Bin Chen
Computer and Information Engineering College of HoHai University, Jiangsu, Nanjing, 211100, China
Zhijian Wang
Computer and Information Engineering College of HoHai University, Jiangsu, Nanjing, 211100, China
Mingrong Mao
Information Office of Nanjing Normal University, Jiangsu, Nanjing, 210046, China
Ningze Shen
Information Office of Nanjing Normal University, Jiangsu, Nanjing, 210046, China
ABSTRACT
Job dispatching and resource management are the most import factors which decide the performance of the cloud computing environment. Job dispatching can be devide into User dispatching and Task dispatching based on dispatching model. There are vatious significant issues in resource management, such as maximum computing performance and green computing, aim to accomplish tasks with the lowest cost. Dispatching and management objects must be collected by system statistic information as reference. The Performance Agent and Server Interface Method (PASI) has been collected the row data for the cloud. The commom security technology applied in the cloud are passive defense methods, real-time active monitoring or Deep Packets Inspection (DPI). The main purpose is to realize active inspection and defense. This study proposes an effective framework to enhance comprehensive performance guideline of cloud computing center. The framework is built based on the PASI integrate with DPI module and put forward a job dispatching and resource management module based on safe PASI. Results of the experiment indicate that the model effectively improve the efficiency of the cloud environment.
PDF References Citation
How to cite this article
Bin Chen, Zhijian Wang, Mingrong Mao and Ningze Shen, 2013. Research on Performance Enhancement of Cloud Based on Scheduling and Management
Mode. Information Technology Journal, 12: 5885-5890.
DOI: 10.3923/itj.2013.5885.5890
URL: https://scialert.net/abstract/?doi=itj.2013.5885.5890
DOI: 10.3923/itj.2013.5885.5890
URL: https://scialert.net/abstract/?doi=itj.2013.5885.5890
REFERENCES
- Khazaei, H., J. Misi and V.B. Misic, 2011. Performance analysis of cloud centers under burst arrivals and total rejection policy. Proceedings of the IEEE Global Telecommunications Conference, December 5-9, 2011, Houston, TX., USA., pp: 1-6.
CrossRef - Foster, I., Y. Zhao, I. Raicu and S. Lu, 2008. Cloud computing and grid computing 360-degree compared. Proceedings of the Grid Computing Environments Workshop, November 12-16, 2008, Austin, TX., USA., pp: 1-10.
CrossRef - Jain, M., 2005. Finite capacity M/M/r queueing system with queue-dependent servers. Comput. Math. Appl., 50: 187-199.
CrossRefDirect Link - Ke, J.B., J.C. Ke and C.H. Lin, 2010. Cost optimization of an M/M/r queueing system with queue-dependent servers: Genetic algorithm. Proceedings of the 5th International Conference on Queueing Theory and Network Applications, July 24-26, 2010, Beijing, China, pp: 82-86.
CrossRef - Jackson, K.R., K. Muriki, L. Ramakrishnan, K.J. Runge and R.C. Thomas, 2011. Performance and cost analysis of the supernova factory on the Amazon AWS cloud. Sci. Program., 19: 107-119.
CrossRefDirect Link - RajaRaajeswari, S., R. Selvarani and P. Raj, 2012. A performance analysis method for Service-Oriented Cloud Applications (SOCAs). Proceedings of the International Conference on Computer Communication and Informatics, January 10-12, 2012, Coimbatore, India, pp: 1-7.
CrossRef - Fu, S., 2011. Performance metric selection for autonomic anomaly detection on cloud computing systems. Proceedings of the IEEE Global Telecommunications Conference, December 5-9, 2011, Houston, TX., USA., pp: 1-5.
CrossRef - Goswami, V., S.S. Patra and G.B. Mund, 2012. Performance analysis of cloud with queue-dependent virtual machines. Proceedings of the 1st International Conference on Recent Advances in Information Technology, March 15-17, 2012, Dhanbad, India, pp: 357-362.
CrossRef - Bell, W.H., D.G. Cameron, L. Capozza, A.P. Millar, K. Stockinger and F. Zini, 2002. Simulation of dynamic grid replication strategies in OptorSim. Proceedings of the 3rd International Workshop on Grid Computing, November 18, 2002, Baltimore, MD., USA., pp: 46-57.
CrossRef - Zhang, Y.L., Z.B. Zheng and M.R. Lyu, 2012. Real-Time performance prediction for cloud components. Proceedings of the 15th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, April 11, 2012, Shenzhen, China, pp: 106-111.
CrossRef - Zhang, Y., Z. Zheng and M.R. Lyu, 2011. Exploring latent features for memory-based QoS prediction in cloud computing. Proceedings of the 30th IEEE Symposium on Reliable Distributed Systems, October 4-7, 2011, Madrid, Spain, pp: 1-10.
CrossRef