RARS: a Resource-Aware Replica Selection and co-allocation scheme for mobile grid
International Journal of Ad Hoc and Ubiquitous Computing
A resource-awareness information extraction architecture on mobile grid environment
Journal of Network and Computer Applications
A multi-agent-based model for service-oriented interaction in a mobile grid computing environment
Pervasive and Mobile Computing
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Extracting information or discovering knowledge from wireless or mobile grids is becoming increasingly important issues. Most researches in grid environment only consider data mining time. Other constraints, such as energy consumption and immediate bandwidth that are more important in the mobile computing will physically affect the performance and system availability. In this paper, we propose, based on mobile agent and two resource estimation models, an adaptive knowledge retrieving approach on mobile grid to dynamically determine the place of mining in order to achieve high performance and high availability. Based on these two estimation models, we present a Saving Factor (SF) to determine the place of miming. The result of simulation shows that the approach is efficient and high availability.