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AuthorZhang, Hongli
AuthorZhang, Qiang
AuthorZhou, Zhigang
AuthorDu, Xiaojiang
AuthorYu, Wei
AuthorGuizani, Mohsen
Available date2022-11-10T09:47:23Z
Publication Date2015
Publication NameIEEE Network
ResourceScopus
Resource2-s2.0-84944044980
URIhttp://dx.doi.org/10.1109/MNET.2015.7293301
URIhttp://hdl.handle.net/10576/36142
AbstractBig data has emerged as a new era of information generation and processing. Big data applications are expected to provide a lot of benefits and convenience to our lives. Cloud computing is a popular infrastructure that has the resources for big data processing. As the number of mobile devices is fast increasing, mobile cloud computing is becoming an important part of many big data applications. In this article, we propose a novel MapReduce-based framework to process geo-dispersed big data in mobile cloud architecture. The proposed framework supports simple as well as complex operations on geo-dispersed big data, and uses various data aggregation schemes to satisfy different application requirements. 1986-2012 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCloud computing
Data handling
Mobile cloud computing
Mobile devices
Application requirements
Big data applications
Complex operations
Data aggregation
Information generation
Map-reduce
Mapreduce frameworks
Mobile clouds
Big data
TitleProcessing geo-dispersed big data in an advanced mapreduce framework
TypeArticle
Pagination24-30
Issue Number5
Volume Number29
dc.accessType Abstract Only


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