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Scalable service discovery in ubiquitous and pervasive computing architectures: A percolation-driven approach

机译:普适计算架构中的可扩展服务发现:一种基于渗流驱动的方法

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摘要

The diffusion of ubiquitous and pervasive computing applications, providing advanced services anytime and everywhere across heterogeneous mobile networks, is fostering the development of new architectures and models, based on the emerging peer-to-peer paradigm, to allow the effective use of multiple replicated resources and services without the scalability and adaptiveness limitations characterizing traditional client-server organizations. In this scenario, effective service discovery facilities are needed to minimize the administrative overhead and increase the overall usability and perceived service quality. However, most of the currently available implementations lack efficiency due to the highly dynamic and hierarchically flat nature of the underlying wireless mobile networking environment, that make any traditional solution based on centralized schemes and statically defined roles practically unfeasible. Accordingly we proposed a novel service discovery approach based on a fully distributed and parallel search model, that does not require any centralized intelligence, fixed roles and stable communication infrastructure. It exploits, in a dynamic scale-free scenario characterized by competition for links and balanced node insertion and removal rates, a widely known random walk-based search paradigm benefitting from bond percolation in power law organizations to automatically limit the search space (by shielding low connectivity nodes from search traffic) and drastically reduce the total control overhead. We analyzed the effectiveness and performance of the proposed solution by using discrete event-driven simulation, whose results were satisfactory also in highly mobile ad-hoc environments. This indicates that the proposed ideas are promising and deserve further exploitation by practical application solutions designers.
机译:在异构移动网络上随时随地提供高级服务的无处不在的无处不在的计算应用程序的扩散,正在促进基于新兴的对等范例的新架构和模型的开发,以允许有效地使用多个复制资源和服务,而没有传统客户端-服务器组织所具有的可伸缩性和适应性限制。在这种情况下,需要有效的服务发现工具以最小化管理开销并增加总体可用性和感知的服务质量。但是,由于底层无线移动网络环境的高度动态和层次结构平坦的特性,目前大多数可用的实现方式均缺乏效率,这使得基于集中式方案和静态定义的角色的任何传统解决方案实际上都不可行。因此,我们提出了一种基于完全分布式和并行搜索模型的新颖服务发现方法,该方法不需要任何集中式智能,固定角色和稳定的通信基础结构。在以竞争竞争链路和平衡节点插入和删除速率为特征的动态无标度场景中,它利用了广为人知的基于随机游动的搜索范例,该范例受益于幂律组织中的键渗透,从而自动限制了搜索空间(通过屏蔽低连接节点的搜索流量),并大大减少了总控制开销。我们通过使用离散事件驱动的仿真分析了所提出解决方案的有效性和性能,在高度移动的自组织环境中,其结果也令人满意。这表明所提出的想法是有希望的,并应由实际的应用程序解决方案设计师进一步开发。

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