Mobile cloud computing architecture on data management for big data storage
The rapid development of Mobile Cloud Computing (MCC) in this era is very significant, as the number of users accessing data keeps growing with time. Large data storage has to serve high volume transactions of data everyday when users request the data, therefore intelligent methods are required to s...
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| Main Authors: | , |
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| Format: | Article |
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International Center for Scientific Research and Studies
2016
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| Online Access: | http://eprints.utm.my/id/eprint/74125/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010208252&partnerID=40&md5=553c16dd982f823729b83294f66147ee |
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| Summary: | The rapid development of Mobile Cloud Computing (MCC) in this era is very significant, as the number of users accessing data keeps growing with time. Large data storage has to serve high volume transactions of data everyday when users request the data, therefore intelligent methods are required to solve the insufficient data storage experienced by some providers. Hence, a pre-fetching technique and Machine Learning (ML) technique are used to provide cloud data storage management for users to easily access their data anywhere at high speed to avoid latency; the total of response time during user access the data. This paper discusses the use of MCC technology with the pre-fetching technique to overcome the issue of latency in data management when there are large amounts of data being stored in the cloud. The pre-fetching technique is used to optimise the performance of Cloud Computing (CC) when handling data access by users. An enhancement of the MCC architecture is proposed to support data management for the efficient and effective performance of MCC services. |
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