DocumentCode :
267139
Title :
RMCC: Restful Mobile Cloud Computing Framework for Exploiting Adjacent Service-Based Mobile Cloudlets
Author :
Abolfazli, Saeid ; Sanaei, Zohreh ; Gani, Abdullah ; Feng Xia ; Wei-Ming Lin
Author_Institution :
Center for Mobile Cloud Comput. Res., Univ. of Malaya, Kuala Lumpur, Malaysia
fYear :
2014
fDate :
15-18 Dec. 2014
Firstpage :
793
Lastpage :
798
Abstract :
Mobile devices, especially smartphones are increasingly gaining ground in several domains, particularly healthcare, tele-monitoring, and education to perform Resource-intensive Mobile Applications (RiMA). However, constrained resources, especially CPU and battery hinder their successful adoption. Mobile Cloud Computing (MCC) aims to augment computational capabilities of resource-constraint mobile devices and conserve their native resources by remotely performing intensive tasks. In typical MCC solutions, intensive tasks are offloaded to distant VM-based cloud data centers or cloudlets whose exploitation originates long WAN latency and/or virtualization overhead degrading RiMA execution efficiency. In this paper, a lightweight Resource-oriented MCC (RMCC) architecture is proposed that exploits resources of plethora of Adjacent Service-based Mobile Cloudlets (ASMobiC) as fine-grained mobile service providers. In RMCC, ASMobiCs host prefabricated Restful services to be asynchronously called by mobile service consumers at runtime. RMCC is a Restful cross-platform architecture functional on major mobile OSs (e.g., Android and iOS) and realizes utilization of the computing resources of off-the-shelve outdated or damaged-yet-functioning mobile devices towards green MCC. Results of benchmarking advocate significant mean time- and energy-saving of 87% and 71.45%, respectively when intensive tasks are executed in ASMobiCs.
Keywords :
cloud computing; mobile computing; ASMobiC; CPU; RMCC; RMCC architecture; RiMA; VM based cloud data centers; WAN latency; adjacent service based mobile cloudlets; fine grained mobile service providers; lightweight Resource-oriented MCC; mobile cloud computing framework; mobile devices; mobile service consumers; resource constraint mobile devices; resource intensive mobile applications; smartphones; Cloud computing; Context; Mathematical model; Mobile communication; Performance evaluation; Smart phones; Cloud-based Mobile Augmentation; Computing Offloading; Distributed and Parallel Mobile Computing; Mobile Cloud Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CloudCom.2014.91
Filename :
7037763
Link To Document :
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