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Cost-effective resource provisioning for multimedia cloud-based e-health systems

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Abstract

Recently, multimedia cloud is being considered as a new effective serving mode in e-Health area that meets the requirement of scalable and economic multimedia service for e-health. It can provide a flexible stack of powerful Virtual Machine (VM) resources of cloud like CPU, memory, storage, network bandwidth etc. on demand to manage e-health media services and applications (e.g. medical image/video retrieval, health video transcoding, streaming, video rendering, sharing and delivery) at lower cost. However, one major issue here is how to efficiently allocate VM resources dynamically based on e-health applications’ QoS demands and support energy and cost savings by optimizing the number of servers in use. In order to solve this problem, we propose a cost effective and dynamic VM allocation model based on Nash bargaining solution. With extensive simulations it is shown that the proposed mechanism can reduce the overall cost of running servers while at the same time guarantee QoS demand and maximize resource utilization in various dimensions of server resources.

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Acknowledgments

This work was supported by the Research Center of College of Computer and Information Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia. The author is grateful for this support.

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  1. Information Systems Department and Chair of Pervasive and Mobile Computing, College of Computer and Information Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia

    Mohammad Mehedi Hassan

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  1. Mohammad Mehedi Hassan
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Correspondence to Mohammad Mehedi Hassan.

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Hassan, M.M. Cost-effective resource provisioning for multimedia cloud-based e-health systems. Multimed Tools Appl 74, 5225–5241 (2015). https://doi.org/10.1007/s11042-014-2040-0

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