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Minimum-Delay Service Provisioning in Opportunistic Networks

机译:机会网络中的最小延迟服务供应

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Opportunistic networks are created dynamically by exploiting contacts between pairs of mobile devices that come within communication range. While forwarding in opportunistic networking has been explored, investigations into asynchronous service provisioning on top of opportunistic networks are unique contributions of this paper. Mobile devices are typically heterogeneous, possess disparate physical resources, and can provide a variety of services. During opportunistic contacts, the pairing peers can cooperatively provide (avail of) their (other peer's) services. This service provisioning paradigm is a key feature of the emerging opportunistic computing paradigm. We develop an analytical model to study the behaviors of service seeking nodes (seekers) and service providing nodes (providers) that spawn and execute service requests, respectively. The model considers the case in which seekers can spawn parallel executions on multiple providers for any given request, and determines: 1) the delays at different stages of service provisioning; and 2) the optimal number of parallel executions that minimizes the expected execution time. The analytical model is validated through simulations, and exploited to investigate the performance of service provisioning over a wide range of parameters.
机译:通过利用通信范围内的成对移动设备之间的联系来动态创建机会网络。虽然已经探索了机会网络中的转发,但是对机会网络之上的异步服务供应的研究是本文的独特贡献。移动设备通常是异构的,拥有完全不同的物理资源,并且可以提供各种服务。在机会性联系期间,配对对等方可以协作提供(利用)他们(其他对等方)的服务。该服务供应范例是新兴的机会计算范例的关键功能。我们开发了一个分析模型来研究分别生成和执行服务请求的服务寻找节点(寻找者)和服务提供节点(提供者)的行为。该模型考虑了寻找者可以针对任何给定请求在多个提供者上生成并行执行的情况,并确定:1)服务提供不同阶段的延迟; 2)最佳并行执行次数,可最大程度地减少预期执行时间。该分析模型通过仿真进行了验证,并用于调查各种参数下服务供应的性能。

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