Stochastic-based robust dynamic resource allocation for independent tasks in a heterogeneous computing system

Mohsen Amini Salehi; Jay Smith; Anthony A. Maciejewski; Howard Jay Siegel; Edwin K. P. Chong; Jonathan Apodaca; Luis Diego Briceño; Timothy Renner; Vladimir Shestak; Joshua Ladd; Andrew M. Sutton; David Janovy; Sudha Govindasamy; Amin Alqudah; Rinku Dewri; Puneet Prakash

doi:10.1016/j.jpdc.2016.06.008

JOURNAL ARTICLE

Stochastic-based robust dynamic resource allocation for independent tasks in a heterogeneous computing system

Mohsen Amini Salehi Jay Smith Anthony A. Maciejewski Howard Jay Siegel Edwin K. P. Chong Jonathan Apodaca Luis Diego Briceño Timothy Renner Vladimir Shestak Joshua Ladd Andrew M. Sutton David Janovy Sudha Govindasamy Amin Alqudah Rinku Dewri Puneet Prakash

Year: 2016 Journal: Journal of Parallel and Distributed Computing Vol: 97 Pages: 96-111 Publisher: Elsevier BV

DOI: 10.1016/j.jpdc.2016.06.008

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Keywords:

Computer science Robustness (evolution) Distributed computing Task (project management) Stochastic modelling Stochastic process Resource allocation Mathematical optimization

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Distributed and Parallel Computing Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

Parallel Computing and Optimization Techniques

Physical Sciences → Computer Science → Hardware and Architecture

Stochastic-based robust dynamic resource allocation for independent tasks in a heterogeneous computing system

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