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Optimal RP Based Dynamic Load Balancing in Amazon EC2 Environment

机译:基于RP的Amazon EC2环境中的动态负载平衡

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—One of the objective of cloud computing is to provide Resources as a Services to the client, in which resources are retrieved from cloud service provider efficiently and effectively over the Internet. To manage effectively the available resources of the cloud provider, resources use load balancing techniques to which has certain issues like load estimation, remote node selection, system stability, fault tolerance, performance indices, reduce cost of ownership, load level comparison, SLA violation etc. Accuracy can be implemented in form of efficient load balancing techniques. Dominant to this issue, it is necessary to develop optimal and efficient load balancing algorithms for various type of load, i.e. network load, CPU load, and Memory intensive applications. It also helps to avoiding a situation where some nodes are over loaded while others are idle or doing little work. The research carried out in this paper , the purpose of this research to improve response time by modeling behaviors of i) Progressive queue of node & ii) Request priority queue , which positively impact on optimization of resources as well as cost.
机译:- 云计算的目的是为客户提供资源作为客户的服务,其中从互联网上有效且有效地从云服务提供商中检索资源。要管理有效地管理云提供商的可用资源,资源使用负载平衡技术,拥有负载估计,远程节点选择,系统稳定性,容错,性能指标,降低所有权成本,负载级别比较,SLA违规等问题。精度可以以高效的负载平衡技术形式实现。占主导地位,有必要为各种类型的负载开发最佳和高效的负载平衡算法,即网络负载,CPU负载和内存密集型应用。它还有助于避免某些节点超过装载的情况,而其他节点则闲置或做好工作。本文进行了研究,本文的目的是通过建模I)逐行队列的逐步队列来改善响应时间的目的,该节点&II)请求优先队列的要求优先队列,这对资源的优化以及成本产生了积极影响。

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