Distributed Scheduling Algorithm for Highly Available Component Based Applications

M. Frîncu
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引用次数: 1

Abstract

The emergence of multi-clouds makes it difficult for application providers to offer reliable applications to end users. The different levels of infrastructure reliability offered by various cloud providers need to be abstracted at application level through application-aware algorithms for high availability. This task is challenging due to the closed world approach taken by the various cloud providers. In the face of different access and management policies orchestrated distributed management algorithms are needed instead of centralized solutions. In this paper we present a decentralized autonomic algorithm for achieving application high availability by harnessing the properties of scalable component-based applications and the advantage of overlay networks to communicate between peers. In a multi-cloud environment the algorithm maintains cloud provider independence while achieving global application availability. The algorithm was tested on a simulator and results show that it gives similar results to a centralized approach without inducing much communication overhead.
基于高可用组件应用的分布式调度算法
多云的出现使得应用程序提供商很难向最终用户提供可靠的应用程序。各种云提供商提供的不同级别的基础设施可靠性需要通过应用程序感知算法在应用程序级别进行抽象,以实现高可用性。由于各种云提供商采用的封闭世界方法,这项任务具有挑战性。面对不同的访问和管理策略,需要编排分布式管理算法而不是集中式解决方案。在本文中,我们提出了一种分散的自治算法,通过利用可扩展的基于组件的应用程序的特性和覆盖网络在对等体之间通信的优势来实现应用程序的高可用性。在多云环境中,该算法在实现全局应用程序可用性的同时保持云提供商的独立性。该算法在模拟器上进行了测试,结果表明,该算法在不增加通信开销的情况下获得了与集中式方法相似的结果。
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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