Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 5, May 2017
Dynamic Ask for Redirection and Asset Provisioning for Cloud-Based Video Administrations under Heterogeneous Condition
Nandini BK, Veerappa BN
Cloud computing provides a new opportunity for Video Service Providers (VSP) to running compute-intensive video applications in a cost effective manner. Under this paradigm, a VSP may rent virtual machines (VMs) from multiple geo-distributed datacenters that are close to video requestors to run their services. As user demands are difficult to predict and the prices of the VMs vary in different time and region, optimizing the number of VMs of each type rented from datacenters located in different regions in a given time frame becomes essential to achieve cost effectiveness for VSPs. Meanwhile, it is equally important to guarantee users Quality of Experience (QoE) with rented VMs. In this paper, We formulate the problem as a stochastic optimization problem and design a Lyapunov optimization framework based online algorithm to solve it. Our method is able to minimize the long-term time average cost of renting cloud resources while maintaining the user QoE. Theoretical analysis shows that our online algorithm can produce a solution within an upper bound to the optimal solution achieved through offline computing.
Keywords: Cloud computing, cloud-based video service, request redirection, resource provision, Lyapunov optimization
Edition: Volume 6 Issue 5, May 2017
Pages: 1755 - 1758
How to Cite this Article?
Nandini BK, Veerappa BN, "Dynamic Ask for Redirection and Asset Provisioning for Cloud-Based Video Administrations under Heterogeneous Condition", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20173640, Volume 6 Issue 5, May 2017, 1755 - 1758
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