Applications of Data Grouping for Effective Mobility

We plan to research the problem of reducing a mobile computer's communication requirements and power consumption. Specifically, they will address both issues through improved data and storage management. Based on prior success with automated data grouping and predictive power conservation, research will be conducted into improved data hoarding and disk power management techniques. With effective grouping of data it will be possible to improve the automation of mobile file hoarding, and decrease the effects of network latency and disconnections on the mobile user. In a similar manner, through the grouping and retrieval of related on-disk data, it is possible to improve disk power management beyond the theoretical limits of any previously attempted scheme. This is possible by actively modifying the access sequence to minimize power requirements.