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Extending volunteer computing through mobile ad hoc networking

机译：通过移动临时网络扩展志愿者计算

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摘要

Volunteer computing provides a practical and low cost solution to the increasing computational demands of many applications. Recent advancements in mobile device processing capabilities, combined with the energy efficiency of the mobile devices, make their inclusion in a distributed computing architecture particularly appealing. However, the intrinsic requirement of Internet connectivity to participate in volunteer computing limits the direct adoption of mobile devices due to service availability or related costs to connect to the Internet. In this paper, we propose and implement a novel computational architecture that extends the ability of mobile devices to participate in volunteer computing through ad hoc networking. By introducing decentralized task distribution points, mobile devices are invited to join the computation via device to device communication, removing the requirement for an Internet connection. Using a prototype implementation running on Android devices, we investigate the impact of a promising ad hoc communication technology, namely WiFi Direct, and two task distribution algorithms with different computation and communication overheads, under various scenarios. Experimental results show that our proposed approach is feasible with only minor additional energy consumption at the decentralized task distribution points.
机译：志愿计算为许多应用程序不断增长的计算需求提供了一种实用且低成本的解决方案。移动设备处理能力的最新进步与移动设备的能源效率相结合，使它们包含在分布式计算体系结构中特别有吸引力。但是，由于连接到Internet的服务可用性或相关成本，Internet连接参与志愿者计算的内在要求限制了移动设备的直接采用。在本文中，我们提出并实现了一种新颖的计算体系结构，该体系结构扩展了移动设备通过ad hoc网络参与自愿计算的能力。通过引入分散的任务分配点，邀请移动设备通过设备到设备通信加入计算，从而消除了Internet连接的需求。使用在Android设备上运行的原型实现，我们研究了有前途的即席通信技术（即WiFi Direct）和两种任务分配算法（在各种情况下具有不同的计算和通信开销）的影响。实验结果表明，我们提出的方法是可行的，在分散的任务分配点只有很少的额外能耗。

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