← Back to VOLUME 3, ISSUE 7, JULY 2014
This work is licensed under a Creative Commons Attribution 4.0 International License.
Multiple Correlation Coefficient Approach for VM Migration
SABINA SINGH Assistant Professor, Computer Science Engineering Department, Chandigarh University, Gharuan, Punjab. India
Downloads: Download PDF
π 44 viewsπ₯ 1 download
Abstract: In this research paper we have extended maximum correlation algorithm for detection of overload thresholds so that undue migration does not occur and the fault tolerance mechanism efficiently works. The improved/extended algorithm basically not only conducts correlation analysis but correlation with path analysis. By doing this we are able to find grain level fault tolerance as the overload may take multiple paths while processing multiple workload task. The result shows that by doing correlation with path analysis we are able to reduce host, VM reallocation time and able to avoid undue migration.
Keywords: Cloud computing, VM-migration, correlation, overload detection, path analysis.
Keywords: Cloud computing, VM-migration, correlation, overload detection, path analysis.
How to Cite:
[1] SABINA SINGH Assistant Professor, Computer Science Engineering Department, Chandigarh University, Gharuan, Punjab. India, βMultiple Correlation Coefficient Approach for VM Migration,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
