DocumentCode :
3607808
Title :
Processing geo-dispersed big data in an advanced mapreduce framework
Author :
Hongli Zhang ; Qiang Zhang ; Zhigang Zhou ; Xiaojiang Du ; Wei Yu ; Guizani, Mohsen
Volume :
29
Issue :
5
fYear :
2015
Firstpage :
24
Lastpage :
30
Abstract :
Big 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.
Keywords :
Big Data; cloud computing; mobile computing; parallel processing; software architecture; Big Data processing; MapReduce framework; mobile cloud architecture; mobile cloud computing; Big data; Cloud computing; Data mining; Information processing; Mobile communication; Mobile handsets; Time factors;
fLanguage :
English
Journal_Title :
Network, IEEE
Publisher :
ieee
ISSN :
0890-8044
Type :
jour
DOI :
10.1109/MNET.2015.7293301
Filename :
7293301
Link To Document :
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