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A Profit-aware Allocation of High Performance Computing Applications on Distributed Cloud Data Centers with Environmental Considerations

Authors:

Hamid Reza Faragardi, Aboozar Rajabi , Thomas Nolte, Amir Hosein Heidarizadeh

Publication Type:

Journal article

Venue:

CSI Journal on Computer Science and Engineering

DOI:

DOI


Abstract

A Set of Geographically Distributed Cloud data centers (SGDC) is a promising platform to run a large number of High Performance Computing Applications (HPCAs) in a cost-efficient manner. Energy consumption is a key factor affect-ing the profit of a cloud provider. In a SGDC, as the data centers are located in different corners of the world, the cost of en-ergy consumption and the amount of CO2 emission significantly vary among the data centers. Therefore, in such systems not only a proper allocation of HPCAs results in CO2 emission reduction, but it also causes a substantial increase of the provid-er's profit. Furthermore, CO2 emission reduction mitigates the destructive environmental impacts. In this paper, the problem of allocation of a set of HPCAs on a SGDC is discussed where a two-level allocation framework is introduced to deal with the problem. The proposed framework is able to reach a good compromise between CO2 emission and the providers' profit subject to satisfy HPCAs deadlines and memory constraints. Simulation results based on a real intensive workload demon-strate that the proposed framework enhances the CO2 emission by 17% and the provider's profit by 9% in average.

Bibtex

@article{Faragardi3724,
author = {Hamid Reza Faragardi and Aboozar Rajabi and Thomas Nolte and Amir Hosein Heidarizadeh},
title = {A Profit-aware Allocation of High Performance Computing Applications on Distributed Cloud Data Centers with Environmental Considerations},
volume = {2},
number = {1},
pages = {10--18},
month = {October},
year = {2014},
journal = {CSI Journal on Computer Science and Engineering},
url = {http://www.es.mdh.se/publications/3724-}
}