Benchmarking eventually consistent distributed storage systems

Benchmarking Eventually Consistent Distributed Storage Systems

Volumn , Issue , 2014, Pages 1-183

  Bermbach, David ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; MULTIPROCESSING SYSTEMS;

CLOUD STORAGE SERVICES; DATA CONSISTENCY; DISTRIBUTED STORAGE SYSTEM; EVENTUAL CONSISTENCY; NOVEL SOLUTIONS;

DIGITAL STORAGE;

EID: 84938540325     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.5445/KSP/1000039389     Document Type: Book

References (104)

1. D. Abadi. Problems with cap, and yahoo's little known nosql system. http://dbmsmusings.blogspot.de/2010/04/problems-with-cap-and-yahoos-little.html (accessed Jun 27,2013), 2010.
2. D. Abadi. Consistency tradeoffs in modern distributed database system design: Cap is only part of the story. IEEE Computer, 45(2):37-42, Feb. 2012.
3. L. Abraham, J. Allen, O. Barykin, V. Borkar, B. Chopra, C. Gerea, D. Merl, J. Metzler, D. Reiss, S. Subramanian, J. L. Wiener, and O. Zed. Scuba: Diving into data at facebook. Proceedings of the VLDB Endowment, 6(11):1057-1067, Aug. 2013.
4. A. Adya, W. J. Bolosky, M. Castro, G. Cermak, R. Chaiken, J. R. Douceur, J. Howell, J. R. Lorch, M. Theimer, and R. P. Wattenhofer. Farsite: Federated, available, and reliable storage for an incompletely trusted environment. In Proceedings of the 5th Symposium on Operating Systems Design and Implementation (OSDI), OSDI '02, pages 1-14, New York, NY, USA, 2002. ACM.
5. M. Ahmad, G. Neiger, P. Kohli, J. Burns, and P. Hutto. Causal memory: Definitions, implementation and programming. Technical report, Georgia Institute of Technology, Georgia, Atlanta, 1994.
6. E. Anderson, X. Li, M. A. Shah, J. Tucek, and J. J. Wylie. What consistency does your key-value store actually provide? In Proceedings of the 6th Workshop on Hot Topics in System Dependability (HOTDEP), HotDep'10, pages 1-16, Berkeley, CA, USA, 2010. USENIX Association.
7. M. Aslett. What we talk about when we talk about newsql. http:// blogs.the451group.com/information_management/2011/04/ 06/ what-we-talk-about-when-we-talk-about-newsql/ (accessed Jul 3,2013), 2011.
8. P. Bailis. When is "acid" acid? rarely. http://www.bailis.org/ blog/ when-is-acid-acid-rarely (accessed Jun 15,2013), 2013.
9. P. Bailis, A. Fekete, A. Ghodsi, J. M. Hellerstein, and I. Stoica. The potential dangers of causal consistency and an explicit solution. In Proceedings of the 3rd Symposium on Cloud Computing (SOCC), SOCC '12, pages 22:1-22:7, New York, NY, USA, 2012. ACM.
10. P. Bailis, A. Ghodsi, J. M. Hellerstein, and I. Stoica. Bolt-on causal consistency. In Proceedings of the 33rd International Conference on Management of Data (SIGMOD), SIGMOD '13, pages 761-772, New York, NY, USA, 2013. ACM.
11. P. Bailis, S. Venkataraman, M. J. Franklin, J. M. Hellerstein, and I. Stoica. Probabilistically bounded staleness for practical partial quorums. Proceedings of the VLDB Endowment, 5(8):776-787, Apr. 2012.
12. J. Baker, C. Bond, J. C. Corbett, J. Furman, A. Khorlin, J. Larson, J.-M. Leon, Y. Li, A. Lloyd, and V. Yushprakh. Megastore: Providing scalable, highly available storage for interactive services. In Proceedings of the 5th Conference on Innovative Data system Research (CIDR), pages 223-234, 2011.
13. S. Becker, H. Koziolek, and R. Reussner. The palladio component model for modeldriven performance prediction. Elsevier Journal of Systems and Software, 82(1):3-22, Jan. 2009.
14. H. Berenson, P. Bernstein, J. Gray, J. Melton, E. O'Neil, and P. O'Neil. A critique of ansi sql isolation levels. In Proceedings of the 15th International Conference on Management of Data (SIGMOD), SIGMOD '95, pages 1-10, New York, NY, USA, 1995. ACM.
15. D. Bermbach and J. Kuhlenkamp. Consistency in distributed storage systems: An overview of models, metrics and measurement approaches. In V. Gramoli and R. Guerraoui, editors, Networked Systems, volume 7853 of Lecture Notes in Computer Science, pages 175-189. Springer Berlin Heidelberg, 2013.
16. D. Bermbach, J. Kuhlenkamp, B. Derre, M. Klems, and S. Tai. A middleware guaranteeing client-centric consistency on top of eventually consistent datastores. In Proceedings of the 1st International Conference on Cloud Engineering (IC2E), IC2E '13, pages 114-123, Washington, DC, USA, 2013. IEEE Computer Society.
17. D. Bermbach and S. Tai. Eventual consistency: How soon is eventual? an evaluation of amazon s3's consistency behavior. In Proceedings of the 6th Workshop on Middleware for Service Oriented Computing (MW4SOC), MW4SOC '11, pages 1:1-1:6, New York, NY, USA, 2011. ACM.
18. D. Bermbach and S. Tai. Benchmarking eventual consistency: Lessons learned from long-term experimental studies. In Proceedings of the 2nd International Conference on Cloud Engineering (IC2E), to appear. IEEE, 2014.
19. D. Bermbach, L. Zhao, and S. Sakr. Towards comprehensive measurement of consistency guarantees for cloud-hosted data storage services. In R. Nambiar and M. Poess, editors, Performance Characterization and Benchmarking, volume 8391 of Lecture Notes in Computer Science, pages 32-47. Springer International Publishing, 2014.
20. C. Binnig, D. Kossmann, T. Kraska, and S. Loesing. How is the weather tomorrow?:Towards a benchmark for the cloud. In Proceedings of the 2nd InternationalWorkshop on Testing Database Systems (DBTEST), DBTest '09, pages 9:1-9:6, New York, NY, USA, 2009. ACM.
21. M. Brantner, D. Florescu, D. Graf, D. Kossmann, and T. Kraska. Building a database on s3. In Proceedings of the 28th International Conference on Management of Data (SIGMOD), SIGMOD '08, pages 251-264, New York, NY, USA, 2008. ACM.
22. E. Brewer. Podc keynote. http://www.cs.berkeley.edu/~brewer/cs262b-2004/ PODC-keynote.pdf (accessed Jun 27,2013), 2000.
23. J. Brzezinski, C. Sobaniec, and D. Wawrzyniak. From session causality to causal consistency. In Proceedings of the 12th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP), pages 152-158, Feb 2004.
24. J. Brzezinski, C. Sobaniec, and D. Wawrzyniak. Session guarantees to achieve pram consistency of replicated shared objects. In R.Wyrzykowski, J. Dongarra, M. Paprzycki, and J.Wasniewski, editors, Parallel Processing and Applied Mathematics, volume 3019 of Lecture Notes in Computer Science, pages 1-8. Springer Berlin Heidelberg, 2004.
25. F. Chang, J. Dean, S. Ghemawat, W. C. Hsieh, D. A. Wallach, M. Burrows, T. Chandra, A. Fikes, and R. E. Gruber. Bigtable: A distributed storage system for structured data. In Proceedings of the 7th Symposium on Operating Systems Design and Implementation (OSDI), OSDI '06, pages 205-218, Berkeley, CA, USA, 2006. USENIX Association.
26. Y. Chen and R. Sion. On securing untrusted clouds with cryptography. In Proceedings of the 9th Workshop on Privacy in the electronic society (WPES), pages 109-114. ACM, 2010.
27. H. Chihoub, S. Ibrahim, G. Antoniu, M. Pérez, et al. Consistency in the cloud: When money does matter! Technical report, INRIA, 2012.
28. H.-E. Chihoub, S. Ibrahim, G. Antoniu, and M. S. Perez. Harmony: Towards automated self-adaptive consistency in cloud storage. In Proceedings of the 13th International Conference on Cluster Computing (CLUSTER), CLUSTER '12, pages 293-301, Washington, DC, USA, 2012. IEEE Computer Society.
29. G. Chockler, R. Guerraoui, I. Keidar, and M. Vukolíc. Reliable distributed storage. IEEE Computer, 42(4):60-67, Apr. 2009.
30. A. Cockcroft and D. Sheahan. Benchmarking cassandra scalability on aws - over a million writes per second. http:// techblog.netflix.com/2011/11/ benchmarking-cassandra-scalability-on.html (accessed Dec 10,2013), 2011.
31. E. F. Codd. The relational model for database management: Version 2. Addison-Wesley, Reading, Mass., 1990.
32. B. F. Cooper, R. Ramakrishnan, U. Srivastava, A. Silberstein, P. Bohannon, H.-A. Jacobsen, N. Puz, D. Weaver, and R. Yerneni. Pnuts: Yahoo!'s hosted data serving platform. Proceedings of the VLDB Endowment, 1(2):1277-1288, Aug. 2008.
33. B. F. Cooper, A. Silberstein, E. Tam, R. Ramakrishnan, and R. Sears. Benchmarking cloud serving systems with ycsb. In Proceedings of the 1st Symposium on Cloud Computing (SOCC), SOCC '10, pages 143-154, New York, NY, USA, 2010. ACM.
34. J. C. Corbett, J. Dean, M. Epstein, A. Fikes, C. Frost, J. J. Furman, S. Ghemawat, A. Gubarev, C. Heiser, P. Hochschild, W. Hsieh, S. Kanthak, E. Kogan, H. Li, A. Lloyd, S. Melnik, D. Mwaura, D. Nagle, S. Quinlan, R. Rao, L. Rolig, Y. Saito, M. Szymaniak, C. Taylor, R. Wang, and D. Woodford. Spanner: Google's globallydistributed database. In Proceedings of the 10th Symposium on Operating Systems Design and Implementation (OSDI), OSDI'12, pages 251-264, Berkeley, CA, USA, 2012. USENIX Association.
35. G. Coulouris, J. Dollimore, and T. Kindberg. Distributed Systems: Concepts and Design. Addison-Wesley, 2nd edition, 1994.
36. J. Dean and S. Ghemawat. Mapreduce: Simplified data processing on large clusters. In Proceedings of the 6th Symposium on Operating Systems Design and Implementation (OSDI), OSDI'04, pages 10-10, Berkeley, CA, USA, 2004. USENIX Association.
37. G. DeCandia, D. Hastorun, M. Jampani, G. Kakulapati, A. Lakshman, A. Pilchin, S. Sivasubramanian, P. Vosshall, and W. Vogels. Dynamo: Amazon's highly available key-value store. In Proceedings of 21st Symposium on Operating Systems Principles (SOSP), SOSP '07, pages 205-220, New York, NY, USA, 2007. ACM.
38. P. J. Denning and J. P. Buzen. The operational analysis of queueing network models. ACM Computing Surveys, 10(3):225-261, Sept. 1978.
39. J. Elson and J. Howell. Handling flash crowds from your garage. In Proceedings of the USENIX Annual Technical Conference (ATC), ATC'08, pages 171-184, Berkeley, CA, USA, 2008. USENIX Association.
40. C. J. Fidge. Timestamps in message-passing systems that preserve the partial ordering. In Proceedings of the 11th Australian Computer Science Conference (ACSC), volume 10, pages 56-66, 1988.
41. A. Fikes. Storage architecture and challenges. https:// static.googleusercontent. com/external_content/ untrusted_dlcp/ research.google.com/en/ /university/ relations/ facultysummit2010/storage_architecture_and_challenges.pdf (accessed Jul 3,2013), 2010.
42. A. Fox and E. A. Brewer. Harvest, yield, and scalable tolerant systems. In Proceedings of the The 7th Workshop on Hot Topics in Operating Systems (HOTOS), HOTOS '99, pages 174-, Washington, DC, USA, 1999. IEEE Computer Society.
43. S. L. Garfinkel. An evaluation of amazon's grid computing services: Ec2, s3, and sqs. Technical report, Harvard University, 2007.
44. S. Ghemawat, H. Gobioff, and S.-T. Leung. The google file system. In Proceedings of the 19th Symposium on Operating Systems Principles (SOSP), SOSP '03, pages 29-43, New York, NY, USA, 2003. ACM.
45. S. Gilbert and N. Lynch. Brewer's conjecture and the feasibility of consistent, available, partition-tolerant web services. ACM SIGACT News, 33(2):51-59, June 2002.
46. W. Golab, X. Li, and M. A. Shah. Analyzing consistency properties for fun and profit. In Proceedings of the 30th Symposium on Principles of Distributed Computing (PODC), PODC '11, pages 197-206, New York, NY, USA, 2011. ACM.
47. R. Guerraoui, B. Garbinato, and K. R. Mazouni. The garf library of dsm consistency models. In Proceedings of the 6th European SIGOPS Workshop: Matching Operating Systems to Application Needs (EW), EW 6, pages 51-56, New York, NY, USA, 1994. ACM.
48. R. Guerraoui and C. Hari. On the consistency problem in mobile distributed computing. In Proceedings of the 2nd International Workshop on Principles of Mobile Computing (POMC), POMC '02, pages 51-57, New York, NY, USA, 2002. ACM.
49. P. Helland and D. Campbell. Building on quicksand. Proceedings of the 4th Conference on Innovative Data Research (CIDR), 2009.
50. J. M. Hellerstein, M. Stonebraker, and J. Hamilton. Architecture of a database system, volume 1. Now Publishers Inc, 2007.
51. M. P. Herlihy and J. M. Wing. Linearizability: A correctness condition for concurrent objects. ACM Transactions on Programming Languages and Systems, 12(3):463-492, July 1990.
52. H. Hermanns, U. Herzog, and J.-P. Katoen. Process algebra for performance evaluation. Theoretical Computer Science, 274(1-2):43-87, 2002.
53. IEEE. Standard 1061-1998, standard for a software quality metrics methodology. 1998.
54. H.-A. Jacobsen, P. Lee, and R. Yerneni. View maintenance in web data platforms. Technical report, CSRG No.599, University of Toronto, 2009.
55. C. Kaner and W. P. Bond. Software engineering metrics: What do they measure and how do we know? In Proceedings of the 10th International Software Metrics Symposium (METRICS), 2004.
56. M. Klems, D. Bermbach, and R. Weinert. A runtime quality measurement framework for cloud database service systems. In Proceedings of the 8th International Conference on the Quality of Information and Communications Technology (QUATIC), pages 38-46, Sept 2012.
57. M. Klems, M. Menzel, and R. Fischer. Consistency benchmarking: Evaluating the consistency behavior of middleware services in the cloud. In P. Maglio, M. Weske, J. Yang, and M. Fantinato, editors, Service-Oriented Computing, volume 6470 of Lecture Notes in Computer Science, pages 627-634. Springer Berlin Heidelberg, 2010.
58. D. Kossmann, T. Kraska, and S. Loesing. An evaluation of alternative architectures for transaction processing in the cloud. In Proceedings of the 30th International Conference on Management of Data (SIGMOD), SIGMOD '10, pages 579-590, New York, NY, USA, 2010. ACM.
59. S. Kounev. Performance modeling and evaluation of distributed component-based systems using queueing petri nets. IEEE Transactions on Software Engineering, 32(7):486-502, July 2006.
60. T. Kraska, M. Hentschel, G. Alonso, and D. Kossmann. Consistency rationing in the cloud: Pay only when it matters. Proceedings of the VLDB Endowment, 2(1):253-264, Aug. 2009.
61. T. Kraska, G. Pang, M. J. Franklin, S. Madden, and A. Fekete. Mdcc: Multi-data center consistency. In Proceedings of the 8th European Conference on Computer Systems (EUROSYS), EuroSys '13, pages 113-126, New York, NY, USA, 2013. ACM.
62. T. Kraska and B. Trushkowsky. The new database architectures. IEEE Internet Computing, 17(3):72-75, May 2013.
63. S. Krishnamurthy, W. H. Sanders, and M. Cukier. An adaptive framework for tunable consistency and timeliness using replication. In Proceedings of the 32nd International Conference on Dependable Systems and Networks (DSN), DSN '02, pages 17-26, Washington, DC, USA, 2002. IEEE Computer Society.
64. J. Kubiatowicz, D. Bindel, Y. Chen, S. Czerwinski, P. Eaton, D. Geels, R. Gummadi, S. Rhea, H. Weatherspoon, W. Weimer, C. Wells, and B. Zhao. Oceanstore: An architecture for global-scale persistent storage. ACM SIGPLAN Notices, 35(11):190-201, Nov. 2000.
65. A. Lakshman and P. Malik. Cassandra: A decentralized structured storage system. SIGOPS Operating Systems Review, 44(2):35-40, Apr. 2010.
66. L. Lamport. On interprocess communication. Springer Distributed Computing, 1(2):86-101, 1986.
67. L. Lamport. The part-time parliament. ACM Transactions on Computer Systems, 16(2):133-169, May 1998.
68. L. Lamport. Paxos made simple. ACM SIGACT News, 32(4):18-25, 2001.
69. C. Li, D. Porto, A. Clement, J. Gehrke, N. Preguiça, and R. Rodrigues. Making geo-replicated systems fast as possible, consistent when necessary. Technical report, MPI-SWS, 2012.
70. H. Li and S. Venugopal. Using reinforcement learning for controlling an elastic web application hosting platform. In Proceedings of the 8th International Conference on Autonomic Computing (ICAC), ICAC '11, pages 205-208, New York, NY, USA, 2011. ACM.
71. W. Lloyd, M. J. Freedman, M. Kaminsky, and D. G. Andersen. Don't settle for eventual:Scalable causal consistency for wide-area storage with cops. In Proceedings of the 23rd Symposium on Operating Systems Principles (SOSP), SOSP '11, pages 401-416, New York, NY, USA, 2011. ACM.
72. P. Mahajan, L. Alvisi, and M. Dahlin. Consistency, availability, and convergence. Technical report, TR-11-22, Computer Science Department, University of Texas at Austin, 2011.
73. S. Müller, D. Bermbach, S. Tai, and F. Pallas. Benchmarking the performance impact of transport layer security in cloud database systems. In Proceedings of the 2nd International Conference on Cloud Engineering (IC2E), to appear. IEEE, 2014.
74. T. M. Özsu and P. Valduriez. Principles of Distributed Database Systems. Prentice Hall, Inc., Englewood Cliffs, NJ, 1991.
75. J. Paluska, D. Saff, T. Yeh, and K. Chen. Footloose: a case for physical eventual consistency and selective conflict resolution. In Proceedings of the 5th Workshop on Mobile Computing Systems and Applications (HOTMOBILE), pages 170-179, Oct 2003.
76. V. Pareto. Manuale di economia politica, volume 13. Societa Editrice, 1906.
77. S. Patil, M. Polte, K. Ren,W. Tantisiriroj, L. Xiao, J. López, G. Gibson, A. Fuchs, and B. Rinaldi. Ycsb++: Benchmarking and performance debugging advanced features in scalable table stores. In Proceedings of the 2nd Symposium on Cloud Computing (SOCC), SOCC '11, pages 9:1-9:14, New York, NY, USA, 2011. ACM.
78. A. Popescu. Consistency in the acid and cap perspectives. http://nosql.mypopescu. com/post/4373459618/consistency-in-the-acid-and-cap-perspectives (accessed Aug 1,2013), 2011.
79. D. Pritchett. Base: An acid alternative. Queue, 6(3):48-55, May 2008.
80. T. Rabl, S. Gómez-Villamor, M. Sadoghi, V. Muntés-Mulero, H.-A. Jacobsen, and S. Mankovskii. Solving big data challenges for enterprise application performance management. Proceedings of the VLDB Endowment, 5(12):1724-1735, Aug. 2012.
81. M. R. Rahman, W. Golab, A. AuYoung, K. Keeton, and J. J. Wylie. Toward a principled framework for benchmarking consistency. In Proceedings of the 8th Conference on Hot Topics in System Dependability (HOTDEP), HotDep'12, pages 8-8, Berkeley, CA, USA, 2012. USENIX Association.
82. R. Ramakrishnan. Cap and cloud data management. IEEE Computer, 45(2):43-49, Feb. 2012.
83. P. Reiher, J. Heidemann, D. Ratner, G. Skinner, and G. Popek. Resolving file conflicts in the ficus file system. In Proceedings of the USENIX Summer Technical Conference (USTC), USTC'94, pages 12-12, Berkeley, CA, USA, 1994. USENIX Association.
84. S. Sakr, L. Zhao, H. Wada, and A. Liu. Clouddb autoadmin: Towards a truly elastic cloud-based data store. In Proceedings of the 9th International Conference on Web Services (ICWS), ICWS '11, pages 732-733,Washington, DC, USA, 2011. IEEE Computer Society.
85. M. Satyanarayanan, J. J. Kistler, P. Kumar, M. E. Okasaki, E. H. Siegel, and D. C. Steere. Coda: A highly available file system for a distributed workstation environment. IEEE Transactions on Computers, 39(4):447-459, Apr. 1990.
86. V. Schmidt. Wahrscheinlichkeitstheorie. http://www.mathematik.uni-ulm.de/ stochastik/ lehre/ws03%5F04/wr/skript/node38.html (accessed Jul 12,2013), 2003.
87. A. W. Services. Summary of the amazon ec2 and amazon rds service disruption in the us east region. https://aws.amazon.com/de/message/65648/ (accessed Aug 16,2013), 2011.
88. A. Singla, U. Ramachandran, and J. Hodgins. Temporal notions of synchronization and consistency in beehive. In Proceedings of the 9th Symposium on Parallel Algorithms and Architectures (SPAA), SPAA '97, pages 211-220, New York, NY, USA, 1997. ACM.
89. M. Stonebraker, S. Madden, D. J. Abadi, S. Harizopoulos, N. Hachem, and P. Helland. The end of an architectural era: (it's time for a complete rewrite). In Proceedings of the 33rd International Conference on Very Large Data Bases (VLDB), VLDB '07, pages 1150-1160. VLDB Endowment, 2007.
90. A. S. Tanenbaum and M. v. Steen. Distributed Systems: Principles and Paradigms. Pearson, Prentice Hall, Upper Saddle River, NJ, 2nd edition, 2007.
91. D. Terry. The impact of eventual consistency on application developers. http:// littlemindslargeclouds.wordpress.com/2013/09/ 27/ the-impact-of-eventual-consistency-on-application-developers/ (accessed Jan 13,2014), 2013.
92. D. Terry, A. Demers, K. Petersen, M. Spreitzer, M. Theimer, and B. Welch. Session guarantees for weakly consistent replicated data. In Proceedings of the 3rd International Conference on Parallel and Distributed Information Systems (PDGC), pages 140-149, Sep 1994.
93. D. B. Terry, M. M. Theimer, K. Petersen, A. J. Demers, M. J. Spreitzer, and C. H. Hauser. Managing update conflicts in bayou, a weakly connected replicated storage system. ACM SIGOPS Operating Systems Review, 29(5):172-182, Dec. 1995.
94. R. H. Thomas. A majority consensus approach to concurrency control for multiple copy databases. ACM Transactions on Database Systems, 4(2):180-209, June 1979.
95. F. Torres-Rojas and E. Meneses. Convergence through a weak consistency model:Timed causal consistency. Clei Electronic Journal, 8(2), 2005.
96. F. J. Torres-Rojas, M. Ahamad, and M. Raynal. Timed consistency for shared distributed objects. In Proceedings of the 18th Symposium on Principles of Distributed Computing (PODC), PODC '99, pages 163-172, New York, NY, USA, 1999. ACM.
97. W. Vogels. Eventually consistent. ACM Queue, 6(6):14-19, Oct. 2008.
98. H. Wada, A. Fekete, L. Zhao, K. Lee, and A. Liu. Data consistency properties and the trade-offs in commercial cloud storages: the consumers' perspective. In Proceedings of the 5th Conference on Innovative Data Systems Research (CIDR), pages 134-143, January 2011.
99. M. Welsh, D. Culler, and E. Brewer. Seda: An architecture for well-conditioned, scalable internet services. In Proceedings of the 18th ACM Symposium on Operating Systems Principles (SOSP), SOSP '01, pages 230-243, New York, NY, USA, 2001. ACM.
100. C. M. Woodside, J. E. Neilson, D. C. Petriu, and S. Majumdar. The stochastic rendezvous network model for performance of synchronous client-server-like distributed software. IEEE Transactions on Computers, 44(1):20-34, Jan. 1995.
101. G. Young. Quick thoughts on eventual consistency. http:// codebetter.com/gregyoung/ 2010/04/ 14/ quick-thoughts-on-eventual-consistency (accessed Jun 21,2013), 2010.
102. H. Yu and A. Vahdat. Design and evaluation of a conit-based continuous consistency model for replicated services. ACM Transactions on Computer Systems, 20(3):239-282, Aug. 2002.
103. K. Zellag and B. Kemme. How consistent is your cloud application? In Proceedings of the 3rd Symposium on Cloud Computing (SOCC), SOCC '12, pages 6:1-6:14, New York, NY, USA, 2012. ACM.
104. L. Zhao, A. Liu, and J. Keung. Evaluating cloud platform architecture with the care framework. In Proceedings of the 17th Asia Pacific Software Engineering Conference (APSEC), pages 60-69, Nov 2010.