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A peak load control-based orchestration system for stable execution of hybrid services

机译:基于峰值负载控制的编排系统,用于稳定执行混合服务

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The prosperity of Internet results in a workflow executing engine's performance instability due to the request congestion for a short period of time. This paper proposes a peak load control (PLC) based orchestration system that can stably execute hybrid services. The PLC mechanism uses the delay time algorithm for controlling a BPEL engine's heavy peak load caused by the request congestion for a short period of time. In order to prove the stable performance of the PLC-based orchestration system, we analyze the proposed delay time algorithm. According to our experimental results, the proposed delay time algorithm can stably execute structured activities of WSBPEL specification in heavily overloaded state after the saturation phase and has an effect on controlling the states of peak load. In this paper, we also describe a hybrid service architecture model that can represent both Web Services and existing EAs as same type of services.
机译:Internet的繁荣导致工作流由于短时间内的请求拥塞而导致引擎的性能不稳定。本文提出了一种基于峰值负载控制(PLC)的编排系统,该系统可以稳定地执行混合服务。 PLC机制使用延迟时间算法来控制BPEL引擎在短时间内由于请求拥塞而导致的繁重峰值负载。为了证明基于PLC的编排系统的稳定性能,我们分析了所提出的延迟时间算法。根据我们的实验结果,提出的延迟时间算法可以在饱和阶段之后在重载状态下稳定地执行WSBPEL规范的结构化活动,并且对控制峰值负载的状态具有影响。在本文中,我们还描述了一种混合服务体系结构模型,该模型可以将Web服务和现有EA表示为同一类型的服务。

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