文章基本信息

标题：Resource Monitoring Algorithms Evaluation For Cloud Environment
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作者：Mr. Mostafa M. AlSayed ; Dr. Shrerif M. Khattab ; Professor Fatma A. Omara 等
期刊名称：International Journal of Computer Science and Security (IJCSS)
电子版ISSN：1985-1553
出版年度：2013
卷号：7
期号：5
页码：159-174
出版社：Computer Science Journals
摘要：Cloud computing is a type of distributed computing allowing to share many resources such as CPU, memory, storage ...etc. The status of these resources changes from time to time due to the dynamic adaptive ability of the cloud computing characteristics. Hence, the powerful and scalable monitoring algorithm is needed to monitor the status of these resources throughout the time. There are many models have been proposed for monitoring the distributed systems resources; the push-based, the pull-based, and the push/pull model. Most of the common monitoring systems are based on these models (e.g., Ganglia which based on push model and Nagios, which based on pull model). According to the work in this paper, a comparative study has been done to implement and evaluate these three models on the cloud environment. The implementation results showed that the push-based model outperforms the other two models due to its high scalability, stability, and efficiency.
关键词：Cloud Computing; Resource Monitoring; Virtualization; Scalability.