TY - JOUR
T1 - Bounds on GreenTouch GreenMeter Network Energy Efficiency
AU - Musa, Mohamed O.I.
AU - El-Gorashi, Taisir E.H.
AU - Elmirghani, Jaafar M.H.
N1 - Funding Information:
Manuscript received March 29, 2018; revised July 29, 2018; accepted September 18, 2018. Date of publication September 28, 2018; date of current version November 2, 2018. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC), through INTERNET (EP/H040536/1) and STAR (EP/K016873/1) projects. (Corresponding author: Mohamed O. I. Musa.) The authors are with the School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, U.K. (e-mail:,[email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 1983-2012 IEEE.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - In this paper, we validate the energy efficiency improvements in core networks obtained through mixed integer linear programming (MILP) optimization models as part of the GreenMeter study carried out by the GreenTouch consortium by developing closed form expressions and bounds for the power consumption of core networks. We consider nonbypass, bypass, mixed line rates, and physical topology optimization energy efficiency schemes. In addition to validating the optimization model results by setting bounds on the power consumption, these bounds can predict network performance at operating conditions highly complex for the MILP models. The derivation of a single bound that includes all the measures proved intractable and therefore each measure is evaluated separately.
AB - In this paper, we validate the energy efficiency improvements in core networks obtained through mixed integer linear programming (MILP) optimization models as part of the GreenMeter study carried out by the GreenTouch consortium by developing closed form expressions and bounds for the power consumption of core networks. We consider nonbypass, bypass, mixed line rates, and physical topology optimization energy efficiency schemes. In addition to validating the optimization model results by setting bounds on the power consumption, these bounds can predict network performance at operating conditions highly complex for the MILP models. The derivation of a single bound that includes all the measures proved intractable and therefore each measure is evaluated separately.
KW - Energy Efficiency
KW - GreenMeter
KW - Greentouch
KW - IP/WDM
KW - MILP model
UR - http://www.scopus.com/inward/record.url?scp=85054394380&partnerID=8YFLogxK
U2 - 10.1109/JLT.2018.2871602
DO - 10.1109/JLT.2018.2871602
M3 - Article
AN - SCOPUS:85054394380
SN - 0733-8724
VL - 36
SP - 5395
EP - 5405
JO - Journal of Lightwave Technology
JF - Journal of Lightwave Technology
IS - 23
M1 - 8476165
ER -
