Abstract
Recently, Multimedia cloud is emerging as a promising technology to effectively process multimedia services. A key problem in multimedia cloud is how to deal with task scheduling and load balancing to satisfy the quality of service demands of users. In this paper, we propose a two levels task scheduling mechanism for multimedia cloud to addresses the problem. The first level scheduling is from the users’ multimedia application to the data centers, and the second is from the data centers to servers. The data centers and virtual machines both are modeled as M/M/1 queuing systems. The algorithm proposed formulates the task-scheduling problem as cooperative game among data centers. Then we allocate the tasks received by a data center to servers using cooperative game again among servers. Various simulations are conducted to validate the efficiency of the proposed task scheduling approaches. The results showed that the proposed solutions provided better performance as compared to the existing approaches.
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Wen, H., Hai-ying, Z., Chuang, L., et al., Effective load balancing for cloud-based multimedia system, Proc. 2011 International Conference on Electronic and Mechanical Engineering and Information Technology: IEEE, 2011, pp. 165–168.
Chun-Cheng Lin, H.C.D.D., Dynamic multiservice load balancing in cloud-based multimedia system, IEEE Syst. J., 2014, vol. 8, no. 1, pp. 225–234.
Nan, X., Yifeng, H., and Ling, G., Optimal resource allocation for multimedia cloud based on queuing model, Proc. 2011 IEEE 13th International Workshop on Multimedia Signal Processing, 2011, pp. 1–6.
Song, B., Hassan, M.M., Alamri, A., et al., A two-stage approach for task and resource management in multimedia cloud environment, Computing, 2014, pp. 1–27.
Lu, P., Sun, Q., Wu, K., et al. Distributed online hybrid cloud management for profit-driven multimedia cloud computing, IEEE Trans. Multimedia, 2015, vol. 17, no. 8, pp. 1297–1308.
Li, Y. and Zhuo, L., A resource allocation strategy for multimedia cloud using game theory, Proc. 2014 IEEE Fourth International Conference on Big Data and Cloud Computing (BdCloud), 2014, pp. 222–226.
Hassan, M.M., Cost-effective resource provisioning for multimedia cloud-based e-health systems, Multimedia Tools Appl., 2014, pp. 1–17.
Penmatsa, S. and Chronopoulos, A.T., Game-theoretic static load balancing for distributed systems, J. Parallel Distrib. Comput., 2011, vol. 71, no. 4, pp. 537–555.
Ghosh, P., Basu, K., and Das, S.K., A game theory-based pricing strategy to support single/multiclass job allocation schemes for bandwidth-constrained distributed computing systems, IEEE Trans. Parallel Distrib. Syst., 2007, vol. 18, no. 3, pp. 289–306.
SimPy. http://simpy.readthedocs.org/en/latest/index.html.
Chow, Y. and Kohler, W.H., Models for dynamic load balancing in a heterogeneous multiple processor system, IEEE Trans. Comput., 1979, vol. 100, no. 5, pp. 354–361.
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Liu, Y., Li, C. & Li, L. Distributed two-level cloud-based multimedia task scheduling. Aut. Control Comp. Sci. 50, 141–150 (2016). https://doi.org/10.3103/S0146411616030044
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DOI: https://doi.org/10.3103/S0146411616030044