Models and heuristics for robust resource allocation in parallel and distributed computing systems

Models and heuristics for robust resource allocation in parallel and distributed computing systems Janovy, David Leon ; Smith, Jay ; Siegel, Howard Jay ; Maciejewski, Anthony A. "This research was supported by NSF under grant No. CNS-0615170 and by the Colorado State University George T. Abell Endowment." 5 p. This is an overview of the robust resource allocation research efforts that have been and continue to be conducted by the CSU Robustness in Computer Systems Group. Parallel and distributed computing systems, consisting of a (usually heterogeneous) set of machines and networks, frequently operate in environments where delivered performance degrades due to unpredictable circumstances. Such unpredictability can be the result of sudden machine failures, increases in system load, or errors caused by inaccurate initial estimation. The research into developing models and heuristics for parallel and distributed computing systems that create robust resource allocations is presented. Colorado State University. Libraries 2007 text ; image application/pdf ECEaam00127.pdf FACFECEN100127ARTI eng c2007 IEEE

Models and heuristics for robust resource allocation in parallel and distributed computing systems

Janovy, David Leon ; Smith, Jay ; Siegel, Howard Jay ; Maciejewski, Anthony A.

"This research was supported by NSF under grant No. CNS-0615170 and by the Colorado State University George T. Abell Endowment."

5 p.

This is an overview of the robust resource allocation research efforts that have been and continue to be conducted by the CSU Robustness in Computer Systems Group. Parallel and distributed computing systems, consisting of a (usually heterogeneous) set of machines and networks, frequently operate in environments where delivered performance degrades due to unpredictable circumstances. Such unpredictability can be the result of sudden machine failures, increases in system load, or errors caused by inaccurate initial estimation. The research into developing models and heuristics for parallel and distributed computing systems that create robust resource allocations is presented.

Colorado State University. Libraries

2007

text ; image

application/pdf

ECEaam00127.pdf

FACFECEN100127ARTI

eng

c2007 IEEE