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Virtualization technology and MapReduce program model are sharp swords for the big data and cloud computing era. The combination of them exhibits powerful ability of easy-management, fast-deployment, feasible-scalability and high-efficiency. However, the downside is that the performance is limited by the I/O bottleneck of Virtual Machine(VM). A huge number of data should be handled in MapReduce cluster...
Multi-core virtualization platform is an essential basement of modern computing environment including server consolidation and cloud computing. However hidden contention for physical resources between different workloads always causes serious performance interference and thus reduces system performance and efficiency. In order to address this issue, we exploit the possibility of scheduling virtual...
In virtualized HPC system such as virtual cluster and science cloud, CPU-intensive jobs are always companied by high-intensive I/O operations since different computing nodes perform periodic inter-VM communication to transfer data or synchronize computing result. Since traditional VMM schedulers cannot handle the scheduling scenario with mixed workloads efficiently, inter-VM communication always suffers...
Safety-critical systems have to work correctly and meet time constraints even in the presence of faults. Hardware fault-tolerant technology can provide a high level of reliability, but custom-designed hardware and operating system are too costly to be accepted by most common applications. At present, some research works about hot-spare fault-tolerant systems based on virtualization technology have...
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