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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Service Provision Control in Federated Service Providing Systems
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Service Provision Control in Federated Service Providing Systems

机译:联合服务提供系统中的服务提供控制

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摘要

Different from traditional P2P systems, individuals nodes of a Federated Service Providing (FSP) system play a more active role by offering a variety of domain-specific services. The service provision control (SPC) problem is an important problem of the FSP system and will be tackled in this paper within a stochastic optimization framework through several steps. The first step focuses on using stochastic differential equations (SDEs) to model and analyze the dynamic evolution of the service demand. Driven by the SDE model, expected future performance of a FSP system is analytically evaluated in the second step. Step three utilizes the differential evolution (DE) algorithm to identify near-optimal service-providing policies for each node. The service subscription protocol is further proposed in step four to help every node adjust its local policy in accordance with the services provided by other nodes. The four steps together implement a complete solution of the SPC problem and will be called the SDE-based service-provision control (SSPC) mechanism in this paper. Experimental evaluation of the mechanism has been reported in the paper. The results show that our approach is effective in tackling the SPC problem and may be therefore suitable for many practical applications.
机译:与传统的P2P系统不同,联合服务提供(FSP)系统的各个节点通过提供各种特定于域的服务来发挥更加积极的作用。服务提供控制(SPC)问题是FSP系统的重要问题,本文将在随机优化框架内通过几个步骤对其进行处理。第一步着重于使用随机微分方程(SDE)对服务需求的动态演变进行建模和分析。在SDE模型的驱动下,第二步将对FSP系统的预期未来性能进行分析评估。第三步利用差分进化(DE)算法为每个节点识别接近最佳的服务提供策略。在步骤四中进一步提出了服务订阅协议,以帮助每个节点根据其他节点提供的服务来调整其本地策略。这四个步骤共同实现了SPC问题的完整解决方案,在本文中将其称为基于SDE的服务供应控制(SSPC)机制。该机制的实验评估已在论文中报道。结果表明,我们的方法可有效解决SPC问题,因此可能适合许多实际应用。

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