Abstract
Cloud Computing attracts much attention in the community of computer science and information technology because of resource efficiency and cost-effectiveness. It is also evolved to Mobile Cloud Computing to serve nomadic people. However, any service in Cloud Computing System inevitably experiences a network delay to access the computing resource or the data from the system, and entrusting the Cloud server with the entire task makes mobile devices idle. In order to mitigate the deterioration of network performance and improve the overall system performance, we propose a collaborative framework that lets the mobile device participate in the computation of Cloud Computing system by dynamically partitioning the workload across the device and the system. The proposed framework is based on it that the computing capability of the current mobile device is significantly enhanced in recent years and its multi-core CPU can employ threads to process the data in parallel. The empirical experimentation presents that it can be a promising approach to use the computing resource of the mobile device for executing computation-intensive tasks in Cloud Computing system.
Original language | English |
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Title of host publication | Mobile and Ubiquitous Systems |
Subtitle of host publication | Computing, Networking, and Services - 9th International Conference, MobiQuitous 2012, Revised Selected Papers |
Editors | Kan Zheng, Mo Li, Hongbo Jiang |
Publisher | Springer Verlag |
Pages | 37-49 |
Number of pages | 13 |
ISBN (Print) | 9783642402371 |
DOIs | |
Publication status | Published - 2013 |
Event | 9th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2012 - Beijing, China Duration: 2012 Dec 12 → 2012 Dec 14 |
Publication series
Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
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Volume | 120 LNICST |
ISSN (Print) | 1867-8211 |
Other
Other | 9th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2012 |
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Country/Territory | China |
City | Beijing |
Period | 12/12/12 → 12/12/14 |
Bibliographical note
Funding Information:Acknowledgement. This research was supported in part by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (MEST) (No. 2010-0014060), and in part by the KCC (Korea Communications Commission) Korea under the R&D program supervised by the KCA (Korea Communications Agency) (KCA-2012-08-911-05-001).
Publisher Copyright:
© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2013.
Keywords
- Mobile cloud computing
- Multi-thread
- Parallel computing
ASJC Scopus subject areas
- Computer Networks and Communications