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Information 2015, 6(2), 228-245; doi:10.3390/info6020228

CIMS: A Context-Based Intelligent Multimedia System for Ubiquitous Cloud Computing

1
Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 139-743, Korea
2
Department of Interdisciplinary Bio IT Materials, Seoul National University of Science and Technology, Seoul 139-743, Korea
*
Author to whom correspondence should be addressed.
Academic Editors: Young-Sik Jeong and Jianhua Ma
Received: 4 March 2015 / Accepted: 6 May 2015 / Published: 4 June 2015
(This article belongs to the Special Issue Advances in Ubiquitous Computing and Information Science)
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Abstract

Mobile users spend a tremendous amount of time surfing multimedia contents over the Internet to pursue their interests. A resource-constrained smart device demands more intensive computing tasks and lessens the battery life. To address the resource limitations (i.e., memory, lower maintenance cost, easier access, computing tasks) in mobile devices, mobile cloud computing is needed. Several approaches have been proposed to confront the challenges of mobile cloud computing, but difficulties still remain. However, in the coming years, context collecting, processing, and interchanging the results on a heavy network will cause vast computations and reduce the battery life in mobiles. In this paper, we propose a “context-based intelligent multimedia system” (CIMS) for ubiquitous cloud computing. The main goal of this research is to lessen the computing percentage, storage complexities, and battery life for mobile users by using pervasive cloud computing. Moreover, to reduce the computing and storage concerns in mobiles, the cloud server collects several groups of user profiles with similarities by executing K-means clustering on users’ data (context and multimedia contents). The distribution process conveys real-time notifications to smartphone users, according to what is stated in his/her profile. We considered a mobile cloud offloading system, which decides the offloading actions to/from cloud servers. Context-aware decision-making (CAD) customizes the mobile device performance with different specifications such as short response time and lesser energy consumption. The analysis says that our CIMS takes advantage of cost-effective features to produce high-quality information for mobile (or smart device) users in real time. Moreover, our CIMS lessens the computation and storage complexities for mobile users, as well as cloud servers. Simulation analysis suggests that our approach is more efficient than existing domains. View Full-Text
Keywords: context-based intelligent multimedia system; mobile users; ubiquitous cloud computing; K-means clustering; mobile-cloud offloading system; context-aware decision; pervasive cloud computing context-based intelligent multimedia system; mobile users; ubiquitous cloud computing; K-means clustering; mobile-cloud offloading system; context-aware decision; pervasive cloud computing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Sreeramaneni, A.; Im, H.; Kang, W.M.; Koh, C.; Park, J.H. CIMS: A Context-Based Intelligent Multimedia System for Ubiquitous Cloud Computing. Information 2015, 6, 228-245.

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