Universiti Teknologi Malaysia Institutional Repository

Mobile cloud computing architecture on data management for big data storage

Hussien, Nur Syahela and Sulaiman, Sarina (2016) Mobile cloud computing architecture on data management for big data storage. International Journal of Advances in Soft Computing and its Applications, 8 (2). pp. 139-160. ISSN 2074-8523

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

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.

Item Type:Article
Uncontrolled Keywords:Data management, Data storage, Latency, Machine Learning, Mobile Cloud Computing architecture, Pre-fetching
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Computer Science and Information System (Formerly known)
ID Code:74125
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:28 Nov 2017 13:01
Last Modified:28 Nov 2017 13:01

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