TY - GEN
T1 - On economic mobile cloud computing model
AU - Liang, Hongbin
AU - Huang, Dijiang
AU - Peng, Daiyuan
N1 - Funding Information:
Acknowledgement. Hongbin Liang’s research is supported by the China Scholarship Council and Dijiang Huang’s research is supported by the Office of Naval Research’s Young Investigator Program.
Funding Information:
Hongbin Liang?s research is supported by the China Scholarship Council and Dijiang Huang?s research is supported by the Office of Naval Research?s Young Investigator Program.
Publisher Copyright:
© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2012.
PY - 2012
Y1 - 2012
N2 - Cloud has become a promising service model for mobile devices. Using cloud services, mobile devices can outsource its computationally intensive operations to the cloud, such as searching, data mining, and multimedia processing. In this service computing model, how to build an economic service provisioning scheme is critical for mobile cloud service providers. Particularly when the mobile cloud resource is restricted. In this paper, we present an economic mobile cloud computing model using Semi-Markov Decision Process for mobile cloud resource allocation. Our model takes the considerations the cloud computing capacity, the overall cloud system gain, and expenses of mobile users using cloud services. Based on the best of our knowledge, our presented model is the first to address the economic service provisioning for mobile cloud services. In the performance evaluation, we showed that the presented economic mobile cloud computing model can produce the optimal system gain with a given cloud service inter-domain transfer probability.
AB - Cloud has become a promising service model for mobile devices. Using cloud services, mobile devices can outsource its computationally intensive operations to the cloud, such as searching, data mining, and multimedia processing. In this service computing model, how to build an economic service provisioning scheme is critical for mobile cloud service providers. Particularly when the mobile cloud resource is restricted. In this paper, we present an economic mobile cloud computing model using Semi-Markov Decision Process for mobile cloud resource allocation. Our model takes the considerations the cloud computing capacity, the overall cloud system gain, and expenses of mobile users using cloud services. Based on the best of our knowledge, our presented model is the first to address the economic service provisioning for mobile cloud services. In the performance evaluation, we showed that the presented economic mobile cloud computing model can produce the optimal system gain with a given cloud service inter-domain transfer probability.
KW - Mobile cloud computing
KW - Semi-Markov decision process
UR - http://www.scopus.com/inward/record.url?scp=85001629324&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85001629324&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-29336-8_22
DO - 10.1007/978-3-642-29336-8_22
M3 - Conference contribution
AN - SCOPUS:85001629324
SN - 9783642293351
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 329
EP - 341
BT - Mobile Computing, Applications, and Services - 2nd International ICST Conference, MobiCASE 2010, Revised Selected Papers
A2 - Griss, Martin
A2 - Yang, Guang
PB - Springer Verlag
T2 - 2nd International Conference on Mobile Computing, Applications, and Services, MobiCASE 2010
Y2 - 25 October 2010 through 28 October 2010
ER -