Performance Evaluation of Statistical Techniques for Adaptive Scheduling in Autonomic Systems

The introduction of virtualization technology to grid and cloud computing infrastructures has enabled applications to be decoupled from the underlying hardware providing the benefits of portability, better control over execution environment and isolation. The virtualization layer also incurs a performance penalty, which can be significant for High Performance Computing (HPC) applications with high work volumes. Virtualization thus brings new requirements for dynamic adaptation of the scheduling to realize the potential flexibility of faster re-tasking and reconfiguration of workloads.

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