An Adaptive Push-Pull for Disseminating Dynamic Workload and Virtual Machine Live Migration in Cloud Computing

Abstract

Adapting a dynamic load dissemination system for distributed computing pasture has become a hot spot problem of current research. In the instance of overloaded VM’s or node failure, the associated resources face difficult to determine which VM should be selected for load exchanging and/or how many VM’s should migrate to manage load imbalance. This work, introduces a Hierarchical Adaptive Push-Pull system for disseminating dynamic workload and live migration of VM’s among resources in the Cloud. Adhering to the Adaptive Push-Pull, Cloud Resources frequently pull’s the workload or through VM Managers based on load dynamics. In contrast, status information pertaining to Cloud Resources maintained by the Cloud Resource Managers that possess push capability to push the workload only to those VM’s which are capable enough to receive additional load. These two practices contain balancing possessions through efficient load management complications and simulation result addresses reduced load deviation and scalable resources utilization.