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Large scale graph processing represents an interesting challenge due to the characteristics of the graph structure. Generally, a distributed graph processing framework is a better choice for large graphs with billions of edges. However, traditional iterative computation models like BSP under-perform due to large communication overheads and slow iterative convergence in a distributed environment. Here,...
Due to high flexibility and cost-effectiveness, cloud computing is increasingly being explored as an alternative to local clusters by academic and commercial users. Recent research already confirmed the feasibility of running tightly-coupled parallel applications with virtual clusters. However, such types of applications suffer from significant performance degradation, especially as the overcommitment...
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