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Xiaoming Nan
Researcher at Ryerson University
Publications - 32
Citations - 428
Xiaoming Nan is an academic researcher from Ryerson University. The author has contributed to research in topics: Cloud computing & Resource allocation. The author has an hindex of 10, co-authored 32 publications receiving 409 citations. Previous affiliations of Xiaoming Nan include University of Toronto & Beijing University of Posts and Telecommunications.
Papers
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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.
Proceedings ArticleDOI
Optimal resource allocation for multimedia cloud in priority service scheme
Xiaoming Nan,Yifeng He,Ling Guan +2 more
TL;DR: The proposed queuing model is employed to optimize the resource allocation for multimedia cloud in priority service scheme and it is demonstrated that the proposed optimal resource allocation method can greatly enhance the performance of multimedia cloud data center in terms of resource cost and service response time.
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.
Proceedings ArticleDOI
Optimal allocation of virtual machines for cloud-based multimedia applications
Xiaoming Nan,Yifeng He,Ling Guan +2 more
TL;DR: Simulation results demonstrate that the proposed optimal VM allocation schemes can optimally allocate VMs to achieve a minimal resource cost.
Proceedings ArticleDOI
Optimization of workload scheduling for multimedia cloud computing
Xiaoming Nan,Yifeng He,Ling Guan +2 more
TL;DR: 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.