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Opportunistic Composition of Sequentially-Connected Services in Mobile Computing Environments

机译:移动计算环境中顺序连接服务的机会组合

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Dynamic service composition has emerged as a promising approach to build complex runtime-adaptable applications as it allows for binding service providers only shortly before service execution. However, the dynamic and ad hoc nature of mobile computing environments poses a significant challenge for dynamic service composition. In particular, the lack of central control and the potential volatility of service providers increase the complexity and failure probability of the composition process. Although, current research has led to decentralised composition algorithms and failure recovery strategies, the key question of how to reduce the failure probability of a composition still remains. We address this question and propose opportunistic service composition, an optimised execution model for complex service requests. The model merges the execution phase into the dynamic binding phase and supports the immediate fulfilment of partially composed service requests. We evaluated our model in mobile ad hoc network simulations. The results show an improvement over a baseline approach regarding composition success, response time, and communication effort.
机译:动态服务组合已经成为构建复杂的运行时适应性应用程序的一种有前途的方法,因为它允许在服务执行之前不久就绑定服务提供者。但是,移动计算环境的动态和临时性质对动态服务组合提出了重大挑战。特别地,缺乏中央控制和服务提供商的潜在波动性增加了合成过程的复杂性和失败概率。尽管当前的研究导致分散的合成算法和故障恢复策略,但是如何降低合成失败概率的关键问题仍然存在。我们解决了这个问题,并提出了机会服务组合,这是针对复杂服务请求的优化执行模型。该模型将执行阶段合并到动态绑定阶段,并支持立即完成部分组合的服务请求。我们在移动自组织网络仿真中评估了我们的模型。结果表明,与基线方法相比,该方法在构图成功,响应时间和沟通努力方面均得到了改善。

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