A Simply Energy-efficient Migration Algorithm of Processes with Virtual Machines in Server Clusters
نویسندگان
چکیده
Virtual services on computation resources like CPUs and storages are supported to applications by using virtual machines in server clusters. Virtual machines with application processes can migrate from host servers to guest servers. In this paper, we discuss a process migration approach to reducing total electric energy consumption of servers by taking advantage of virtual machines in a cluster. We newly propose a Simple Globally-Energy-Aware Migration (SGEAM) algorithm. Here, a host server is first found to perform a process issued by an application in a cluster and then the process is performed on a virtual machine. Next, a virtual machine migrates from a host server to another guest server in order to reduce the electric energy consumption of servers. Here, the amount of computation to be performed by current processes on a virtual machine is simply estimated only by using the number of the current processes and then the total electric energy to be consumed by each server is estimated. Then, a guest server where a virtual machine migrates from a host server is selected so that the total electric energy to be consumed by not only the host server and guest server but also the other servers can be reduced. We show the total electric energy consumption of servers can be reduced in the SGEAM algorithm compared with other non-migration and migration algorithms in the evaluation.
منابع مشابه
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 کاملAnalytical 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 کاملEfficient Migration –A Leading Solution for Server Consolidation
Server consolidation of virtual machines is very much essential in a cloud environment for energy conservation and cost cutting . Consolidation can be achieved through live migration of virtual machines. We propose a modified bin packing algorithm for Server Consolidation that avoids unnecessary migrations and minimizes the instantiation of new physical servers. We implement ideas from the Firs...
متن کاملA Near Optimal Approach in Choosing The Appropriate Physical Machines for Live Virtual Machines Migration in Cloud Computing
Migration of Virtual Machine (VM) is a critical challenge in cloud computing. The process to move VMs or applications from one Physical Machine (PM) to another is known as VM migration. In VM migration several issues should be considered. One of the major issues in VM migration problem is selecting an appropriate PM as a destination for a migrating VM. To face this issue, several approaches are...
متن کاملImpact of server dynamic allocation on the response time for energy-efficient virtualized web clusters
Virtualization has been widely adopted in data centers around the world for improving resource usage efficiency; particularly helping to make these computing environments more energy-efficient. Server virtualization allows for on-demand allocation (using either migration or replication) of virtual machines (VMs), which run the web applications and services, to physical servers. In this paper, w...
متن کاملذخیره 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 ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- JoWUA
دوره 8 شماره
صفحات -
تاریخ انتشار 2017