Optimal resource allocation for multimedia cloud based on queuing model

Abstract

Abstract-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 singleclass 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.

Optimized resource distribution for interactive TV applications

“…However, once assigned these groups would be immovable (and therefore greedy); thus, later user groups would be more constrained and more likely to fail to find the appropriate resources. Much of the related works in the literature adopt similar greedy approaches to different degrees [15], [16], [17], [18], [24] and have therefore been used for the performance comparison of the proposed approach. Furthermore, a greedy allocation of resources can be applied during multicast tree colocation in the proposed approach (i.e., Step 3 of the heuristic method described in Section IV.C), and this method is therefore used to evaluate the effectiveness of the algorithm proposed in Step 2 of the heuristic method described in Section IV.C.…”

“…However, this implies that the effects of the network and the actual content on the user's perception of the application are ignored. In order to include some of the factors that had been overlooked, specifically the content dependency, Nan et al proposed application layer resource allocation mechanisms for multimedia applications [15], [16], [17], [18], where a queuing based First-In, First-Out (FIFO) approach for different media tasks was adopted. In each of these schemes, tasks in the queue were sequentially assigned the best processing resource using a greedy heuristic approach.…”

Performance Modeling of Proposed GUISET Middleware for Mobile Healthcare Services in E-Marketplaces

“…Our work is closely related to [23,24] where these authors model the Cloud as series of queues. What differentiate our work are the following:…”

RPOA Model-Based Optimal Resource Provisioning

“…Any Cloud user cares about two main criteria; the service response time in the data center, i.e., turnaround time [25], and the cost of the available resources that can be allocated to the service. Generally, the allocation process of any cloud service can be divided into three consecutive stages; scheduling, computation and transmission [25].…”

“…Generally, the allocation process of any cloud service can be divided into three consecutive stages; scheduling, computation and transmission [25].…”