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Exploring Key-Value Stores in Multi-Writer Byzantine-Resilient Register Emulations

Authors Tiago Oliveira, Ricardo Mendes, Alysson Bessani

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Tiago Oliveira
Ricardo Mendes
Alysson Bessani

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Tiago Oliveira, Ricardo Mendes, and Alysson Bessani. Exploring Key-Value Stores in Multi-Writer Byzantine-Resilient Register Emulations. In 20th International Conference on Principles of Distributed Systems (OPODIS 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 70, pp. 30:1-30:17, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2017)
https://doi.org/10.4230/LIPIcs.OPODIS.2016.30

Abstract

Resilient register emulation is a fundamental technique to implement dependable storage and distributed systems. In data-centric models, where servers are modeled as fail-prone base objects, classical solutions achieve resilience by using fault-tolerant quorums of read-write registers or read-modify-write objects. Recently, this model has attracted renewed interest due to the popularity of cloud storage providers (e.g., Amazon S3), that can be modeled as key-value stores (KVSs) and combined for providing secure and dependable multi-cloud storage services. In this paper we present three novel wait-free multi-writer multi-reader regular register emulations on top of Byzantine-prone KVSs. We implemented and evaluated these constructions using five existing cloud storage services and show that their performance matches or surpasses existing data-centric register emulations.
Keywords
  • Byzantine fault tolerance
  • register emulation
  • multi-writer
  • key-value store
  • data-centric algorithms

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References

  1. I. Abraham, G. Chockler, I. Keidar, and D. Malkhi. Byzantine disk Paxos: optimal resilience with Byzantine shared memory. Distributed Computing, 18(5), 2006. Google Scholar
  2. M. Aguilera, B. Englert, and E. Gafni. On using network attached disks as shared memory. In Proc. of the PODC, 2003. Google Scholar
  3. Amazon S3. URL: http://aws.amazon.com/s3/.
  4. H. Attiya, A. Bar-Noy, and D. Dolev. Sharing memory robustly in message-passing systems. Journal of the ACM, 42(1), 1995. Google Scholar
  5. C. Basescu et al. Robust data sharing with key-value stores. In Proc. of the DSN, 2012. Google Scholar
  6. A. Bessani, M. Correia, B. Quaresma, F. Andre, and P. Sousa. DepSky: Dependable and secure storage in cloud-of-clouds. ACM Transactions on Storage, 9(4), 2013. Google Scholar
  7. A. Bessani, R. Mendes, T. Oliveira, N. Neves, M. Correia, M. Pasin, and P. Verissimo. SCFS: a shared cloud-backed file system. In Proc. of the USENIX ATC, 2014. Google Scholar
  8. C. Cachin, B. Junker, and A. Sorniotti. On limitations of using cloud storage for data replication. In Proc. of the WRAITS, 2012. Google Scholar
  9. C. Cachin and S. Tessaro. Optimal resilience for erasure-coded Byzantine distributed storage. In Proc. of the DSN, 2006. Google Scholar
  10. B. Calder et al. Windows Azure storage: a highly available cloud storage service with strong consistency. In Proc. of the SOSP, 2011. Google Scholar
  11. G. Chockler, D. Dobre, A. Shraer, and A. Spiegelman. Space bounds for reliable multi-writer data store: Inherent cost of read/write primitives. In Proc. of the PODC, 2016. Google Scholar
  12. G. Chockler and D. Malkhi. Active disk paxos with infinitely many processes. Distributed Computing, 18(1), 2005. Google Scholar
  13. DepSky webpage. URL: http://cloud-of-clouds.github.io/depsky/.
  14. D. Dobre, G. O. Karame, W. Li, M. Majuntke, N. Suri, and M. Vukolic. Powerstore: Proofs of writing for efficient and robust storage. In Proc. of the CCS, 2013. Google Scholar
  15. E. Gafni and L. Lamport. Disk paxos. Distributed Computing, 16(1), 2003. Google Scholar
  16. G. Gibson et al. A cost-effective, high-bandwidth storage architecture. In Proc. of the ASPLOS, 1998. Google Scholar
  17. G. Goodson, J. Wylie, G. Ganger, and M. Reiter. Efficient Byzantine-tolerant erasure-coded storage. In Proc. of the DSN, 2004. Google Scholar
  18. Google storage. URL: https://developers.google.com/storage/.
  19. J. Hendricks, G. R. Ganger, and M. K. Reiter. Low-overhead Byzantine fault-tolerant storage. In Proc. of the SOSP, 2007. Google Scholar
  20. M. Herlihy. Wait-free synchronization. ACM Transactions on Programming Languages and Systems, 13(1), 1991. Google Scholar
  21. P. Jayanti, T. D. Chandra, and S. Toueg. Fault-tolerant wait-free shared objects. Journal of the ACM, 45(3), 1998. Google Scholar
  22. Hugo Krawczyk. Secret sharing made short. In Proc. of the CRYPTO, 1993. Google Scholar
  23. L. Lamport. On interprocess communication (part II). Distributed Computing, 1(1), 1986. Google Scholar
  24. R. Los, D. Shacklenford, and B. Sullivan. The notorious nine: Cloud Computing Top Threats in 2013. Technical report, Cloud Security Alliance (CSA), February 2013. Google Scholar
  25. D. Malkhi and M. Reiter. Byzantine quorum systems. Distributed Computing, 11(4), 1998. Google Scholar
  26. D. Malkhi and M. K. Reiter. Secure and scalable replication in Phalanx. In Proc. of the SRDS, 1998. Google Scholar
  27. J.P. Martin, L. Alvisi, and M. Dahlin. Minimal Byzantine storage. In Proc. of the DISC, 2002. Google Scholar
  28. MWMR-registers webpage. URL: https://github.com/cloud-of-clouds/mwmr-registers/.
  29. T. Oliveira, R. Mendes, and A. Bessani. Exploring key-value stores in multi-writer Byzantine-resilient register emulations. Technical Report DI-FCUL-2016-02, ULisboa, 2016. Google Scholar
  30. M. Rabin. Efficient dispersal of information for security, load balancing, and fault tolerance. Journal of the ACM, 36(2), 1989. Google Scholar
  31. Rackspace cloud files. URL: http://www.rackspace.co.uk/cloud/files.
  32. Softlayer Cloud Storage. URL: http://www.softlayer.com/Cloud-storage/.
  33. Y. Ye, L. Xiao, I-L. Yen, and F. Bastani. Secure, dependable, and high performance cloud storage. In Proc. of the SRDS, 2010. Google Scholar
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