Notice Board: Call for Paper Vol. 8 Issue 10      Submission Start Date: September 30, 2021      Acceptence Notification Start: October 12, 2021      Submission End: October 18, 2021      Final MenuScript Due: October 22, 2021      Publication Date: October 31, 2021






Volume 4 Issue 6

Author Name
Priyanka Soni , Saurabh Mandloi
Year Of Publication
2017
Volume and Issue
Volume 4 Issue 6
Abstract
Load balancing is core part of public cloud computing. The process of load balancing increases the performance of cloud based services. Cloud based service provide hardware, software and platform as service. For the balancing of public cloud used two types of approach one is traditional approach and other is swarm based approach. The swarm based approach used particle of swarm optimization, ant colony optimization and glowworm swarm algorithm. for the balancing of load also used different policy such as busy and idle condition such technique is called cloud partion based load balancing technique. The load can be CPU load, memory capacity, delay or network load. Load balancing is the process of distributing the load among various nodes of a distributed system to improve both resource utilization and job response time while also avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work. Load balancing ensures that all the process
PaperID
2017/04/IJMERT/6/241



Notice Board :

Call for Paper
Vol. 8 Issue 10

Submission Start Date:
September 30, 2021

Acceptence Notification Start:
October 12, 2021

Submission End:
October 18, 2021

Final MenuScript Due:
October 22, 2021

Publication Date:
October 31, 2021