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Single Failure Recovery in Distributed Social Network

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Recent Challenges in Intelligent Information and Database Systems (ACIIDS 2021)

Abstract

This paper aims to propose a single failure recovery for a distributed social network. Single node and multi-node recovery are both non-trivial tasks. We have considered that a user is treated as a single independent server with its own independent storage and is focused only on single-user failure. Here, failure refers to the failure of the server as a whole. With these fundamental assumptions, a new fast recovery strategy for the single failed user is proposed. In this method, partial replication of node data is used for recovery of the node to reduce the storage issue.

This research is supported by Visvesvaraya Project funded by Digital India Corporation, established by Ministry of Electronics & Information Technology, Government of India.

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References

  1. Chen, R., Shi, J., Chen, Y., Zang, B., Guan, H., Chen, H.: PowerLyra: differentiated graph computation and partitioning on skewed graphs. ACM Trans. Parallel Comput. (TOPC) 5(3), 1–39 (2019)

    Article  Google Scholar 

  2. M Collective: Dark crystal. Accessed 30 July 2020

    Google Scholar 

  3. Datta, A., Buchegger, S., Vu, L.H., Strufe, T., Rzadca, K.: Decentralized online social networks. In: Furht, B. (ed.) Handbook of Social Network Technologies and Applications, pp. 349–378. Springer, Boston (2010). https://doi.org/10.1007/978-1-4419-7142-5_17

    Chapter  Google Scholar 

  4. Défago, X., Schiper, A., Urbán, P.: Total order broadcast and multicast algorithms: taxonomy and survey. ACM Comput. Surv. (CSUR) 36(4), 372–421 (2004)

    Article  Google Scholar 

  5. Lamport, L., Shostak, R., Pease, M.: The Byzantine generals problem ACM transactions on programming languages and systems, vol. 4, no. 3, pp. 382–401 (1982)

    Google Scholar 

  6. Lu, W., Shen, Y., Wang, T., Zhang, M., Jagadish, H.V., Du, X.: Fast failure recovery in vertex-centric distributed graph processing systems. IEEE Trans. Knowl. Data Eng. 31(4), 733–746 (2018)

    Article  Google Scholar 

  7. Noor, A.S.M., Deris, M.M.: Failure recovery mechanism in neighbor replica distribution architecture. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds.) ICICA 2010. LNCS, vol. 6377, pp. 41–48. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16167-4_6

    Chapter  Google Scholar 

  8. Noor, A.S.M., Deris, M.M.: Fail-stop failure recovery in neighbor replica environment. Procedia Comput. Sci. 19, 1040–1045 (2013)

    Article  Google Scholar 

  9. Onizuka, M., Fujimori, T., Shiokawa, H.: Graph partitioning for distributed graph processing. Data Sci. Eng. 2(1), 94–105 (2017)

    Article  Google Scholar 

  10. Shamir, A.: How to share a secret. Commun. ACM 22(11), 612–613 (1979)

    Article  MathSciNet  Google Scholar 

  11. Shen, Y., Chen, G., Jagadish, H., Lu, W., Ooi, B.C., Tudor, B.M.: Fast failure recovery in distributed graph processing systems. Proc. VLDB Endow. 8(4), 437–448 (2014)

    Article  Google Scholar 

  12. Tarr, D.: Secure Scuttlebutt. Accessed 29 July 2020

    Google Scholar 

  13. Tarr, D., Lavoie, E., Meyer, A., Tschudin, C.: Secure scuttlebutt: an identity-centric protocol for subjective and decentralized applications. In: Proceedings of the 6th ACM Conference on Information-Centric Networking, pp. 1–11 (2019)

    Google Scholar 

  14. Yan, D., Cheng, J., Yang, F.: Lightweight fault tolerance in large-scale distributed graph processing. arXiv preprint arXiv:1601.06496 (2016)

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Correspondence to Nabendu Chaki .

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Roy, C., Chakraborty, D., Debnath, S., Mukherjee, A., Chaki, N. (2021). Single Failure Recovery in Distributed Social Network. In: Hong, TP., Wojtkiewicz, K., Chawuthai, R., Sitek, P. (eds) Recent Challenges in Intelligent Information and Database Systems. ACIIDS 2021. Communications in Computer and Information Science, vol 1371. Springer, Singapore. https://doi.org/10.1007/978-981-16-1685-3_17

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  • DOI: https://doi.org/10.1007/978-981-16-1685-3_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1684-6

  • Online ISBN: 978-981-16-1685-3

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