Resource Sharing and Allocation in Cloud Via Social Networks

  • Authors

    • S Florence
    • C Shyamala Kumari
    • K Prema
    • L Leema Priyadarshini
    2018-04-17
    https://doi.org/10.14419/ijet.v7i2.19.15050
  • social network cloud, social network, access control mechanism, clustering techniques, cloud computing

  • Social network plays a major role in communication and interaction of the people. Nowadays, cloud computing is the emerging technology in the field of Information Technology. The allocation and sharing of resources can be possible in an innovative way, by combining the social networks processes and cloud computing concepts. In the social network cloud, based on the friend’s relationship strength the resources can be provided from one friend to another. Based on the clustering techniques the similar type of friends will be grouped and the resources will be allocated. The resource providers recommend the virtualized containers on their devices itself. For efficient allocation of resources the effective allocation algorithms are used. Based on the type of relationship they had, the relationship based access control mechanisms are provided.

     

     

  • References

    1. [1] M. Armbrust , Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz,David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia, “A View of Cloud Computing,†Comm. ACM, vol. 53, no. 4, pp. 50-58, 2010.

      [2] K. Chard, S. Caton, O. Rana, and K. Bubendorfer, “Social Cloud: Cloud Computing in Social Networks,†Proc. IEEE Third International Conference on Cloud Computing (CLOUD), pp. 99-106, 2010.

      [3] F. Gens, “New IDC IT Cloud Services Survey: Top Benefits and Challenges,†IDC exchange, http://blogs.idc.com/ie/?p=730, 2009.

      [4] comScore, “Its a Social World: Top 10 Need-to-Knows about Social Networking and Where Its Headed,†http://www.comscore.com/Insights/Presentations_and_Whitepapers/2011/it_is_a_social_world_top_10_need-to-knows_about_social_networking, 2011.

      [5] K. John, K. Bubendorfer, and K. Chard, “A Social Cloud for Public eResearch.,†Proc. Seventh IEEE Int’l Conf. Science, 2011.

      [6] J. Cappos, I. Beschastnikh, A. Krishnamurthy, and T. Anderson, “Seattle: A Platform for Educational Cloud Computing,†Proc. 40th Technical Symp. ACM Special Interest Group for Computer Science Education (SIGCSE ’09), 2009.

      [7] C. Haas, S. Caton, K. Chard, and C. Weinhardt, “Co Operative Infrastructures: An Economic Model for Providing Infrastructures for Social Cloud Computing,†Proc. 46th Ann. Hawaii Int’l Conf. System Sciences (HICSS), 2013.

      [8] H.T. Dinh, C. Lee, D. Niyato, and P. Wang, “A Survey of Mobile Cloud Computing: Architecture, Applications, and Approaches,†Wireless Comm. and Mobile Computing, vol. 13, pp. 1587-1611, 2013.

      [9] R. Gracia Tinedo, M. Sanchez;Artigas, A. Moreno Martinez, and P. Garcia Lopez, “Friendbox: A Hybrid F2F Personal Storage Application,†Proc. IEEE Fifth Int’l Conf. Cloud Computing (CLOUD), pp. 131-138, 2012.

      [10] Florence S, Shyamala Kumari C , “Smart health monitoring system based on big data analytics and wireless networksâ€, International journal of engineering and technology. Vol. 7, pp 109-111,2018.

      [12] Leema Priyadarshini L, Florence S , Prema K and Shyamala kumara C , “ predicting implicit behaviors using log analysisâ€, International journal of Engineering and Technology. Vol. 7, pp 91-95, 2018.

  • Downloads

  • How to Cite

    Florence, S., Shyamala Kumari, C., Prema, K., & Leema Priyadarshini, L. (2018). Resource Sharing and Allocation in Cloud Via Social Networks. International Journal of Engineering & Technology, 7(2.19), 66-69. https://doi.org/10.14419/ijet.v7i2.19.15050