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Cooperative Evolution of Services in Ubiquitous Computing Environments

机译:普适计算环境中服务的协作演化

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As the number and capabilities of mobile devices is rapidly increasing, new challenges arise in the way services are currently designed. Users are seeking for more complex and advanced functionalities able to satisfy their increasing requirements. As a consequence, in ubiquitous environments, a different way to design services has to be introduced in order to guarantee services always up to date in a transparent and efficient way. In this paper, we present and analyze a framework for distributed cooperative service evolution in a wireless nomadic environment. In particular, we assume a disconnected network architecture, where users' mobility is exploited to achieve a scalable behavior, and communication is based on localized peer-to-peer interactions among neighboring nodes. Service management is achieved by introducing autonomic services, whose operations are based on a distributed evolution process, which draws tools and concepts from evolutionary computation (and genetic algorithms in particular). The latter relies on the concept of recombination, i.e., the exchange of information among service users, which collaborate to enhance their fitness, denned as the ability of the actual service to fulfill user's requirements. We introduce a general framework for analyzing service recombination policies and exploit results from martingales theory to study their convergence properties.
机译:随着移动设备的数量和功能迅速增加,当前设计服务的方式出现了新的挑战。用户正在寻求能够满足其不断增长的需求的更复杂和高级的功能。结果,在无处不在的环境中,必须采用不同的服务设计方式,以确保服务始终以透明有效的方式更新。在本文中,我们介绍并分析了无线游牧环境中的分布式协作服务演进框架。特别是,我们假设网络结构是断开的,其中利用了用户的移动性来实现可伸缩的行为,并且通信基于相邻节点之间的本地对等交互。通过引入自主服务来实现服务管理,自主服务的操作基于分布式进化过程,该过程从进化计算(尤其是遗传算法)中汲取工具和概念。后者依赖于重组的概念,即服务用户之间的信息交换,其协作以增强其适应性,这被定义为实际服务满足用户需求的能力。我们介绍了一种用于分析服务重组策略的通用框架,并利用mar理论的结果来研究其融合特性。

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