Attempting to design differed service broker forwarding strategy for data centres in cloud environment

Q3 Business, Management and Accounting
S. Prabu, S. Karthik
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引用次数: 0

Abstract

The cloud computing is based on broadcasted computing resources for controlling diverse services like a server, storage and applications. The applications and models are offered in terms of pay per usage using the data centre to the users. The data centres are positioned globally and moreover, these data centres could be overloaded with the escalated number of client applications that are being serviced at the identical time and position which corrupts the comprehensive quality of service of the relayed services. Diverse user applications might need diverse customisation and demands calibrating the performance of the user applications at differed resources are quite intricate. The service supplier is incapable of performing choices for the suitable set of resources. The design of differed service broker forwarding strategies is based on heuristics intended to accomplish minimal reply time based on the transmission medium, bandwidth, latencies and task size. The designed service broker strategy attempts in minimising the overloads of the data centres by conveying the user demand to the subsequent data centres that acquire improved reply and operational time. The analysis reveals potential outcomes in terms of reply and operational time as estimated to the other exiting broker strategies.
尝试为云环境下的数据中心设计不同的服务代理转发策略
云计算基于广播计算资源,用于控制服务器、存储和应用程序等各种服务。应用程序和模型以使用数据中心的每次付费的方式提供给用户。数据中心分布在全球,此外,这些数据中心可能会因在同一时间和位置提供服务的客户端应用程序数量增加而超载,从而破坏中继服务的综合服务质量。不同的用户应用程序可能需要不同的定制和需求,在不同的资源上校准用户应用程序的性能是非常复杂的。服务提供者无法为合适的资源集执行选择。不同服务代理转发策略的设计基于启发式方法,旨在根据传输介质、带宽、延迟和任务大小实现最小的应答时间。所设计的服务代理策略试图通过将用户需求传递给后续数据中心来最小化数据中心的过载,从而获得改进的回复和操作时间。该分析揭示了根据其他退出代理策略估计的回复和操作时间方面的潜在结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Enterprise Network Management
International Journal of Enterprise Network Management Business, Management and Accounting-Management of Technology and Innovation
CiteScore
0.90
自引率
0.00%
发文量
28
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