Energy Efficient Big Data Networks: Impact of Volume and Variety

Al-Salim, AM, Lawey, AQ, El-Gorashi, TEH et al. (1 more author) (2018) Energy Efficient Big Data Networks: Impact of Volume and Variety. IEEE Transactions on Network and Service Management, 15 (1). pp. 458-474. ISSN 1932-4537

Abstract

Metadata

Authors/Creators:
  • Al-Salim, AM
  • Lawey, AQ
  • El-Gorashi, TEH
  • Elmirghani, JMH
Copyright, Publisher and Additional Information: © 2017 IEEE. This is an author produced version of a paper published in IEEE Transactions on Network and Service Management. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Big data volume, big data variety, energy efficient networks, IP over WDM core networks, MILP, processing location optimization, software matching.
Dates:
  • Published: March 2018
  • Accepted: 23 December 2017
  • Published (online): 27 December 2017
Institution: The University of Leeds
Funding Information:
FunderGrant number
EPSRCEP/K503836/1
EPSRCEP/E001696/2
EPSRCEP/H040536/1
EPSRCEP/K016873/1
EPSRCEP/R511717/1
Depositing User: Symplectic Publications
Date Deposited: 02 Jan 2018 16:23
Last Modified: 20 Apr 2018 08:03
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: https://doi.org/10.1109/TNSM.2017.2787624

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