goos, Gerhard and Hartmanis, Juris and Leeuwen, Jan and Thiagarajan, P. S.},
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year = {1995},
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volume = {1026},
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pages = {180--194},
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publisher = {{Springer Berlin Heidelberg}},
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address = {{Berlin, Heidelberg}},
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doi = {10.1007/3-540-60692-0_48},
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urldate = {2023-06-06},
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isbn = {978-3-540-60692-5 978-3-540-49263-4},
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langid = {english},
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file = {/home/amaury/Zotero/storage/B8UNWUSA/Raynal et Schiper - 1995 - From causal consistency to sequential consistency .pdf}
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}
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@techreport{RoseZero2020,
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title = {Zero {{Trust Architecture}}},
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author = {Rose, Scott and Borchert, Oliver and Mitchell, Stu and Connelly, Sean},
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year = {2020},
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month = aug,
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institution = {{National Institute of Standards and Technology}},
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doi = {10.6028/NIST.SP.800-207},
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urldate = {2023-12-08},
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abstract = {Zero trust (ZT) is the term for an evolving set of cybersecurity paradigms that move defenses from static, network-based perimeters to focus on users, assets, and resources. A zero trust architecture (ZTA) uses zero trust principles to plan industrial and enterprise infrastructure and workflows. Zero trust assumes there is no implicit trust granted to assets or user accounts based solely on their physical or network location (i.e., local area networks versus the internet) or based on asset ownership (enterprise or personally owned). Authentication and authorization (both subject and device) are discrete functions performed before a session to an enterprise resource is established. Zero trust is a response to enterprise network trends that include remote users, bring your own device (BYOD), and cloud-based assets that are not located within an enterpriseowned network boundary. Zero trust focuses on protecting resources (assets, services, workflows, network accounts, etc.), not network segments, as the network location is no longer seen as the prime component to the security posture of the resource. This document contains an abstract definition of zero trust architecture (ZTA) and gives general deployment models and use cases where zero trust could improve an enterprise's overall information technology security posture.},
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langid = {english},
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file = {/home/amaury/Zotero/storage/6PRUAJZ3/Rose et al. - 2020 - Zero Trust Architecture.pdf}
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}
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@article{SaitoOptimistic2005,
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title = {Optimistic {{Replication}}},
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author = {Saito, Yasushi and Shapiro, Marc},
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year = {2005},
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journal = {ACM Computing Surveys},
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volume = {37},
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|
number = {1},
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|
pages = {42},
|
|
doi = {10.1145/1057977.1057980},
|
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urldate = {2023-06-09},
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|
abstract = {Data replication is a key technology in distributed systems that enables higher availability and performance. This article surveys optimistic replication algorithms. They allow replica contents to diverge in the short term to support concurrent work practices and tolerate failures in low-quality communication links. The importance of such techniques is increasing as collaboration through wide-area and mobile networks becomes popular.Optimistic replication deploys algorithms not seen in traditional ``pessimistic'' systems. Instead of synchronous replica coordination, an optimistic algorithm propagates changes in the background, discovers conflicts after they happen, and reaches agreement on the final contents incrementally.We explore the solution space for optimistic replication algorithms. This article identifies key challenges facing optimistic replication systems---ordering operations, detecting and resolving conflicts, propagating changes efficiently, and bounding replica divergence---and provides a comprehensive survey of techniques developed for addressing these challenges.},
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langid = {english},
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file = {/home/amaury/Zotero/storage/4WJX5IAN/Saito et Shapiro - 2005 - Optimistic Replication.pdf}
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}
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@inproceedings{ShakaramiRefresh2019,
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title = {Refresh {{Instead}} of {{Revoke Enhances Safety}} and {{Availability}}: {{A Formal Analysis}}},
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shorttitle = {Refresh {{Instead}} of {{Revoke Enhances Safety}} and {{Availability}}},
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|
booktitle = {33th {{IFIP Annual Conference}} on {{Data}} and {{Applications Security}} and {{Privacy}} ({{DBSec}})},
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author = {Shakarami, Mehrnoosh and Sandhu, Ravi},
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year = {2019},
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|
month = jul,
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|
volume = {LNCS-11559},
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|
pages = {301},
|
|
publisher = {{Springer International Publishing}},
|
|
doi = {10.1007/978-3-030-22479-0_16},
|
|
urldate = {2023-06-09},
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|
abstract = {Due to inherent delays and performance costs, the decision point in a distributed multi-authority Attribute-Based Access Control (ABAC) system is exposed to the risk of relying on outdated attribute values and policy; which is the safety and consistency problem. This paper formally characterizes three increasingly strong levels of consistency to restrict this exposure. Notably, we recognize the concept of refreshing attribute values rather than simply checking the revocation status, as in traditional approaches. Refresh replaces an older value with a newer one, while revoke simply invalidates the old value. Our lowest consistency level starts from the highest level in prior revocation-based work by Lee and Winslett (LW). Our two higher levels utilize the concept of request time which is absent in LW. For each of our levels we formally show that using refresh instead of revocation provides added safety and availability.},
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|
langid = {english},
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|
file = {/home/amaury/Zotero/storage/XQNWKF7H/Shakarami et Sandhu - 2019 - Refresh Instead of Revoke Enhances Safety and Avai.pdf}
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|
}
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@incollection{ShapiroConflictFree2011,
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|
title = {Conflict-{{Free Replicated Data Types}}},
|
|
booktitle = {Stabilization, {{Safety}}, and {{Security}} of {{Distributed Systems}}},
|
|
author = {Shapiro, Marc and Pregui{\c c}a, Nuno and Baquero, Carlos and Zawirski, Marek},
|
|
year = {2011},
|
|
volume = {6976},
|
|
pages = {386--400},
|
|
publisher = {{Springer Berlin Heidelberg}},
|
|
address = {{Berlin, Heidelberg}},
|
|
doi = {10.1007/978-3-642-24550-3_29},
|
|
urldate = {2023-12-08},
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|
abstract = {Replicating data under Eventual Consistency (EC) allows any replica to accept updates without remote synchronisation. This ensures performance and scalability in large-scale distributed systems (e.g., clouds). However, published EC approaches are ad-hoc and error-prone. Under a formal Strong Eventual Consistency (SEC) model, we study sufficient conditions for convergence. A data type that satisfies these conditions is called a Conflict-free Replicated Data Type (CRDT). Replicas of any CRDT are guaranteed to converge in a self-stabilising manner, despite any number of failures. This paper formalises two popular approaches (state- and operation-based) and their relevant sufficient conditions. We study a number of useful CRDTs, such as sets with clean semantics, supporting both add and remove operations, and consider in depth the more complex Graph data type. CRDT types can be composed to develop large-scale distributed applications, and have interesting theoretical properties.},
|
|
isbn = {978-3-642-24549-7 978-3-642-24550-3},
|
|
langid = {english},
|
|
file = {/home/amaury/Zotero/storage/QK99TF5K/Shapiro et al. - 2011 - Conflict-Free Replicated Data Types.pdf}
|
|
}
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@inproceedings{SinghZeno2009,
|
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author = {Atul Singh and
|
|
Pedro Fonseca and
|
|
Petr Kuznetsov and
|
|
Rodrigo Rodrigues and
|
|
Petros Maniatis},
|
|
editor = {Jennifer Rexford and
|
|
Emin G{\"{u}}n Sirer},
|
|
title = {Zeno: Eventually Consistent Byzantine-Fault Tolerance},
|
|
booktitle = {Proceedings of the 6th {USENIX} Symposium on Networked Systems Design
|
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and Implementation ({NSDI})},
|
|
pages = {169--184},
|
|
publisher = {{USENIX} Association},
|
|
year = {2009},
|
|
url = {http://www.usenix.org/events/nsdi09/tech/full\_papers/singh/singh.pdf},
|
|
timestamp = {Thu, 12 Nov 2020 16:34:18 +0100},
|
|
biburl = {https://dblp.org/rec/conf/nsdi/SinghFKRM09.bib},
|
|
bibsource = {dblp computer science bibliography, https://dblp.org}
|
|
}
|
|
|
|
@article{SomasekaramHighAvailability2022,
|
|
title = {High-{{Availability Clusters}}: {{A Taxonomy}}, {{Survey}}, and {{Future Directions}}},
|
|
shorttitle = {High-{{Availability Clusters}}},
|
|
author = {Somasekaram, Premathas and Calinescu, Radu and Buyya, Rajkumar},
|
|
year = {2022},
|
|
month = may,
|
|
journal = {Journal of Systems and Software},
|
|
volume = {187},
|
|
eprint = {2109.15139},
|
|
primaryclass = {cs, eess},
|
|
pages = {111208},
|
|
issn = {01641212},
|
|
doi = {10.1016/j.jss.2021.111208},
|
|
urldate = {2023-06-06},
|
|
abstract = {The delivery of key services in domains ranging from finance and manufacturing to healthcare and transportation is underpinned by a rapidly growing number of mission-critical enterprise applications. Ensuring the continuity of these complex applications requires the use of software-managed infrastructures called high-availability clusters (HACs). HACs employ sophisticated techniques to monitor the health of key enterprise application layers and of the resources they use, and to seamlessly restart or relocate application components after failures. In this paper, we first describe the manifold uses of HACs to protect essential layers of a critical application and present the architecture of high availability clusters. We then propose a taxonomy that covers all key aspects of HACs -- deployment patterns, application areas, types of cluster, topology, cluster management, failure detection and recovery, consistency and integrity, and data synchronisation; and we use this taxonomy to provide a comprehensive survey of the end-to-end software solutions available for the HAC deployment of enterprise applications. Finally, we discuss the limitations and challenges of existing HAC solutions, and we identify opportunities for future research in the area.},
|
|
archiveprefix = {arxiv},
|
|
keywords = {{Computer Science - Distributed, Parallel, and Cluster Computing},Computer Science - Networking and Internet Architecture,Electrical Engineering and Systems Science - Systems and Control},
|
|
file = {/home/amaury/Zotero/storage/K3LQZLC8/Somasekaram et al. - 2022 - High-Availability Clusters A Taxonomy, Survey, an.pdf;/home/amaury/Zotero/storage/B4KCP9BG/2109.html}
|
|
}
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|
|
|
@inproceedings{TsengDistributed2019,
|
|
title = {Distributed {{Causal Memory}} in the {{Presence}} of {{Byzantine Servers}}},
|
|
booktitle = {{{IEEE}} 18th {{International Symposium}} on {{Network Computing}} and {{Applications}} ({{NCA}})},
|
|
author = {Tseng, Lewis and Wang, Zezhi and Zhao, Yajie and Pan, Haochen},
|
|
year = {2019},
|
|
month = sep,
|
|
pages = {1--8},
|
|
issn = {2643-7929},
|
|
doi = {10.1109/NCA.2019.8935059},
|
|
abstract = {We study distributed causal shared memory (or distributed read/write objects) in the client-server model over asynchronous message-passing networks in which some servers may suffer Byzantine failures. Since Ahamad et al. proposed causal memory in 1994, there have been abundant research on causal storage. Lately, there is a renewed interest in enforcing causal consistency in large-scale distributed storage systems (e.g., COPS, Eiger, Bolt-on). However, to the best of our knowledge, the fault-tolerance aspect of causal memory is not well studied, especially on the tight resilience bound. In our prior work, we showed that 2 f+1 servers is the tight bound to emulate crash-tolerant causal shared memory when up to f servers may crash. In this paper, we adopt a typical model considered in many prior works on Byzantine-tolerant storage algorithms and quorum systems. In the system, up to f servers may suffer Byzantine failures and any number of clients may crash. We constructively present an emulation algorithm for Byzantine causal memory using 3 f+1 servers. We also prove that 3 f+1 is necessary for tolerating up to f Byzantine servers. In other words, we show that 3 f+1 is a tight bound. For evaluation, we implement our algorithm in Golang and compare their performance with two state-of-the-art fault-tolerant algorithms that ensure atomicity in the Google Cloud Platform.},
|
|
keywords = {asynchrony,Byzantine faults,causal memory,Computer crashes,Consensus protocol,distributed storage system,Emulation,evaluation,Fault tolerance,Fault tolerant systems,History,Servers,tight condition},
|
|
file = {/home/amaury/Zotero/storage/DDV34ULW/8935059.html}
|
|
}
|
|
|
|
@article{VanDerLindePractical2020,
|
|
title = {Practical Client-Side Replication: Weak Consistency Semantics for Insecure Settings},
|
|
shorttitle = {Practical Client-Side Replication},
|
|
author = {Van Der Linde, Albert and Leit{\~a}o, Jo{\~a}o and Pregui{\c c}a, Nuno},
|
|
year = {2020},
|
|
month = aug,
|
|
journal = {Proceedings of the VLDB Endowment},
|
|
volume = {13},
|
|
number = {12},
|
|
pages = {2590--2605},
|
|
issn = {2150-8097},
|
|
doi = {10.14778/3407790.3407847},
|
|
urldate = {2023-06-06},
|
|
abstract = {Client-side replication and direct client-to-client synchronization can be used to create highly available, low-latency interactive applications. Causal consistency, the strongest available consistency model under network partitions, is an attractive consistency model for these applications.},
|
|
langid = {english},
|
|
file = {/home/amaury/Zotero/storage/5TJ3SA56/Van Der Linde et al. - 2020 - Practical client-side replication weak consistenc.pdf}
|
|
}
|
|
|
|
@article{YanFlexible2017,
|
|
title = {Flexible {{Data Access Control Based}} on {{Trust}} and {{Reputation}} in {{Cloud Computing}}},
|
|
author = {Yan, Zheng and Li, Xueyun and Wang, Mingjun and Vasilakos, Athanasios V.},
|
|
year = {2017},
|
|
month = jul,
|
|
journal = {IEEE Transactions on Cloud Computing},
|
|
volume = {5},
|
|
number = {3},
|
|
pages = {485--498},
|
|
issn = {2168-7161},
|
|
doi = {10.1109/TCC.2015.2469662},
|
|
urldate = {2023-12-08},
|
|
abstract = {Cloud computing offers a new way of services and has become a popular service platform. Storing user data at a cloud data center greatly releases storage burden of user devices and brings access convenience. Due to distrust in cloud service providers, users generally store their crucial data in an encrypted form. But in many cases, the data need to be accessed by other entities for fulfilling an expected service, e.g., an eHealth service. How to control personal data access at cloud is a critical issue. Various application scenarios request flexible control on cloud data access based on data owner policies and application demands. Either data owners or some trusted third parties or both should flexibly participate in this control. However, existing work hasn't yet investigated an effective and flexible solution to satisfy this demand. On the other hand, trust plays an important role in data sharing. It helps overcoming uncertainty and avoiding potential risks. But literature still lacks a practical solution to control cloud data access based on trust and reputation. In this paper, we propose a scheme to control data access in cloud computing based on trust evaluated by the data owner and/or reputations generated by a number of reputation centers in a flexible manner by applying Attribue-Based Encryption and Proxy Re-Encryption. We integrate the concept of context-aware trust and reputation evaluation into a cryptographic system in order to support various control scenarios and strategies. The security and performance of our scheme are evaluated and justified through extensive analysis, security proof, comparison and implementation. The results show the efficiency, flexibility and effectiveness of our scheme for data access control in cloud computing.},
|
|
langid = {english},
|
|
file = {/home/amaury/Zotero/storage/EGDZNP8U/Yan et al. - 2017 - Flexible Data Access Control Based on Trust and Re.pdf}
|
|
}
|
|
|
|
|
|
@misc{Yjs2023,
|
|
title = {Yjs/yjs: Shared data types for building collaborative software},
|
|
year = {2023},
|
|
month = dec,
|
|
urldate = {2023-12-10},
|
|
abstract = {Shared data types for building collaborative software},
|
|
howpublished= {https://github.com/yjs/yjs},
|
|
keywords = {collaboration,collaborative-editing,crdt,decentralized,offline-first,p2p,peer-to-peer,realtime,shared-editing,yjs}
|
|
}
|