RMCC: A RESTful mobile cloud computing framework for exploiting adjacent service-based mobile cloudlets

Abolfazli, S. and Sanaei, Z. and Gani, Abdullah and Xia, F. and Lin, Wei-Ming (2014) RMCC: A RESTful mobile cloud computing framework for exploiting adjacent service-based mobile cloudlets. In: 6th Internation Conference on Cloud Computing Technology and Science (IEEE CloudCom'14), 15-18 Dec 2014, Singapore. (Submitted)

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Mobile devices, especially smartphones are increasingly gaining ground in several domains, particularly healthcare, telemonitoring, 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 datacenters 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on major mobile OSs (e.g., Android and iOS) and realizes utilization of the computing resources of off-the-shelve outdated or damaged-yet-functioning mobile devices towards green MCC.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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Mobile CLoud Computing, computation offloading, Cloudlet, mobile augmentation, battery, energy efficiency
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology > Department of Computer System & Technology
Depositing User: Mr Saeid abolfazli
Date Deposited: 28 Nov 2014 08:37
Last Modified: 11 Oct 2018 04:21
URI: http://eprints.um.edu.my/id/eprint/11349

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