A Distributed and Elastic Application Processing Model for Mobile Cloud Computing |
| |
Authors: | Shiraz Muhammad Gani Abdullah Khokhar Rashid Rahman Azizur Iftikhar Mohsin Chilamkurti Naveen |
| |
Affiliation: | 1.Center for Mobile Cloud Computing Research (C4MCCR), Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia ;2.School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia ;3.Department of Computer Science and IT, School of Engineering and Mathematics, La Trobe University, Melbourne, Australia ; |
| |
Abstract: | The latest developments in mobile computing technology have increased the computing capabilities of smart mobile devices (SMDs). However, SMDs are still constrained by low bandwidth, processing potential, storage capacity, and battery lifetime. To overcome these problems, the rich resources and powerful computational cloud is tapped for enabling intensive applications on SMDs. In Mobile Cloud Computing (MCC), application processing services of computational clouds are leveraged for alleviating resource limitations in SMDs. The particular deficiency of distributed architecture and runtime partitioning of the elastic mobile application are the challenging aspects of current offloading models. To address these issues of traditional models for computational offloading in MCC, this paper proposes a novel distributed and elastic applications processing (DEAP) model for intensive applications in MCC. We present an analytical model to evaluate the proposed DEAP model, and test a prototype application in the real MCC environment to demonstrate the usefulness of DEAP model. Computational offloading using the DEAP model minimizes resources utilization on SMD in the distributed processing of intensive mobile applications. Evaluation indicates a reduction of 74.6% in the overhead of runtime application partitioning and a 66.6% reduction in the CPU utilization for the execution of the application on SMD. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|