IJCNS  Vol.4 No.12 A , December 2011
IaaS Public Cloud Computing Platform Scheduling Model and Optimization Analysis
Abstract: IaaS (Infrastructure as a Platform) public cloud is one mainstream service mode for public cloud computing. The design aim of one IaaS public cloud is to enlarge the hardware-usage of whole platform, optimize the virtual machine deployment and enhance the accept rate of service demand. In this paper we create one service model for IaaS public cloud, and based on the waiting-line theory to optimize the service model, the queue length and the configuration of scheduling server. And create one demand-vector based scheduling model, to filter the available host machine according to the match of demand and metadata of available resource. The scheduling model can be bonded with the virtual machine motion to reallocate the resources to guarantee the available rate of the whole platform. The feasibility of the algorithm is verified on our own IaaS public cloud computing platform.
Cite this paper: nullA. Sun, T. Ji, Q. Yue and F. Xiong, "IaaS Public Cloud Computing Platform Scheduling Model and Optimization Analysis," International Journal of Communications, Network and System Sciences, Vol. 4 No. 12, 2011, pp. 803-811. doi: 10.4236/ijcns.2011.432098.

[1]   K. Chen and W. M. Zheng, “Cloud Computing: System Instance and Current State,” Journal of Software, Vol. 20, No. 5, 2009, pp. 1337-1348. doi:10.3724/SP.J.1001.2009.03493

[2]   Z. W. Xu, H. M. Liao, et al., “The Classification Research of Network Computing System,” Journal of Computing Machine, Vol. 18, No. 9, 2008, pp. 1509-1515.

[3]   G. W. Zhang, R. He and Y. Liu, “The Evolution Based on Cloud Model,” Journal of Computing Machine, Vol. 7, 2008, pp. 1233-1239.

[4]   R. Buyya, Y. S. Chee and S. Venugopal, “Market-Oriented Cloud Computing: Vision, Hype, and Reality for Deliverring,” 10th IEEE International Conference on High Performance Computing and Communications, Dalian, 25-27 September 2008, pp. 5-13.

[5]   T. Berners-Lee, et al., “Creating a Science of the Web,” Science, Vol. 313, No. 5788, 2006, pp. 769-771. doi:10.1126/science.1126902

[6]   A. Kemal Delic, “On Dependability of Corporate Grids,” Ubiquity, Vol. 6, No. 45, 2005, p. 1. doi:10.1145/1113164.1113162

[7]   K. Delic and M. Walker, “Architecting Enterprise Grids: Possible Inflection Points”, IADIS International Conference on Applied Computing, Salamanca, 18-20 February 2007, pp. 113-121.

[8]   I. Foster, “Service-Oriented Science,” Science, Vol. 308, No. 6, 2005, pp. 814-817. doi:10.1126/science.1110411

[9]   E. Hand, “Head in the Clouds,” Nature, Vol. 449, No. 24, 2007, pp. 963-970. doi:10.1038/449963a