Enhanced Communal Global, Local Memory Management for Effective Performance of Cluster Computing
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 the authors have extended the 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.