Abstract
Abowd shows a new vision of computer framework - collective computing. In this case, kinds of remote computing devices including people who is regarded as a kind of computing devices connect with each other in a group for completing a complexed work. Therefore, the computing capacity of the various computing devices is fully exploited in different tasks. However, most of the current researches focus on the dedicated system, the heterogeneous tasks and computing devices performance in the infrastructure is not paid enough attentions. This paper presents a collective computing architecture that supports heterogeneous tasks and computing devices, which uses a series of centralized managers for analysing and distributing tasks and controlling heterogeneous computing devices. The whole architecture is layered in order to obtain loads balance, centralized dispatch and low delay communication. This architecture provides a common infrastructure for processing heterogeneous tasks by heterogeneous devices but not for some specialized systems or functions. At last, we implement a prototype system by virtual computers and android phones for proving that the architecture can use heterogeneous devices to perform heterogeneous tasks well.
Y. Li and Y. Zhao—This research was supported by Defense Industrial Technology Development Program under Grant No. JCKY2016605B006, Six talent peaks project in Jiangsu Province under Grant No. XYDXXJS-031.
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Li, Y., Zhao, Y., Zhang, Z., Geng, Q., Wang, R. (2018). A Collective Computing Architecture Supporting Heterogeneous Tasks and Computing Devices. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11063. Springer, Cham. https://doi.org/10.1007/978-3-030-00006-6_2
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