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Geographic-Based Service Request Scheduling Model for Mobile Cloud Computing

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4 Author(s)
Tianyi Xing ; Sch. of Comput. Inf. & Decision Syst. Eng., Arizona State Univ., Tempe, AZ, USA ; Hongbin Liang ; Dijiang Huang ; Cai, L.X.

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.

Published in:

Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on

Date of Conference:

25-27 June 2012

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