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A Model of Resource- Aware Load Balancing Scheme using Multi-objective Optimization in Cloud Environment

机译:云环境中基于多目标优化的资源感知负载均衡方案模型

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摘要

Cloud computing is a new class of network based computing that provides the customers with computing resources as a service over a network on their demand. The unique concept of cloud computing creates new opportunities for Business and IT enterprises to achieve their goals. In cloud computing, usually there are number of jobs that need to be executed with the available resources to achieve optimal performance, least possible total time for completion, shortest response time, and efficient utilization of resources etc. To accomplish these goals and achieve high performance, it is important to design and develop a multi objective scheduling algorithm. Hence it is most challenging to schedule the tasks along with satisfying the user’s Quality of Service requirements. This paper proposes a multi- objective scheduling algorithm that considers wide variety of attributes in cloud environment. The paper aims to improve the performance of CPU, memory and network operations by reducing the load of a virtual machine (VM) by using Load Balancing Method. Finally, it optimizes the resource utilization by using Resource Aware Scheduling Algorithm.
机译:云计算是一类新型的基于网络的计算,可根据需要通过网络为客户提供计算资源作为服务。云计算的独特概念为业务和IT企业实现目标提供了新的机会。在云计算中,通常需要使用可用资源来执行一些作业,以实现最佳性能,完成所需的总时间最少,响应时间最短以及资源的有效利用等。以实现这些目标并实现高性能因此,设计和开发多目标调度算法非常重要。因此,安排任务以及满足用户的服务质量要求是最具挑战性的。本文提出了一种考虑云环境中各种属性的多目标调度算法。本文旨在通过使用负载平衡方法减少虚拟机(VM)的负载来提高CPU,内存和网络操作的性能。最后,它使用资源感知调度算法优化了资源利用率。

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