2024-03-29T12:57:11Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/4019
2022-03-24T23:16:11Z
1582963302567:1597824273898
user-ucsy
Improving Processing Time of Big Data Analytic on Mobile Cloud Computing
Win, Ngu Wah
The growth of big data is a result of the varietyof data through user generated data from manydevices. Today, big data analytics, extracting dataknowledge from large datasets, is shifted from personaldesktop computer to mobile devices because of itsanywhere-anytime access facilities. Nevertheless,mobile devices still have many resources limitations.Mobile cloud computing is a best solution for theseproblems, because it can support infinite computingpower for mobile devices. This paper proposes a newbig data analytic platform on mobile cloud computingwith efficient processing time. In proposed platform,RESTful web service technology and MapReduceTransformation Model are applied to produce highquery processing performance with seamlessconnectivity. To reduce the communication costbetween web service and mobile device, we use JSONformat output result. According to the results, weconclude that the communication cost of proposedplatform is better than traditional way.
2015-02-05
http://hdl.handle.net/20.500.12678/0000004019
https://meral.edu.mm/records/4019