Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141956
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dc.contributor.authorXiong, Zehuien_US
dc.contributor.authorZhang, Yangen_US
dc.contributor.authorNiyato, Dusiten_US
dc.contributor.authorWang, Pingen_US
dc.contributor.authorHan, Zhuen_US
dc.date.accessioned2020-06-12T04:12:04Z-
dc.date.available2020-06-12T04:12:04Z-
dc.date.issued2018-
dc.identifier.citationXiong, Z., Zhang, Y., Niyato, D., Wang, P., & Han, Z. (2018). When mobile blockchain meets edge computing. IEEE Communications Magazine, 56(8), 33 - 39. doi:10.1109/MCOM.2018.1701095en_US
dc.identifier.issn0163-6804en_US
dc.identifier.urihttps://hdl.handle.net/10356/141956-
dc.description.abstractBlockchain, as the backbone technology of the current popular Bitcoin digital currency, has become a promising decentralized data management framework. Although blockchain has been widely adopted in many applications (e.g., finance, healthcare, and logistics), its application in mobile services is still limited. This is due to the fact that blockchain users need to solve preset proof-of-work puzzles to add new data (i.e., a block) to the blockchain. Solving the proof of work, however, consumes substantial resources in terms of CPU time and energy, which is not suitable for resource-limited mobile devices. To facilitate blockchain applications in future mobile Internet of Things systems, multiple access mobile edge computing appears to be an auspicious solution to solve the proof-of-work puzzles for mobile users. We first introduce a novel concept of edge computing for mobile blockchain. Then we introduce an economic approach for edge computing resource management. Moreover, a prototype of mobile edge computing enabled blockchain systems is presented with experimental results to justify the proposed concept.en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Communications Magazineen_US
dc.rights© 2018 IEEE. All rights reserved.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleWhen mobile blockchain meets edge computingen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.identifier.doi10.1109/MCOM.2018.1701095-
dc.identifier.scopus2-s2.0-85051845783-
dc.identifier.issue8en_US
dc.identifier.volume56en_US
dc.identifier.spage33en_US
dc.identifier.epage39en_US
dc.subject.keywordsEdge Computingen_US
dc.subject.keywordsCloud Computingen_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
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