文章基本信息

标题：Resource Optimization Based Scheduling Algorithm in Cloud Environment
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作者：Priyanka Dhurvey ; Nagendra Kumar
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：9878
DOI：10.15680/IJIRCCE.2017.0505279
出版社：S&S Publications
摘要：In the current scenario, Cloud computing carved itself as an emerging technology which enables theorganization to utilize hardware, software and applications without any upfront cost over the internet. The challengebefore the cloud service provider is, how efficiently and effectively the underlying computing resources like virtualmachines, network, storage units, and bandwidth etc. should be managed so that no computing device is in underutilizationor over-utilization state in a dynamic environment. A good task scheduling technique is always required forthe dynamic allocation of the task to avoid such a situation. Through this thesis we are going to present the differenttask scheduling technique, which will distribute the load effectively among the virtual machine so that the overallresponse time (QoS) should be minimal. This thesis explores methods of scheduling in cloud computing. It helps tounderstand the wide task scheduling options in order to select one for a given environment. We have analysed varioustechniques for better utilization of resources and also compared those methods and proposed a new method ofscheduling that helps in reducing the makespan. Finally, concluded with some suggestion as future work.
关键词：Cloud Computing; Makespan; Scheduling algorithms; Task Scheduling.