Adaptive Knowledge Retrieving on Mobile Grid

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.