• 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on major mobile OSs (e.g., Android and iOS) and realizes utilization of the computing resources of off-the-shelve outdated or damaged-yet-functioning mobile devices towards green MCC.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