TY - GEN
T1 - Geographic-based service request scheduling model for mobile cloud computing
AU - Xing, Tianyi
AU - Liang, Hongbin
AU - Huang, Dijiang
AU - Cai, Lin X.
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - With Internet environment is getting optimized and users preferring mobile communications, Cloud Service Providers (CSP) aim to provide services to users depending on their geographic locations with higher service availability and faster access speed. Mobile cloud computing falls into this category, where mobile users can move around and request cloud services at any given geographic locations. To build such a geographic-based mobile cloud services, an effective mobile cloud resource allocation and service request scheduling scheme is highly desired. To this end, the presented service request scheduling scheme takes a comprehensive approach by considering system parameters from both CSP and mobile users such as computation, energy, connectivity, service payment, mobile users' satisfaction, etc. Finally, the performance evaluation of the proposed scheduling scheme is evaluated through simulations where the results show that the presented scheme achieves better system overall gain compared to traditional over-provisioning approaches.
AB - With Internet environment is getting optimized and users preferring mobile communications, Cloud Service Providers (CSP) aim to provide services to users depending on their geographic locations with higher service availability and faster access speed. Mobile cloud computing falls into this category, where mobile users can move around and request cloud services at any given geographic locations. To build such a geographic-based mobile cloud services, an effective mobile cloud resource allocation and service request scheduling scheme is highly desired. To this end, the presented service request scheduling scheme takes a comprehensive approach by considering system parameters from both CSP and mobile users such as computation, energy, connectivity, service payment, mobile users' satisfaction, etc. Finally, the performance evaluation of the proposed scheduling scheme is evaluated through simulations where the results show that the presented scheme achieves better system overall gain compared to traditional over-provisioning approaches.
UR - http://www.scopus.com/inward/record.url?scp=84868121634&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868121634&partnerID=8YFLogxK
U2 - 10.1109/TrustCom.2012.6
DO - 10.1109/TrustCom.2012.6
M3 - Conference contribution
AN - SCOPUS:84868121634
SN - 9780769547459
T3 - Proc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012
SP - 1446
EP - 1453
BT - Proc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012
T2 - 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012
Y2 - 25 June 2012 through 27 June 2012
ER -