Virtual Machine Resource Allocation for Multimedia Cloud: A Nash Bargaining Approach

Procedia Computer Science - Tập 34 - Trang 571-576 - 2014
Mohammad Mehedi Hassan1, Atif Alamri1
1College of Computer and Information Sciences, Chair of Pervasive and Mobile Computing, King Saud University, Riyadh, Saudi Arabia

Tài liệu tham khảo

Zhu, 2011, Multimedia cloud computing Signal Processing Magazine, IEEE., 28, 59 Xiao, 2013, Dynamic resource allocation using virtual machines for cloud computing environment, Parallel and Distributed Systems, IEEE Transactions on, 24, 1107 Feng, 2012, Bargaining towards maximized resource utilization in video streaming datacenters, in: INFOCOM 2012 Proceedings IEEE, IEEE, 1134 Hossain, 2012, Resource allocation for service composition in cloud-based video surveillance platform, in: Multimedia Expo Workshops (ICMEW) 2012 IEEE. International Conference on IEEE., 408 Nan, 2011, Optimal resource allocation for multimedia cloud based on queuing model, in: Multimedia Signal Processing (MMSP), 2011 IEEE 13th International Workshop on, 1 Wen, 2011, Effective load balancing for cloud-based multimedia system in: Electronic Mechanical Engineering Information Technology (EMEIT), International Conference on, 1, 165 Nan, 2013, Optimization of workload scheduling for multimedia cloud computing, in: Circuits Systems (ISCAS) 2013 IEEE. International Symposium on IEEE, 2872 L. Zhou, Z. Yang, J.J. Rodrigues, M. Guizani, Exploring blind online scheduling for mobile cloud multimedia services, Wireless Communications, IEEE 20.(3). Bessis, 2013, Cloud scheduling optimization: A reactive model to enable dynamic deployment of virtual machines instantiations, INFORMATICA, 24, 357, 10.15388/Informatica.2013.400 Jain, 2012, Near-optimal scheduling mechanisms for deadline-sensitive jobs in large computing clusters, in: Proceedinbgs of the 24th A.C.M. symposium on Parallelism in algorithms architectures A.C.M., 255 Myerson, 2013 Borwein, 2010, 3 Calheiros, 2011, Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms, Software: Practice and Experience, 41, 23