Download Big Data Computing and Communications: Second International by Yu Wang, Ge Yu, Yanyong Zhang, Zhu Han, Guoren Wang PDF

By Yu Wang, Ge Yu, Yanyong Zhang, Zhu Han, Guoren Wang

This ebook constitutes the lawsuits of the second one overseas convention on giant information Computing and Communications, BigCom 2016, held in Shenyang, China, in July 2016. The 39 papers provided during this quantity have been conscientiously reviewed and chosen from ninety submissions.

BigCom is a global symposium devoted to addressing the demanding situations rising from immense facts comparable computing and networking.

The convention is focused to draw researchers and practitioners who're attracted to monstrous facts analytics, administration, safety and privateness, conversation and excessive functionality computing in its broadest sense.

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Read Online or Download Big Data Computing and Communications: Second International Conference, BigCom 2016, Shenyang, China, July 29-31, 2016. Proceedings PDF

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Additional resources for Big Data Computing and Communications: Second International Conference, BigCom 2016, Shenyang, China, July 29-31, 2016. Proceedings

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In: IEEE INFOCOM 2013, pp. 827–835 (2013) 10. : (M+1)st-price auction protocol. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 85(3), 676–683 (2002) 11. : Auction Theory. Academic Press, San Diego (2009) 12. : The knapsack problem, fully polynomial time approximation schemes (FPTAS) (2006). -E. Sun et al. 13. : Truth revelation in approximately efficient combinatorial auctions. J. ACM (JACM) 49(5), 577–602 (2002) 14. : Dynamic auction mechanism for cloud resource allocation. In: 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), pp.

We give a full consideration on the resource capacity and diversity of the system. The resource provisioning problem is formulated as an online cost optimized Steiner tree problem. VM cost, bandwidth cost, and delay cost are combined to evaluate the resource provisioning cost. To efficiently optimize the problem in a simplified method, we convert the problem into the combination of FL and ST problems. To deal with these two NP-hard problems, we provide online approximate optimal solutions. The experimental results show that the proposed approach is effective and efficient, which obviously cuts the resource cost during resource provisioning and shorten the computational delay of the scheduling plan.

Furthermore, we averagely cut the total cost of 3 % to 10 % comparing to the Greedy approach, and the computation time of our approach also significantly faster than the Greedy approach. The Greedy approach needs a few seconds to get the scheduling plan, but our approach just needs a few milliseconds, which is nearly as faster as the Nearest approach. The Nearest approach has the Optimal Resource Provisioning for Live Video Forwarding 37 shortest computation time among the three approaches, but has higher resource provisioning cost.

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