Proceedings ArticleDOI
Optimization of workload scheduling for multimedia cloud computing
Xiaoming Nan,Yifeng He,Ling Guan +2 more
- pp 2872-2875
TLDR
Simulation results demonstrate that the proposed workload scheduling schemes can optimally balance workload to achieve the minimal response time or the minimal resource cost for multimedia application providers.Abstract:
The cloud based multimedia applications have been widely adopted in recent years. Due to the large-scale and time-varying workload, an effective workload scheduling scheme is becoming a challenge faced by multimedia application providers. In this paper, we study the workload scheduling schemes for multimedia cloud. Specifically, we examine and solve the response time minimization problem and the resource cost minimization problem, respectively. Moreover, we propose a greedy algorithm to efficiently schedule workload for practical multimedia cloud. Simulation results demonstrate that the proposed workload scheduling schemes can optimally balance workload to achieve the minimal response time or the minimal resource cost for multimedia application providers.read more
Citations
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Journal ArticleDOI
Distributed Online Hybrid Cloud Management for Profit-Driven Multimedia Cloud Computing
TL;DR: An online algorithm is proposed that can manage the hybrid cloud efficiently and maximize the profit of MCSP and determines the access control and routing of each multimedia service request, and allocates the resources in the Hybrid cloud accordingly.
Journal ArticleDOI
Queueing model based resource optimization for multimedia cloud
Xiaoming Nan,Yifeng He,Ling Guan +2 more
TL;DR: A queueing model is introduced to characterize the service process in multimedia cloud and resource allocation schemes can optimally allocate cloud resources for each service to achieve the minimal response time under a certain budget or guarantee the QoS provisioning at the minimal resource cost.
Journal ArticleDOI
Cost-effective resource provisioning for multimedia cloud-based e-health systems
TL;DR: A cost effective and dynamic VM allocation model based on Nash bargaining solution is proposed that 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.
Journal ArticleDOI
Virtual Machine Resource Allocation for Multimedia Cloud: A Nash Bargaining Approach
TL;DR: A cost effective and dynamic VM allocation model based on Nash bargaining solution is proposed that 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.
Proceedings ArticleDOI
A workload balanced approach for resource scheduling in cloud computing
TL;DR: The paper presents a new Load Balanced Resource Scheduling Algorithm (LBRS) which performs the resource scheduling in a balanced banner and proves that the LBRS algorithm outperforms an existing approach.
References
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Proceedings ArticleDOI
Optimal resource allocation for multimedia cloud based on queuing model
Xiaoming Nan,Yifeng He,Ling Guan +2 more
TL;DR: This paper optimize resource allocation for multimedia cloud based on queuing model and demonstrates 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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Optimal resource allocation for multimedia cloud based on queuing model
Xiaoming Nan,Yifeng He,Ling Guan +2 more