TY - GEN
T1 - Effective VM Placement Mechanism in Cloud Computing using Cuckoo Search Optimization
AU - Mangalampalli, Sudheer
AU - Pokkuluri, Kiran Sree
AU - Satish, G. Naga
AU - Swain, Sangram Keshari
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Effective VM placement mechanism is needed for Cloud Computing as incoming flow of tasks were dynamic when they are coming onto cloud console. Incoming requests for any cloud console were large in number then there is a chance of decay in quality of service. Quality of service will be degraded when these number of requests were not properly handled i.e. SLA violations and more number of migrations. Quality of Service will be directly affected by these parameters. Many of the authors addressed these metrics but still there is a chance to improve the VM placement in cloud computing. In this paper, we have used a nature inspired algorithm i.e. cuckoo search to design the VM placement strategy and we have used a threshold value to identify the physical host whet her it is overloaded, under loaded or balanced based on the utilization of CPU. Cloudsim toolkit is used as a simulator to conduct simulation and our proposed mechanism minimizes violation of SLA and there is a great improvement in makespan when it was compared with PSO and GA algorithms.
AB - Effective VM placement mechanism is needed for Cloud Computing as incoming flow of tasks were dynamic when they are coming onto cloud console. Incoming requests for any cloud console were large in number then there is a chance of decay in quality of service. Quality of service will be degraded when these number of requests were not properly handled i.e. SLA violations and more number of migrations. Quality of Service will be directly affected by these parameters. Many of the authors addressed these metrics but still there is a chance to improve the VM placement in cloud computing. In this paper, we have used a nature inspired algorithm i.e. cuckoo search to design the VM placement strategy and we have used a threshold value to identify the physical host whet her it is overloaded, under loaded or balanced based on the utilization of CPU. Cloudsim toolkit is used as a simulator to conduct simulation and our proposed mechanism minimizes violation of SLA and there is a great improvement in makespan when it was compared with PSO and GA algorithms.
UR - https://www.scopus.com/pages/publications/85133415227
UR - https://www.scopus.com/pages/publications/85133415227#tab=citedBy
U2 - 10.1109/IC3P52835.2022.00057
DO - 10.1109/IC3P52835.2022.00057
M3 - Conference contribution
AN - SCOPUS:85133415227
T3 - Proceedings - 2022 International Conference on Computing, Communication and Power Technology, IC3P 2022
SP - 238
EP - 241
BT - Proceedings - 2022 International Conference on Computing, Communication and Power Technology, IC3P 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Computing, Communication and Power Technology, IC3P 2022
Y2 - 7 January 2022 through 8 January 2022
ER -