Enhancement of Xen's Scheduler for MapReduce Workloads

As the trends move towards data outsourcing and cloud computing, the efficiency of distributed data centers increases in importance. Cloud-based services such as Amazon's EC2 rely on Virtual Machines (VMs) to host MapReduce clusters for large data processing. However, current VM scheduling does not provide adequate support for MapReduce workloads, resulting in degraded overall performance. For example, when multiple MapReduce clusters run on a single physical machine, the existing VMM scheduler does not guarantee fairness across clusters.

Provided by: Association for Computing Machinery Topic: Virtualization Date Added: Jun 2011 Format: PDF

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