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Information Technology Journal
Year: 2013  |  Volume: 12  |  Issue: 20  |  Page No.: 5885 - 5890

Research on Performance Enhancement of Cloud Based on Scheduling and Management Mode

Bin Chen, Zhijian Wang, Mingrong Mao and Ningze Shen    

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.

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