Processing geo-dispersed big data in an advanced mapreduce framework
| Author | Zhang, Hongli |
| Author | Zhang, Qiang |
| Author | Zhou, Zhigang |
| Author | Du, Xiaojiang |
| Author | Yu, Wei |
| Author | Guizani, Mohsen |
| Available date | 2022-11-10T09:47:23Z |
| Publication Date | 2015 |
| Publication Name | IEEE Network |
| Resource | Scopus |
| Resource | 2-s2.0-84944044980 |
| 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. 1986-2012 IEEE. |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | Cloud 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 |
| Type | Article |
| Pagination | 24-30 |
| Issue Number | 5 |
| Volume Number | 29 |
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