文章基本信息

标题：An Improved Constraint Based Resource Scheduling Approach Using Job Grouping Strategy in Grid Computing
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作者：Payal Singhal ; Ravinder Singh ; Pinky Rosemarry 等
期刊名称：International Journal of Grid Computing & Applications
印刷版ISSN：2229-3949
电子版ISSN：0976-9404
出版年度：2012
卷号：3
期号：4
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In the last 30 years, many research projects were underway in the field of distributed computing. The main research was focused on developing system that can act like one large computer. Many of the early Grid computing concepts were explored to create such programs in which all the resources can be used together. The research was done in this field and a project was led by Ian Foster of ANL and Carl Kesselman of University of Southern California. The project was called Globus and then a suite of tools were created by the team that laid the foundation for Grid computing activities in the academic and research communities. Then, at the 1997 Super Computing Conference, 80 sites worldwide running software based on the Globus toolkit were connected together. This concept came to be known as Grid Computing[1].