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Adjacency Cloud-Oriented Storage Overlay Topology Using Self-organizing M-Way Tree

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International Conference on Innovative Computing and Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1059))

Abstract

This paper proposes a self-organizing and scalable storage approach named adjacency COS overlay topology (ACOT). This topology is based on balanced multi-way tree organization. ACOT removes the traditional static and centralized storage management and adopts the dynamic and highly scalable data accessibility for the cloud-oriented storage system. A Hadoop test bed has been created for experimental review and result in analysis on various aspects like dynamicity, scalability, effectiveness, and bandwidth evaluation of proposed topology. Our experiments have proven that the ACOT topology offers the dynamic and highly scalable for cloud-oriented storage systems.

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References

  1. Alsedairy T, Qi Y, Imran A, Imran MA, Evans B (2015) Self organising cloud cells: a resource efficient network densification strategy. Trans Emerging Telecommun Technol 26(8):1096–1107

    Article  Google Scholar 

  2. Andrzejak A, Graupner S, Kotov V, Trinks H (2002) Algorithms for self-organization and adaptive service placement in dynamic distributed systems. Internet Systems and Storage Laboratory Publisher: HP Laboratories. https://doi.org/10.1.1.10.431. Web Access: http://hpl.hp.com

  3. Campos MM, Carpenter GA (2001) S-tree: self-organizing trees for data clustering and online vector quantization. Neural Netw 14(4–5):505–525

    Article  Google Scholar 

  4. Caprarescu BA, Calcavecchia NM, Di Nitto E, Dubois DJ (2010) Sos cloud: self-organizing services in the cloud. In: International conference on bio-inspired models of network, information, and computing systems. Springer, pp 48–55

    Google Scholar 

  5. Deka GC (2014) A survey of cloud database systems. IT Prof 16(2):50–57

    Article  Google Scholar 

  6. Du S, Khan A, PalChaudhuri S, Post A, Saha AK, Druschel P, Johnson DB, Riedi R (2008) Safari: a self-organizing, hierarchical architecture for scalable ad hoc networking. Ad Hoc Netw 6(4):485–507

    Article  Google Scholar 

  7. Istin MD, Visan A, Pop F, Cristea V (2010) Sopsys: self-organizing decentralized peer-to-peer system based on well balanced multi-way trees. In: 2010 International conference on P2P, parallel, grid, cloud and internet computing (3PGCIC). IEEE, pp 369–374

    Google Scholar 

  8. Kumar A, Bawa S (2012) Distributed and big data storage management in grid computing. arXiv preprint arXiv:1207.2867 (2012)

  9. Kumar A, Bawa S (2012) Virtualization of large-scale data storage system to achieve dynamicity and scalability in grid computing. In: Advances in computer science, engineering & applications. Springer, pp 323–331

    Google Scholar 

  10. Kumar A, Bawa S Generalized ant colony optimizer: swarm-based meta-heuristic algorithm for cloud services execution. Computing pp. 1–24 (2018)

    Google Scholar 

  11. Li X, Wang S, Wu W, Chen X, Xiao B (2018) Interest tree based information dissemination via vehicular named data networking. In: 2018 27th International conference on computer communication and networks (ICCCN). IEEE, pp 1–9

    Google Scholar 

  12. Lin W, Qi D (2010) Research on resource self-organizing model for cloud computing. In: 2010 International conference on internet technology and applications. IEEE, pp 1–5

    Google Scholar 

  13. Mastroianni C, Meo M, Papuzzo G (2013) Probabilistic consolidation of virtual machines in self-organizing cloud data centers. IEEE Trans Cloud Comput 1(2):215–228

    Article  Google Scholar 

  14. Pavlo A, Paulson E, Rasin A, Abadi DJ, DeWitt DJ, Madden S, Stonebraker M (2009) A comparison of approaches to large-scale data analysis. In: Proceedings of the 2009 ACM SIGMOD international conference on management of data. ACM, pp 165–178

    Google Scholar 

  15. Pournaras E, Warnier M, Brazier FM (2014) Adaptive self-organization in distributed tree topologies. Int J Distrib Syst Technolog (IJDST) 5(3):24–57

    Article  Google Scholar 

  16. Qiu M, Gai K, Thuraisingham B, Tao L, Zhao H (2018) Proactive user-centric secure data scheme using attribute-based semantic access controls for mobile clouds in financial industry. Future Gener Comput Syst 80:421–429

    Article  Google Scholar 

  17. Yee TT, Naing TT (2011) Pc-cluster based storage system architecture for cloud storage. Int J Cloud Comput: Serv Archit (IJCCSA) 1(3):117–128

    Google Scholar 

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Correspondence to Ajay Kumar .

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Kumar, A., Bawa, S. (2020). Adjacency Cloud-Oriented Storage Overlay Topology Using Self-organizing M-Way Tree. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_40

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