基于排队模型的多媒体云资源优化分配

Xiaoming Nan, Yifeng He, L. Guan
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引用次数: 114

摘要

多媒体云作为一种特定的云范式,解决了云如何有效地处理多媒体服务并为多媒体应用程序提供QoS配置的问题。多媒体云面临着两大挑战。第一个挑战是多媒体云中的服务响应时间,第二个挑战是云资源的成本。本文基于排队模型对多媒体云的资源分配进行了优化。具体来说,我们对单类服务和多类服务的资源分配进行了优化。在每种情况下,我们分别制定和解决响应时间最小化问题和资源成本最小化问题。仿真结果表明,所提出的最优分配方案能够最优地利用云资源,实现最小的平均响应时间或最小的资源成本。
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Optimal resource allocation for multimedia cloud based on queuing model
Multimedia cloud, as a specific cloud paradigm, addresses how cloud can effectively process multimedia services and provide QoS provisioning for multimedia applications. There are two major challenges in multimedia cloud. The first challenge is the service response time in multimedia cloud, and the second challenge is the cost of cloud resources. In this paper, we optimize resource allocation for multimedia cloud based on queuing model. Specifically, we optimize the resource allocation in both single-class service case and multiple-class service case. In each case, we formulate and solve the response time minimization problem and resource cost minimization problem, respectively. Simulation results demonstrate that the proposed optimal allocation scheme can optimally utilize the cloud resources to achieve a minimal mean response time or a minimal resource cost.
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