文章基本信息

标题：Enhance Distribution of Load in Cloud
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作者：Rashi Saxena ; Tarun Gupta
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：7
页码：13230-13236
出版社：IJECS
摘要：This paper proposes and evaluates an approach to the parallelization, deployment and management of applications thatintegrates several emerging technologies for distributed computing. The proposed approach uses the Map Reduce paradigm to parallelizetools and manage their execution, machine virtualization to encapsulate their execution environments and commonly used data sets intoflexibly deployable virtual machines. Multi node environment in which one node will act as a gateway client machine can access the clusterthrough the gateway via REST API. Using this concept we propose a virtual infrastructure gateway that lifts this restriction. Throughgateway cloud consumers provide deployment hints on the possible mapping of VMs to physical nodes. Such hints include the collocationand ant collocation of VMs, the existence of potential performance bottlenecks, the presence of underlying hardware features (e.g., highavailability), the proximity of certain VMs to data repositories, or any other information that would contribute in a more effective placementof VMs to physical hosting nodes. Oozier will allow REST access for submitting and monitoring jobs. Cloud Computing allows cloudconsumers to scale up and down their resource usage based on demand using the Apache Hadoop, using this prototype we are analyzingvarious techniques for scalability in cloud. It also demonstrates how power-aware policies may reduce the energy consumption of thephysical installation
关键词：IaaS Cloud; Cloud Computing; Resource management; Distributed Processing; virtualization; Map Reduce