基于配对服务代理和全球工作负载管理的全球云市场中面向服务的联邦智能云联盟

S. Sathyanarayanan, Reynald Susainathan Reni Sagayaraj
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引用次数: 1

摘要

联邦云计算促进可扩展的按需服务,通过提高云上的可靠性来确保业务连续性。这种环境需要云市场中高效的全局工作负载管理以及服务提供者和消费者之间的适当映射。这就需要高效的面向服务的体系结构,并使用企业服务总线(ESB)提供丰富的服务抽象。服务代理是ESB的主要实体之一,实现了匹配生成算法。GWM专注于通过负载共享策略提高全球市场QoS的可扩展配置。为了实现这一特性,云协调器实现了一种高效的分布式算法,该算法在工作负载爆发时结合了基于矢量时钟的互斥。本文介绍了联邦智能云的愿景、挑战和架构要素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Federated Intelligent Cloud Service-Oriented Federation in Global Cloud Market with Match-Making Service Broker and Global Workload Management
Federated Cloud Computing facilitates scalable on-demand service, ensuring business continuity through improved reliability on the cloud. This environment demands efficient Global Workload Management in the cloud market and appropriate mapping between service providers and consumers. This necessitates an efficient Service-Oriented Architecture, with an Enterprise Service Bus (ESB) providing a rich service abstraction. Service Broker, one of the main entities of ESB the implements Match-Making Algorithm. GWM focuses on scalable provisioning through Load-sharing policy improving QoS of global market. To realize this feature, the cloud coordinator implements an efficient distributed algorithm that incorporates vector clock based mutual exclusion on workload bursting. This paper presents vision, challenges and architectural elements of the Federated Intelligent Cloud.
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