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Performance and Cost-Effectiveness Analyses for Cloud Services Based on Rejected and Impatient Users

机译：基于拒绝和不耐烦用户的云服务性能和成本效益分析

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摘要

Cloud computing is an innovative service platform to offer diverse resources such as infrastructure, platform and software as services. However, one challenging aspect of such a service is the impatient user threat, which directly leads to numerous negative impacts such as poor throughput, unpredictable workload and waste of resources. In this paper, the problems of conducting system controls in a cost-effective way and simultaneously satisfying performance guarantees are first studied. System losses are analyzed according to the related performance factors and waiting buffer sizes. A cost model is developed to address a performances/cost tradeoff issue in which the user balking, reneging, system blocking and resources provisioning are all taken into account. The relationship between system controls and throughput variations in a multi-servers system with a finite buffer is demonstrated. A proposed policy combined with a heuristic algorithm allows cloud providers to control the service rate and buffer size within a system loss guarantee by solving constrained optimization problems. Simulation results show that more cost-saving and system throughput enhancement can be verified as compared to a system without applying our policy.
机译：云计算是一种创新的服务平台，可提供基础设施，平台和软件即服务等多种资源。但是，这种服务的一个挑战性方面是急躁的用户威胁，它直接导致许多负面影响，例如吞吐量差，工作负载不可预测和资源浪费。在本文中，首先研究了以成本有效的方式进行系统控制并同时满足性能保证的问题。根据相关的性能因素和等待缓冲区大小分析系统损耗。开发了一种成本模型来解决性能/成本权衡问题，在该问题中，所有用户都陷入了僵局，无法忍受，系统阻塞和资源调配的情况。演示了在具有有限缓冲区的多服务器系统中，系统控制与吞吐量变化之间的关系。结合启发式算法的拟议策略允许云提供商通过解决约束优化问题来控制系统损耗保证内的服务速率和缓冲区大小。仿真结果表明，与不采用我们的策略的系统相比，可以节省更多成本，并提高系统吞吐量。

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