Efficient Virtual Machine management based on dynamic workload in cloud computing environment

Abstract

In recent times cloud computing is transpiring as a new model for hosting and delivering user services through internet media. Cloud computing offers computing resources in the form of Virtual Machines (VMs) on demand and payment are made on the basis of the amount of resources used by user application.These unique feature attracted more number of users to host their requirements on Cloud Provider which has increased number of VM in data centers. This creates an issue of proper management of VM such that resources are efficiently utilized. Efficient utilization of resources has realized VM Consolidation which leads to efficient management of VM on as few hosts as possible, switching idle hosts (physical machines) into a power saving mode. Noteworthy research have been done in the area of efficient VM consolidation to reduce power utilization. VM migration is powerful utility to achieve VM Consolidation. But VM migration involves cost of Bandwidth and Resources between two machines. It leads to tradeoff between energy utilized in migration vs energy utilized during workload. Our solution in this paper describes how to reduce trade off by efficiently migrating VM to proper Machine i.e. number of migration can be reduced. Keywords-Virtual Machine (VM); millions of instruction per second (MIPS); VM management; Energy efficient

Adaptive Harmony Search for Optimizing Constrained Resource Allocation Problem

“…Paper [22] proposed a solution to reduce trade off by efficiently migrating VM to proper machine. Paper [23] presented SDN-based orchestration for live virtual machine management, which is capable of exploiting temporal network information for migrating virtual machines and minimizing the network-wide communication cost.…”

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