• MS.N.MENAGA
• Dr.G.Dalin

Virtual Machine (VM) migration technology is broadly utilized and examined in distributed computing, we have concentrated on area determination (migration strategy) of live VM migration for power sparing and burden adjusting. We propose a novel methodology MOGA-LS, which is a heuristic and self-versatile multi objective streamlining algorithm dependent on the improved genetic algorithm (GA). This paper has exhibited the particular plan and execution of MOGA-LS, for example, the structure of the genetic administrators, wellness esteems, and elitism. We have presented the Pareto predominance hypothesis and the simulated annealing (SA) thought into MOGA-LS and have displayed the particular procedure to get the last arrangement, and along these lines, the entire methodology accomplishes a long haul productive enhancement for power sparing and burden adjusting. The trial results exhibit that MOGA-LS clearly lessens the all out steady control utilization and better ensures the presentation of VM migration and accomplishes the adjusting of framework burden contrasted and the current research. It makes the consequence of live VM migration all the more high-successful and significant.

Virtual Machine, Load Balancing, Migration, Energy, MOGA-LS.

"SCHEDULING OF FILES USING MOGA-LS APPROACH AND VIRTUAL MACHINE MINIMUM MIGRATION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.578-588, June 2019, Available :http://www.jetir.org/papers/JETIR1907H85.pdf

"SCHEDULING OF FILES USING MOGA-LS APPROACH AND VIRTUAL MACHINE MINIMUM MIGRATION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp578-588, June 2019, Available at : http://www.jetir.org/papers/JETIR1907H85.pdf