Abstract
This paper presents a QoS-based resource allocation method for handling multimedia tasks in the cloud. Firstly, with the introduction of multiple QoS requirements of the users and the cloud service providers, the virtual resource allocation problem should be considered from three aspects: completion time, cost and energy consumption. Then the QoS-based resource allocation method is proposed. In accordance with the proposed utility function, the resource allocation results from the initial allocation will be reallocated, the best allocation results are obtained ultimately. The experimental results show that the proposed algorithm can efficiently achieve the optimal resource allocation results compared with the inherent allocation method. In addition, this algorithm also can achieve both the task utility maximization and the resource utilization maximization even under the packet loss case.
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References
Leavitt, N.: Is Cloud Computing Really Ready for Prime Time. Computer 42, 15–20 (2009)
Zhu, W., Luo, C., Wang, J., Li, S.: Multimedia Cloud Computing. IEEE Signal Processing 28, 59–69 (2011)
Nan, X., He, Y., Guan, L.: Optimal Resource Allocation for Multimedia Cloud Based on Queuing Model. In: IEEE International Workshop on Multimedia Signal Processing, pp. 1–6 (2011)
Lee, G., Tolia, N., Ranganathan, P., Katz, R.H.: Topology-aware Resource Allocation for Data-intensive Workloads. Computer Communication Review 41, 120–124 (2011)
Jung, G., Sim, K.M.: Agent-based Adaptive Resource Allocation on the Cloud Computing Environment. In: 40th IEEE International Conference on Parallel Processing Workshops, pp. 345–351 (2011)
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© 2013 Springer-Verlag Berlin Heidelberg
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Li, Y., Zhuo, L., Shen, H. (2013). An Efficient Resource Allocation Method for Multimedia Cloud Computing. In: Sun, C., Fang, F., Zhou, ZH., Yang, W., Liu, ZY. (eds) Intelligence Science and Big Data Engineering. IScIDE 2013. Lecture Notes in Computer Science, vol 8261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42057-3_32
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DOI: https://doi.org/10.1007/978-3-642-42057-3_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-42056-6
Online ISBN: 978-3-642-42057-3
eBook Packages: Computer ScienceComputer Science (R0)