期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：6
页码：209-215
出版社：International Journal of Computer Science and Network Security
摘要：Memory management becomes a prerequisite when handling applications that require immense volume of data in Cluster Computing. For example when executing data pertaining to satellite images for remote sensing or defense purposes, scientific or engineering applications. Here even if the other factors perform to the maximum possible levels and if memory management is not properly handled the performance will have a proportional degradation. Hence it is critical to have a fine memory management technique deployed to handle the stated scenarios. To overwhelm the stated problem we have extended our previous work with a new technique that manages the data in Global Memory and Local Memory and enhances the performance of communicating across clusters for data access. The issue of the Global Memory and Local Memory Management is solved with the approach discussed in this paper. Experimental results show performance improvement to considerable levels with the implementation of the concept, specifically when the cost of data access from other clusters is higher and is proportionate to the amount of data.
关键词：High Performance Cluster Computing, Job Scheduling, Global Memory Management, Local Memory Management
