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An Efficient Distributed Dynamic Load Balancing Algorithm for Private Cloud Environment

机译:私有云环境中的高效分布式动态负载均衡算法

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In recent years cloud computing is one of the emerging research area that encompasses virtualization, networking, storage, software and on-demand web services. Clients, distributed servers and datacenters are the fundamental components of cloud infrastructure. The number of users in cloud computing is growing in an exponential rate at every day. Large number of user requests tries to allocate the resources for many applications which lead to high load on cloud server. To reducing the heavy load on server, the virtual machines are allocated for resources based on priority. In this paper the distributed dynamic priority based algorithm is used for balancing the load on instances effectively and to improve the system consistency, minimum response time and increase the throughput. Allocating the resources on virtual machines based on priority achieves the better response time and processing time. Load balancing ensures all instances in a node in the networks do the equal amount of work at any instant of time. Priority based resource provision to improve the utilization of resources and reducing response time of cloud services.
机译:近年来,云计算是新兴的研究领域之一,涵盖虚拟化,网络,存储,软件和按需Web服务。客户端,分布式服务器和数据中心是云基础架构的基本组成部分。云计算中的用户数量每天都在以指数级的速度增长。大量的用户请求尝试为许多应用程序分配资源,这导致云服务器上的高负载。为了减少服务器上的繁重负载,将根据优先级为资源分配虚拟机。在本文中,基于分布式动态优先级的算法用于有效地平衡实例上的负载,并提高系统一致性,最小化响应时间并提高吞吐量。根据优先级在虚拟机上分配资源可获得更好的响应时间和处理时间。负载平衡可确保网络中节点中的所有实例在任何时刻都执行相同数量的工作。基于优先级的资源提供,可提高资源利用率并减少云服务的响应时间。

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