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A QoS-Aware Resource Allocation Controller for Function as a Service (FaaS) Platform

机译:服务即服务(FaaS)平台的QoS感知资源分配控制器

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Function as a Service (FaaS) is a recent event-driven server-less paradigm that allows enterprises to build their applications in a fault tolerant distributed manner. Having been considered as an attractive replacement of traditional Service Oriented Architecture (SOA), the FaaS platform leverages the management of massive data sets or the handling of event streams. However, the realization of such leverage is largely dependent on the effective exploitation of FaaS elasticity /scalability. In this paper, we present a closed-loop resource allocation controller to dynamically scale resources by predicting the future rate of incoming events and by considering the Quality of Service (QoS) enforcements requested by end-users. The performance evaluation is carried out by comparing the proposed controller with some well-known heuristics such as round robin and best-effort strategies. Experimental results confirm that the proposed controller increases the overall resource utilization by 21% on average, while reducing QoS violations by a factor of almost 3.
机译:功能即服务(FaaS)是最近的事件驱动的无服务器范例,允许企业以容错的分布式方式构建其应用程序。 FaaS平台被认为是传统的面向服务的体系结构(SOA)的有吸引力的替代品,它利用了海量数据集的管理或事件流的处理。但是,这种杠杆作用的实现很大程度上取决于FaaS弹性/可伸缩性的有效利用。在本文中,我们提出了一种闭环资源分配控制器,可通过预测未来传入事件的速率并考虑最终用户要求的服务质量(QoS)实施来动态扩展资源。通过将建议的控制器与一些著名的启发式算法(例如循环法和尽力而为策略)进行比较,可以进行性能评估。实验结果证实,提出的控制器平均将整体资源利用率提高了21%,同时将QoS违规率降低了近3倍。

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