Energy-efficient scheduling on milliclusters with performance constraints (bibtex)
@inproceedings{Pinel:6311,
	Abstract = {Today's datacenters and large scale enterprise com-
                      puting are power hungry. A lot of research effort is devoted
                      in industry and academy to address this challenging issue.
                      In this context, a new type of enterprise computing platform
                      is being investigated. This computing platform is composed
                      of hundred of millicomputers, each requiring orders of
                      magnitude less power. However, this approach brings
                      challenges that must be met in order to compete with the
                      current practice. This paper addresses two such critical
                      challenges. First, it suggests how to decompose large
                      applications into smaller tasks, better suited to
                      millicomputers. Then, it casts the performance oriented and
                      energy efficient problem into a soft real-time scheduling
                      problem, for which several algorithms are then proposed and
                      evaluated. Sensitivity analysis is used to provide insights
                      into the model, and plan the evaluation of the scheduling
                      algorithms. The contention found in multi-core
                      millicomputing processors is also accounted for.},
	Author = {Pinel, Frederic and Pecero, Johnatan and Bouvry, Pascal and Khan, Samee U.},
	Booktitle = {Proceedings for the 2011 IEEE/ACM International Conference on Green Computing and Communications (GreenCom 2011)},
	Date-Added = {2012-02-06 22:26:57 +0100},
	Date-Modified = {2012-02-06 22:26:57 +0100},
	Language = {English},
	Pages = {44-49},
	Title = {Energy-efficient scheduling on milliclusters with performance constraints},
	Year = {2011}}
Powered by bibtexbrowser