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 |
|---|---|
| Title of host publication | Mobile and Ubiquitous Systems |
| Subtitle of host publication | Computing, Networking, and Services - 9th International Conference, MobiQuitous 2012, Revised Selected Papers |
| Publisher | Springer Verlag |
| Pages | 37-49 |
| Number of pages | 13 |
| Volume | 120 LNICST |
| ISBN (Print) | 9783642402371 |
| 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 |
|---|---|
| Volume | 120 LNICST |
| ISSN (Print) | 1867-8211 |
Other
| Other | 9th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2012 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 12/12/12 → 12/12/14 |
Fingerprint
Keywords
- Mobile cloud computing
- Multi-thread
- Parallel computing
ASJC Scopus subject areas
- Computer Networks and Communications
Cite this
A collaborative framework of enabling device participation in mobile cloud computing. / Lee, Woonghee; Lee, Suk Kyu; Yoo, Seungho; Kim, Hwangnam.
Mobile and Ubiquitous Systems: Computing, Networking, and Services - 9th International Conference, MobiQuitous 2012, Revised Selected Papers. Vol. 120 LNICST Springer Verlag, 2013. p. 37-49 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 120 LNICST).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A collaborative framework of enabling device participation in mobile cloud computing
AU - Lee, Woonghee
AU - Lee, Suk Kyu
AU - Yoo, Seungho
AU - Kim, Hwangnam
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Mobile cloud computing
KW - Multi-thread
KW - Parallel computing
UR - http://www.scopus.com/inward/record.url?scp=84988260634&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988260634&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84988260634
SN - 9783642402371
VL - 120 LNICST
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 37
EP - 49
BT - Mobile and Ubiquitous Systems
PB - Springer Verlag
ER -