Implementation and performance of Munin
SOSP '91 Proceedings of the thirteenth ACM symposium on Operating systems principles
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Reducing System Overheads in Home-based Software DSMs
IPPS '99/SPDP '99 Proceedings of the 13th International Symposium on Parallel Processing and the 10th Symposium on Parallel and Distributed Processing
Teamster: A Transparent Distributed Shared Memory for Cluster Symmetric Multiprocessors
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
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From cluster computing to Grid computing, current computation technologies have focused more on collaboration, data sharing, cycle stealing modes of interaction among dynamic and geographically distributed organizations. During the literature survey of the doctoral research the focus was on two computing paradigms: Grid computing and Distributed Shared Memory. There has been extensive research in individual implementations of both DSM and Grids but very few combined implementations. Hence in this paper there is focus on implementing and testing SMIG (Shared Memory Integrated with Grid) a model which integrates both paradigms. The paper discusses the design principles and architecture of SMIG, followed by explanation of the installation and execution process. Next the graphs are plotted and results are analyzed for SMIG execution for various applications like Matrix multiplication, Merge sort and Bucket sort. Based on the analysis it was inferred that SMIG model is feasible, can exploit existing underutilized resources and assist in resource optimization or carrying out high end computations. In future it is proposed to execute the same applications in a JUMP DSM environment and compare it with SMIG results.