期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2017
卷号：43
期号：1
页码：20-23
DOI：10.14445/22312803/IJCTT-V43P105
出版社：Seventh Sense Research Group
摘要：Grid computing is an ever demanding technology for the effective and fast completion of very computeintensive applications like space and research problems and it also promises some economic benefits such as utilizing spare resources in other time zones that are in a period of reduced business activity[1]. Much of the Grid computing vision yet remains to be fully implemented, except with relatively specialized applications, and in certain types of environments, such as research and education organizations, or leadingedge financial services companies.[4] One of the barriers to the adoption of Grid computing is the relative complexity of customizing and adapting workloads to make them suitable for hosting on a Grid. Job scheduling software, which automates the assignment of workloads to hosts based on the priority of a job, is relatively mature, but it has traditionally been used to manage resources at the level of individual applications [21]. In order to ensure proper execution of an application that is submitted to a Grid, it is necessary to provide the application with the software environment that it needs to execute. Scheduling algorithms plays an important role in this dynamic execution of jobs[3].
