网格资源协同分配的并发g协商机制

B. Shi, K. Sim
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引用次数: 4

摘要

由于计算密集型应用程序通常需要比单个计算机器在一个管理域中所能提供的更多的资源,因此支持资源协同分配对于实现网格远景至关重要。考虑到资源提供者和消费者可能有不同的需求和性能目标,对于消费者来说,通过与多个资源提供者的并发协商来成功获得承诺以同时访问多个资源是一项非常具有挑战性的任务。这项工作的新颖贡献在于设计了一种并发机制,该机制(i)协调消费者和多个资源提供者之间的多个一对多并发协商,以及(ii)在网格共分配中的一对多协商期间管理消费者的(取消)承诺。本文提出了一种以效用为导向的协调策略和三类并行协商承诺策略。结果表明,该策略(承诺策略和协调策略)在效用、协商速度和成功率方面均优于现有模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Concurrent G-Negotiation Mechanism for Grid Resource Co-allocation
Since computationally intensive applications may often require more resources than a single computing machine can provide in one administrative domain, bolstering resource co-allocation is essential for realizing the grid vision. Given that resource providers and consumers may have different requirements and performance goals, successfully obtaining commitments through concurrent negotiations with multiple resource providers to simultaneously access several resources is a very challenging task for consumers. The novel contribution of this work is devising a concurrent mechanism that (i) coordinates multiple one-to-many concurrent negotiations between a consumer and multiple resource providers, and (ii) manages (de-)commitment for consumers during the one-to-many negotiation in grid co-allocation. In this work, a utility-oriented coordination strategy and three classes of commitment strategies for concurrent negotiation are presented. A series of simulations were carried out in a variety of settings and favorable results show that the strategies (both commitment strategies and the coordination strategy) outperformed existing models in terms of utility, negotiation speed, and success rate.
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