JOURNAL ARTICLE

Selecting location-based services in mobile cloud computing

Abstract

Mobile cloud computing (MCC) is the most promising cloud solution for the future mobile environment. It aims to integrate mobile devices with cloud computing, and provide to mobile users an online access to unlimited cloud resources. Furthermore, MCC has changed the concept of mobile devices from primitive gadget to full computers that accommodate work, personal and mobility needs. Thus, in this paper we introduce a middleware that provides an intelligent behavior for selecting and adapting cloud services according to the current user's context. Besides, we propose a context-aware algorithm aiming to exploit location and preference cost of mobile user to select the adequate cloud resource.

Keywords:
Computer science Cloud computing Exploit Mobile cloud computing Mobile computing Mobile device Gadget Context (archaeology) Middleware (distributed applications) Cloud testing Mobile technology Distributed computing Computer network World Wide Web Cloud computing security Computer security Operating system

Metrics

3
Cited By
0.30
FWCI (Field Weighted Citation Impact)
12
Refs
0.68
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications

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