Load management using virtual machine migration

نویسندگان

  • SANDEEP JOSHI
  • PRADEEP KUMAR TIWARI
چکیده

Load balance mechanism does the vital role in high performance computing (HPC) and energy efficient computing (EEC). An effective load balance mechanism achieves high performance resource management. Several load management platform (e.g. Openstack, Nebula and Eucaluptus) available to simulate/perform status of algorithm. Load balance manager should be able to customize the resource management and also able to find objectives (e.g. high speed performance, flexibility during migration and energy aware resource allocation. Load balance mainly belongs to three categories (a) Cluster (b) Grid (c) Cloud computing. Proper load distributions among the all VMs are necessary to achieve objectives of load balance. Proposed paper focused on thrashing mechanism to manage the resources during live migration in different VMs. Paper also focused on different aspect of trashing resource management policy to manage resources in effective way and time. Our algorithm will be effective to classify between high loaded machine and under loaded machine by using trash value of VM.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Analytical evaluation of an innovative decision-making algorithm for VM live migration

In order to achieve the virtual machines live migration, the two "pre-copy" and "post-copy" strategies are presented. Each of these strategies, depending on the operating conditions of the machine, may perform better than the other. In this article, a new algorithm is presented that automatically decides how the virtual machine live migration takes place. In this approach, the virtual machine m...

متن کامل

Framework of Resource Management using Server Consolidation to Minimize Live Migration and Load Balancing

Live Migration is one of the essential operations that require more attention to addressing its high variability problems with virtual machines. We review the existing techniques of resource management to find that there are less modeling to solve this problem. The present paper introduces a novel framework that mainly targets to achieve a computational effective resource management technique. ...

متن کامل

Stochastic Load Balancing for Virtual Resource Management in Datacenters

Cloud computing offers a cost-effective and elastic computing paradigm that facilitates large scale data storage and analytics. By deploying virtualization technologies in the datacenter, cloud enables efficient resource management and isolation for various big data applications. Since the hotspots (i.e., overloaded machines) can degrade the performance of these applications, virtual machine mi...

متن کامل

Virtual Machine Migration in Cloud Computing

Cloud computing is the delivers the computing services over the internet. Cloud services help individuals and organization to use data that are managed by third parties or another person at remote locations. Virtual Machine (VM) is an emulation of a particular computer system. In cloud computing, Virtual machine migration is a useful tool for migrating Operating System instances across multiple...

متن کامل

A Genetic Based Resource Management Algorithm Considering Energy Efficiency in Cloud Computing Systems

Cloud computing is a result of the continuing progress made in the areas of hardware, technologies related to the Internet, distributed computing and automated management. The Increasing demand has led to an increase in services resulting in the establishment of large-scale computing and data centers, in addition to high operating costs and huge amounts of electrical power consumption. Insuffic...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015