Detailed Information

Cited 8 time in webofscience Cited 6 time in scopus
Metadata Downloads

MRM: mobile resource management scheme on mobile cloud computing

Authors
Yi, GangmanHeo, Yoon-AByun, HwirimJeong, Young-Sik
Issue Date
Aug-2018
Publisher
SPRINGER HEIDELBERG
Keywords
Mobile cloud computing; Mobile resource management; Collaborative architecture; Dynamic scheduling algorithm
Citation
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, v.9, no.4, pp 1245 - 1257
Pages
13
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
Volume
9
Number
4
Start Page
1245
End Page
1257
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/16969
DOI
10.1007/s12652-017-0578-1
ISSN
1868-5137
1868-5145
Abstract
Mobile Resource Management without Cloud Server (MRM) is the computing resource integrated management of mobile devices in order to establish mobile cloud computing infrastructure without a cloud server and to provide computing services in this research. The MRM forms a logical resource pool to integrate physical resources from scattered mobile devices and provides computing services. In other words, the MRM offers static and dynamic performance-based computing services, designed to provide computing services that guarantee availability and expandability through a mobile device resource pool without a cloud server. To this end, the MRM defines static and dynamic metadata to manage mobile devices. Detailed schemes consisting of the MRM configuration, the MRM management, and the MRM operation are established to design and implement the MRM. To integrate the MRM resources and validate the effectiveness of the computing services, the configuration time for resource integration, and the task time, in accordance with simultaneous requests for computing services, is measured, and the availability results for the MRM are demonstrated.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yi, Gang Man photo

Yi, Gang Man
College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
Read more

Altmetrics

Total Views & Downloads

BROWSE