期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2016
卷号：7
期号：1
页码：71-75
语种：English
出版社：Ayushmaan Technologies
摘要：Cloud Computing has become means to deploy large scale systems involving tasks prioritizing and processor selection phases in a robust and cost effective manner. The maintenance of large scale systems involves monitoring which allows for the detection of faults, errors and anomalies and the enacting of optimization and corrective measures. Monitoring large scale systems is significant challenge requiring accessing of large volumes of data and near real time analysis. In this paper we propose various software metrics that will allow evaluation of Heterogeneous earliest time first algorithm on the basis of computation and communication cost. We describe in detail the mechanisms which enable HEFT to function effectively and explore the performance of HEFT through a detailed evaluation.
关键词：Cloud Computing;Software Metrics;Heterogeneous Earliest Time First(HEFT);Cloud Models.
