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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20101118T203000Z
DTEND:20101118T210000Z
LOCATION:393
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: The recent emergence of clouds with large, virtualized pools of compute and storage resources raises the possibility of a new compute paradigm for scientific research. With virtualization technologies, consolidation of scientific workflows presents a promising opportunity for energy and resource cost optimization, while achieving high performance. =0A=0AWe have  developed {em pSciMapper}, a  power-aware consolidation framework for scientific workflows. We view consolidation as a hierarchical clustering problem, and  introduce a distance metric that is based on  interference between  resource requirements. A dimensionality reduction method (KCCA) is used to  relate the resource requirements to performance and power consumption. We have evaluated  pSciMapper with both real-world and synthetic scientific workflows,  and  demonstrated  that  it is able to reduce power consumption by up to  56%,  with less than 15% slowdown. Our experiments also show that scheduling overheads of  pSciMapper  are low, and it can scale well for  workflows with  hundreds of tasks.
SUMMARY:Power-Aware Consolidation of Scientific Workflows in Virtualized Environments
PRIORITY:3
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