Energy-efficient Load-balanced Heterogeneous Mobile Cloud
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Authors
Chen, Chien-An
Stoleru, Radu
Xie, Geoffrey G.
Subjects
Advisors
Date of Issue
2017
Date
2017
Publisher
IEEE
Language
Abstract
Today's integration of mobile technologies and traditional cloud computing exploits the abundant computation and storage resources in the cloud, to enhance the capabilities of end-user mobile devices. The designs that rely on remote cloud services, however, sometimes overlook the abundant resources (e.g., storage, communication, and computation) on mobile devices. In particular, when the remote cloud services are unavailable (due to service downtime or network issues), these smart devices can no longer function. We propose a Heterogeneous Mobile Cloud (HMC) computing design that efficiently utilizes the communication and computation resources to support data storage and data processing services in a group of mobile devices. Each mobile device may have different energy, communication and computation capabilities, but our Mobile Storage & Processing System (MSPS) ensures that: i) the communication and computation tasks are executed in an energy-efficient manner, ii) task allocation considers device heterogeneity and achieves system-wide load balancing, and iii) the stored data are fault-tolerant. Through extensive simulations and real hardware implementations on Android devices, we demonstrate the performance and feasibility of deploying MSPS in a real heterogeneous mobile environment.
Type
Article
Description
Published in: 2017 26th International Conference on Computer Communication and Networks (ICCCN)
The article of record as published may be found at http://dx.doi.org/10.1109/ICCCN.2017.8038422
The article of record as published may be found at http://dx.doi.org/10.1109/ICCCN.2017.8038422
Series/Report No
Department
Computer Science (CS)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
9 P.
Citation
Chen, Chien-An, Radu Stoleru, and Geoffery G. Xie. "Energy-Efficient Load-Balanced Heterogeneous Mobile Cloud." Computer Communication and Networks (ICCCN), 2017 26th International Conference on. IEEE, 2017.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.