Multiple Virtual Machines Resource Scheduling for Cloud Computing
نویسندگان
چکیده
Cloud computing emerges as a new computing paradigm concerned by both academia and industry. Resource management of multiple virtual machines is the core of Infrastructure as a Service. Focusing on the CPU resources, the purpose of this paper is to increase the QoS of web service by properly scheduling the CPU resource across the virtual machines. We formulate the CPU scheduling of multiple virtual machines into an integer programming problem. Then, a global regulation algorithm based on utility optimization theory is proposed. Experimental result s show that the regulation system of CPUs can significantly improve the performance of Web
منابع مشابه
GASA: Presentation of an Initiative Method Based on Genetic Algorithm for Task Scheduling in the Cloud Environment
The need for calculating actions has been emerged everywhere and in any time, by advancing of information technology. Cloud computing is the latest response to such needs. Prominent popularity has recently been created for Cloud computing systems. Increasing cloud efficiency is an important subject of consideration. Heterogeneity and diversity among different resources and requests of users in ...
متن کاملGASA: Presentation of an Initiative Method Based on Genetic Algorithm for Task Scheduling in the Cloud Environment
The need for calculating actions has been emerged everywhere and in any time, by advancing of information technology. Cloud computing is the latest response to such needs. Prominent popularity has recently been created for Cloud computing systems. Increasing cloud efficiency is an important subject of consideration. Heterogeneity and diversity among different resources and requests of users in ...
متن کاملIntegrated modeling and solving the resource allocation problem and task scheduling in the cloud computing environment
Cloud computing is considered to be a new service provider technology for users and businesses. However, the cloud environment is facing a number of challenges. Resource allocation in a way that is optimum for users and cloud providers is difficult because of lack of data sharing between them. On the other hand, job scheduling is a basic issue and at the same time a big challenge in reaching hi...
متن کاملTask Scheduling Algorithm Using Covariance Matrix Adaptation Evolution Strategy (CMA-ES) in Cloud Computing
The cloud computing is considered as a computational model which provides the uses requests with resources upon any demand and needs.The need for planning the scheduling of the user's jobs has emerged as an important challenge in the field of cloud computing. It is mainly due to several reasons, including ever-increasing advancements of information technology and an increase of applications and...
متن کاملA 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 کاملTASA: A New Task Scheduling Algorithm in Cloud Computing
Cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. It merges a lot of physical resources and offers them to users as services according to service level agreement. Therefore, resource management alongside with task scheduling has direct influence on cloud networks’ performance and efficiency. Presenting a proper scheduling ...
متن کامل