Title :
HMCC: A Hybrid Mobile Cloud Computing Framework Exploiting Heterogeneous Resources
Author :
Abolfazli, Saeid ; Gani, Abdullah ; Min Chen
Author_Institution :
YTL Commun. & Xchanging, Malaysia
fDate :
March 30 2015-April 3 2015
Abstract :
Hybrid Mobile Cloud Computing (HMCC) refers to a Mobile Computation Outsourcing (MCO) model that exploits hybrid granular cloud-based resources composed of coarse-, medium-, and fine-grained resources interconnected by wireless and wired networks to augment mobile devices. Leveraging single type of granules for augmentation (i.e., vertically heterogeneous) has its own deficiencies of low proximity or/and scalability that leads to communication or/and computation latency. Therefore, responsiveness and energy efficiency of cloud-connected Compute-intensive Mobile Applications (CiMA) are degraded. In this paper, we aim to enhance energy-time efficiency of executing CiMA using HMCC. Performance evaluation results show significant gains, 80%-96% round-trip time and 83%-96% energy saving when executing CiMA using HMCC.
Keywords :
cloud computing; energy conservation; mobile computing; performance evaluation; resource allocation; CiMA; HMCC; augment mobile devices; cloud-connected compute-intensive mobile applications; coarse-grained resources; energy saving; fine-grained resources; hybrid granular cloud-based resources; hybrid mobile cloud computing framework; medium-grained resources; mobile computation outsourcing model; performance evaluation; round-trip time; wired networks; wireless networks; Computational modeling; Computer architecture; Mathematical model; Mobile communication; Mobile handsets; Performance evaluation; Scalability; Mobile cloud computing; cloud-based mobile augmentation; heterogeneity;
Conference_Titel :
Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2015 3rd IEEE International Conference on
Conference_Location :
San Francisco, CA
DOI :
10.1109/MobileCloud.2015.28