Two-level market solution for services composition optimization in mobile grid

Complete integration of device into grid system can be achieved by enabling mobile devices to contribute services, where mobile devices can be both consumers and providers of services. This paper presents a two-level market solution for services composition optimization in mobile grid. All participants in the mobile grid environment including grid resources, services and users can be represented as agents. We apply economic agents to build mobile grid service management, where mobile grid service consumers and providers can buy and sell grid service based on an economic architecture. Services composition optimization is decomposed into service market level optimization and resource market level optimization. Two-level market converges to its optimal points; a globally optimal point is achieved. The system utility of mobile grid is maximized when the equilibrium prices are obtained through the service market level optimization and resource market level optimization. In the simulation, the performance evaluation of two-level market algorithm for mobile grid is conducted.

[1]  Vinicius C. M. Borges,et al.  SuMMIT An Architecture for Mobile Devices to Coordinate the Execution of Applications in Grid Environments , 2007, 16th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2007).

[2]  Kam-Wing Ng,et al.  Performance Evaluation of Mobile Grid Services , 2008, KES-AMSTA.

[3]  Venkata Durga Kiran Kasula Performance Analysis of Layered Architecture to integrate Mobile Devices and Grid Computing with a Resource Scheduling Algorithm , 2007, International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007).

[4]  George C. Polyzos,et al.  Optimizing Operation of a Hierarchical Campus-wide Mobile Grid for Intermittent Wireless Connectivity , 2007, LANMAN.

[5]  Sungyoung Lee,et al.  Mobile-to-Grid Middleware: Bridging the Gap Between Mobile and Grid Environments , 2005, EGC.

[6]  Sajal K. Das,et al.  A pricing strategy for job allocation in mobile grids using a non-cooperative bargaining theory framework , 2005, J. Parallel Distributed Comput..

[7]  Sajal K. Das,et al.  Mobility-Aware Efficient Job Scheduling in Mobile Grids , 2007, Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07).

[8]  Ranjani Parthasarathi,et al.  Mobile Ad Hoc Grid Using Trace Based Mobility Model , 2007, GPC.

[9]  Rami G. Melhem,et al.  Energy Efficient Configuration for QoS in Reliable Parallel Servers , 2005, EDCC.

[10]  G.C. Polyzos,et al.  Evaluation of scheduling policies in a Mobile Grid architecture , 2008, 2008 International Symposium on Performance Evaluation of Computer and Telecommunication Systems.

[11]  Nalini Venkatasubramanian,et al.  An energy-efficient middleware for supporting multimedia services in mobile grid environments , 2005, International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II.

[12]  D. Turgay Altilar,et al.  IMOGA: An Architecture for Integrating Mobile Devices into Grid Applications , 2007, 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking & Services (MobiQuitous).

[13]  Mario Piattini,et al.  PSecGCM: Process for the Development of Secure Grid Computing based Systems with Mobile Devices , 2008, 2008 Third International Conference on Availability, Reliability and Security.