TY - GEN
T1 - Fuzzy logic based energy aware VM consolidation
AU - Monil, Mohammad Alaul Haque
AU - Rahman, Rashedur M.
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Global need of computing is growing day by day and as a result cloud based services are getting more prominent for its pay-as-you-go modality. However, cloud based datacenters consume considerable amount of energy which draws negative attention. To sustain the growth of cloud computing, energy consumption is now a major concern for cloud based datacenters. To overcome this problem, cloud computing algorithm should be efficient enough to keep energy consumption low and at the same time provide desired QoS. Virtual machine consolidation is one such technique to ensure energy-QoS balance. In this research, we explored Fuzzy logic and heuristic based virtual machine consolidation approach to achieve energy-QoS balance. Fuzzy VM selection method has been proposed to select VM from an overloaded host. Additionally, we incorporated migration control in Fuzzy VM selection method. We have used CloudSim toolkit to simulate our experiment and evaluate the performance of the proposed algorithm on real-world work load traces of PlanetLab VMs. Simulation results demonstrate that the proposed method provides best performance in all performance metrics while consuming least energy.
AB - Global need of computing is growing day by day and as a result cloud based services are getting more prominent for its pay-as-you-go modality. However, cloud based datacenters consume considerable amount of energy which draws negative attention. To sustain the growth of cloud computing, energy consumption is now a major concern for cloud based datacenters. To overcome this problem, cloud computing algorithm should be efficient enough to keep energy consumption low and at the same time provide desired QoS. Virtual machine consolidation is one such technique to ensure energy-QoS balance. In this research, we explored Fuzzy logic and heuristic based virtual machine consolidation approach to achieve energy-QoS balance. Fuzzy VM selection method has been proposed to select VM from an overloaded host. Additionally, we incorporated migration control in Fuzzy VM selection method. We have used CloudSim toolkit to simulate our experiment and evaluate the performance of the proposed algorithm on real-world work load traces of PlanetLab VMs. Simulation results demonstrate that the proposed method provides best performance in all performance metrics while consuming least energy.
UR - http://www.scopus.com/inward/record.url?scp=84945583982&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-23237-9_4
DO - 10.1007/978-3-319-23237-9_4
M3 - Conference contribution
AN - SCOPUS:84945583982
SN - 9783319232362
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 31
EP - 38
BT - Internet and Distributed Computing Systems - 8th International Conference, IDCS 2015, Proceedings
A2 - Di Fatta, Giuseppe
A2 - Pathan, Mukaddim
A2 - Fortino, Giancarlo
A2 - Guerrieri, Antonio
A2 - Stahl, Frederic
A2 - Li, Wenfeng
PB - Springer Verlag
T2 - 8th International Conference on Internet and Distributed Computing Systems, IDCS 2015
Y2 - 2 September 2015 through 4 September 2015
ER -
