期刊名称：International Journal of Electronics and Computer Science Engineering
电子版ISSN：2277-1956
出版年度：2012
卷号：1
期号：4
页码：1970-1974
出版社：Buldanshahr : IJECSE
摘要：Clouds provide an inexpensive remote access to hardware and storage resources. It has become a widely used term in the industry. Academics has not remained unaware of this trend, and several educational solutions based on cloud technologies are already in place, especially for software as a service (SAAS) cloud. Extending this usage to infrastructure and platform clouds (IAAS,PAAS) has not been explored yet. There is no design to classify clouds based on different stages involved in the learning process of academics especially for computer science students. An implementation of platform service clouds is valued by both students and professors to achieve the course objectives and also these clouds offer a significant improvement over existing situations in labs where much effort was devoted to setting up the software necessary for course activities. These conventions strongly applies to other similar disciplines where students interact with resources that are not-self-contained (e.g., network nodes, databases, mechanical equipment etc) besides programming or performing virtual experiments. For implementing IAAS and PAAS clouds the virtual machines (VMs) in Amazon Clouds are used. But recent (August 6th 2011) events suggest that even a robust and efficient Amazon architecture suffers from down times and complications. So we propose an IO optimization technique to simplify management, lower costs and improve performance of cloud servers. An implementation of the proposed technique validates the claim.
