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Advances in Computer Communication and Computational Sciences pp 229–240Cite as

Adaptive Resource Allocation in Interoperable Cloud Services

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 760))

Abstract

Interoperable cloud computing is the one in which the services or resources of one cloud can be accessed by another cloud. The implementation of interoperable cloud architecture is a challenging one because various characteristics of the cloud computing environment need to be considered for its achievement. The aim of this work is to implement interoperable cloud computing with the awareness of service-level agreements and to provide adequate resources when shortage of resources occurs at one cloud while providing the agreed services to the user. To achieve this, we proposed a methodology of interoperability-based flexible resource management. Initially, the SLA templates of private and public cloud are mapped using the Soft TF-IDF metric with case-based reasoning (CBR) approach. Then, based on the mapped SLAs, different clusters of cloud providers are formed with the help of K-means clustering technique. And finally, if one of the cloud in a cluster faces the problem of resource shortage, the flexible resource allocation is provided through the adaptive dimensional search algorithm.

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References

  1. Katsaros, G., Kousiouris, G., Gogouvitis, S.V., Kyriazis, D., Menychtas, A., Varvarigou, T.: A self-adaptive hierarchical monitoring mechanism for clouds. J. Syst. Softw. 85(5), 1029–1041 (2012)

    Article  Google Scholar 

  2. Dikaiakos, M.D., Katsaros, D., Mehra, P., Pallis, G., Vakali, A.: Cloud computing: distributed internet computing for it and scientific research. IEEE Internet Comput. 13(5), 10–13 (2009)

    Article  Google Scholar 

  3. Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging it platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Gener. Comput. Syst. 25(6), 599–616 (2009)

    Article  Google Scholar 

  4. Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., Ghalsasi, A.: Cloud computing the business perspective. Decis. Support Syst. 51(1), 176–189 (2011)

    Article  Google Scholar 

  5. Kaufman, L.M.: Data security in the world of cloud computing. IEEE Secur. Priv. 7(4), 61–64 (2009)

    Article  Google Scholar 

  6. Petcu, D., Macariu, G., Panica, S., Crăciun, C.: Portable cloud applicationsfrom theory to practice. Future Gener. Comput. Syst. 29(6), 1417–1430 (2013)

    Article  Google Scholar 

  7. Ranjan, R.: The cloud interoperability challenge. IEEE Cloud Comput. 1(2), 20–24 (2014)

    Article  Google Scholar 

  8. Hofmann, P., Woods, D.: Cloud computing: the limits of public clouds for business applications. IEEE Internet Comput. 14(6), 90–93 (2010)

    Article  Google Scholar 

  9. Blair, G., Grace, P.: Emergent middleware: tackling the interoperability problem. IEEE Internet Comput. 1, 78–82 (2012)

    Article  Google Scholar 

  10. Rochwerger, B., Breitgand, D., Levy, E., Galis, A., Nagin, K., Llorente, I.M., Montero, R., Wolfsthal, Y., Elmroth, E., Caceres, J., et al.: The reservoir model and architecture for open federated cloud computing. IBM J. Res. Dev. 53(4), 535–545 (2009)

    Article  Google Scholar 

  11. Beloglazov, A., Abawajy, J., Buyya, R.: Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Gener. Comput. Syst. 28(5), 755–768 (2012)

    Article  Google Scholar 

  12. Silaghi, G.C., Şerban, L.D., Litan, C.M.: A time-constrained sla negotiation strategy in competitive computational grids. Future Gener. Comput. Syst. 28(8), 1303–1315 (2012)

    Article  Google Scholar 

  13. Goudarzi, H., Pedram, M.: Multi-dimensional SLA-based resource allocation for multi-tier cloud computing systems. In: 2011 IEEE International Conference on Cloud Computing (CLOUD), pp. 324–331. IEEE (2011)

    Google Scholar 

  14. Abu Sharkh, M., Jammal, M., Shami, A., Ouda, A.: Resource allocation in a network-based cloud computing environment: design challenges. IEEE Commun. Mag. 51(11), 46–52 (2013)

    Article  Google Scholar 

  15. Huang, C.-J., Guan, C.-T., Chen, H.-M., Wang, Y.-W., Chang, S.-C., Li, C.-Y., Weng, C.-H.: An adaptive resource management scheme in cloud computing. Eng. Appl. Artif. Intell. 26(1), 382–389 (2013)

    Article  Google Scholar 

  16. Addis, B., Ardagna, D., Panicucci, B., Squillante, M.S., Zhang, L.: A hierarchical approach for the resource management of very large cloud platforms. IEEE Trans. Dependable Secure Comput. 10(5), 253–272 (2013)

    Article  Google Scholar 

  17. Shen, H., Liu, G.: An efficient and trustworthy resource sharing platform for collaborative cloud computing. IEEE Trans. Parallel Distrib. Syst. 25(4), 862–875 (2014)

    Article  Google Scholar 

  18. Lu, D., Ma, J., Xi, N.: A universal fairness evaluation framework for resource allocation in cloud computing. China Commun. 12(5), 113–122 (2015)

    Article  Google Scholar 

  19. Unger, T., Leymann, F., Mauchart, S., Scheibler, T.: Aggregation of service level agreements in the context of business processes. In: 12th International IEEE Enterprise Distributed Object Computing Conference, EDOC’08, pp. 43–52. IEEE (2008)

    Google Scholar 

  20. Cohen, W.W., Ravikumar, P.D., Fienberg, S.E., et al.: A comparison of string distance metrics for name-matching tasks. IIWeb 2003, 73–78 (2003)

    Google Scholar 

  21. Hasançebi, O., Azad, S.K.: Adaptive dimensional search: a new metaheuristic algorithm for discrete truss sizing optimization. Comput. Struct. 154, 1–16 (2015)

    Article  Google Scholar 

  22. Xiao, Z., Song, W., Chen, Q.: Dynamic resource allocation using virtual machines for cloud computing environment. IEEE Trans. Parallel Distrib. Syst. 24(6), 1107–1117 (2013)

    Article  Google Scholar 

  23. Breskovic, I., Maurer, M., Emeakaroha, V.C., Brandic, I., Dustdar, S.: Cost-efficient utilization of public SLA templates in autonomic cloud markets. In: 2011 Fourth IEEE International Conference on Utility and Cloud Computing (UCC), pp. 229–236. IEEE (2011)

    Google Scholar 

  24. Javadi, B., Thulasiraman, P., Buyya, R.: Cloud resource provisioning to extend the capacity of local resources in the presence of failures. In: 2012 IEEE 14th International Conference on High Performance Computing and Communication and 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), pp. 311–319. IEEE (2012)

    Google Scholar 

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Author information

Authors and Affiliations

  1. NITK Surathkal, Surathkal, Karnataka, India

    S. Anithakumari & K. Chandrasekaran

Authors
  1. S. Anithakumari
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  2. K. Chandrasekaran
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Corresponding author

Correspondence to S. Anithakumari .

Editor information

Editors and Affiliations

  1. Department of Mathematics & Computer Science, University of Missouri, St. Louis, Missouri, USA

    Sanjiv K. Bhatia

  2. Computer Science Engineering Department, ABES Engineering College, Ghaziabad, India

    Shailesh Tiwari

  3. Department of Computer Science & Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  4. Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad, India

    Munesh C. Trivedi

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© 2019 Springer Nature Singapore Pte Ltd.

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Anithakumari, S., Chandrasekaran, K. (2019). Adaptive Resource Allocation in Interoperable Cloud Services. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 760. Springer, Singapore. https://doi.org/10.1007/978-981-13-0344-9_19

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