Hosseini, M., Angelopoulos, C.M., Chai, W. K. and Kundig, S., 2019. Crowdcloud: A Crowdsourced System for Cloud Infrastructure. Cluster Computing, 22 (2), 455-470.
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DOI: 10.1007/s10586-018-2843-2
Abstract
The widespread adoption of truly portable, smart devices and Do-It-Yourself computing platforms by the general public has enabled the rise of new network and system paradigms. This abundance of wellconnected, well-equipped, affordable devices, when combined with crowdsourcing methods, enables the development of systems with the aid of the crowd. In this work, we introduce the paradigm of Crowdsourced Systems, systems whose constituent infrastructure, or a significant part of it, is pooled from the general public by following crowdsourcing methodologies. We discuss the particular distinctive characteristics they carry and also provide their “canonical” architecture. We exemplify the paradigm by also introducing Crowdcloud, a crowdsourced cloud infrastructure where crowd members can act both as cloud service providers and cloud service clients. We discuss its characteristic properties and also provide its functional architecture. The concepts introduced in this work underpin recent advances in the areas of mobile edge/fog computing and co-designed/cocreated systems.
Item Type: | Article |
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ISSN: | 1386-785 |
Uncontrolled Keywords: | Crowdsourcing; Crowdsourced system;s Cloud service;s Crowdcloud; Mobile edge computing |
Group: | Faculty of Science & Technology |
ID Code: | 31100 |
Deposited By: | Symplectic RT2 |
Deposited On: | 06 Aug 2018 09:20 |
Last Modified: | 14 Mar 2022 14:12 |
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