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With the ever increasing demand on interactive data analytics, latency for big data frameworks becomes more important. We present our preliminary experience designing and implementing NetSpark, an improved Spark [1] framework that is highly optimized for network latency. Combining optimizations on data serialization, network buffer management with hardware-supported Remote Direct Memory Access (RDMA)...
The popularity of the modeling and simulation application increases the demand for acquiring the service of the simulation resource and capability (R/C) anytime, anywhere, on demand through the network. Cloud simulation draws the idea of cloud computing that integrates and shares the R/Cs to provide services which significantly depending on the R/Cs' management. Most existing work assumes that there...
Virtualized resource allocation for multi-tier web applications in cloud environment brings new challenges to cloud infrastructure providers. In order to meet the constraint of SLA and allocate the available virtualized resources optimally, this paper proposes a resource allocation algorithm for infrastructure providers who want to minimize infrastructure cost and SLA violations. Our proposed algorithm...
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