Towards Human-Centred Crowd Computing: Software for Better Use of Computational Resources

Niroshinie Fernando, Chetan Arora, S. Loke, L. Alam, S. L. Macchia, Helen Graesser
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Abstract

Internet-connected smart devices are increasing at an exponential rate. These powerful devices have created a yet-untapped pool of idle resources that can be utilised, among others, for processing data in resource-depleted environments. The idea of bringing together a pool of smart devices for "crowd computing" (CC) has been studied in the recent past from an infrastructural feasibility perspective. However, for the CC paradigm to be successful, numerous socio-technical and software engineering (SE), specifically the requirements engineering (RE)-related factors are at play and have not been investigated in the literature. In this paper, we motivate the SE-related aspects of CC and the ideas for implementing mobile apps required for CC scenarios. We present the results of a preliminary study on understanding the human aspects, incentives that motivate users, and CC app requirements, and present our future development plan in this relatively new field of research for SE applications.
面向以人为本的群体计算:更好地利用计算资源的软件
联网智能设备正以指数级速度增长。这些功能强大的设备创建了一个尚未开发的空闲资源池,这些资源可以用于在资源耗尽的环境中处理数据。最近,从基础设施可行性的角度研究了将一堆智能设备聚集在一起进行“群体计算”(CC)的想法。然而,为了CC范式的成功,许多社会技术和软件工程(SE),特别是需求工程(RE)相关的因素在起作用,并且没有在文献中进行调查。在本文中,我们激发了CC的se相关方面以及实现CC场景所需的移动应用程序的想法。我们介绍了一项关于理解人的方面、激励用户和CC应用程序需求的初步研究结果,并介绍了我们在这个相对较新的SE应用程序研究领域的未来发展计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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