TY - GEN
T1 - Resource provisioning for cloud PON AWGR-based data center architecture
AU - Hammadi, Ali
AU - Musa, Mohamad
AU - El-Gorashi, Taisir E.H.
AU - Elmirghani, Jaafarm H.
N1 - Funding Information:
acknowledge funding from the Engineering and Physical Sciences Research Council (EPSRC), INTERNET (EP/H040536/1) and STAR (EP/K016873/1).
Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/7
Y1 - 2016/7/7
N2 - Recent years have witnessed an ever-increasing growth for cloud computing services and applications housed by data centers. PON based optical interconnects for data center networks is a promising technology to offer high bandwidth, efficient utilization of resources, reduced latency and reduced energy consumption compared to current data center networks based on electronic switches. This paper presents our proposed scheme for data center interconnection to manage intra/inter communication traffic based on readily available low cost and power PON components. In this work, we tackle the problem of resource provisioning optimization for cloud applications in our proposed PON data centers architecture. We use Mixed Integer Linear Programming (MILP) to optimize the power consumption and delay for different cloud applications. The results show that delay can be decreased by 62% for delay-sensitive applications and power consumption can be decreased by 22% for non-delay sensitive applications.
AB - Recent years have witnessed an ever-increasing growth for cloud computing services and applications housed by data centers. PON based optical interconnects for data center networks is a promising technology to offer high bandwidth, efficient utilization of resources, reduced latency and reduced energy consumption compared to current data center networks based on electronic switches. This paper presents our proposed scheme for data center interconnection to manage intra/inter communication traffic based on readily available low cost and power PON components. In this work, we tackle the problem of resource provisioning optimization for cloud applications in our proposed PON data centers architecture. We use Mixed Integer Linear Programming (MILP) to optimize the power consumption and delay for different cloud applications. The results show that delay can be decreased by 62% for delay-sensitive applications and power consumption can be decreased by 22% for non-delay sensitive applications.
KW - arrayed waveguide grating routers (AWGRs)
KW - data center
KW - energy efficiency
KW - Passive Optical Network (PON)
KW - resource provisioning
UR - http://www.scopus.com/inward/record.url?scp=84981187672&partnerID=8YFLogxK
UR - http://noc2016.iscte-iul.pt/
U2 - 10.1109/NOC.2016.7507009
DO - 10.1109/NOC.2016.7507009
M3 - Conference contribution
AN - SCOPUS:84981187672
T3 - 2016 21st European Conference on Networks and Optical Communications, NOC 2016
SP - 178
EP - 182
BT - 2016 21st European Conference on Networks and Optical Communications, NOC 2016
PB - IEEE, Institute of Electrical and Electronics Engineers
T2 - 21st European Conference on Networks and Optical Communications, NOC 2016
Y2 - 1 June 2016 through 3 June 2016
ER -
