Applications of Data Grouping for Effective Mobility

数据分组在有效移动中的应用减少移动计算机的通信和电源需求的问题将被研究。具体来说，本研究将通过改进存储管理来解决这两个问题。基于自动化数据分组和预测节能方面的成功，将对改进的数据存储和磁盘电源管理技术进行研究。有效的数据分组将有可能提高移动文件存储的自动化，并减少网络延迟和断开对移动用户的影响。类似地，通过对相关磁盘数据进行分组和检索，可以改进磁盘电源管理，超出任何先前尝试的方案的理论限制。这将通过主动修改访问顺序来实现，以最小化功率需求。通过转换数据访问工作负载，这种新颖的方法重塑了磁盘空闲时间，从而有效地增加了磁盘的闲置时间。提高移动计算设备的电池寿命对它们的实用性至关重要，而这样的电力效率显然是一个对环境负责的目标。本研究将建立在线数据分组技术的有效性，以增加每次操作访问的数据量，同时减少磁盘操作的总数。

Applications of Data Grouping for Effective MobilityDarrell D. E. LongThe problem of reducing a mobile computer's communication and powerrequirements will be investigated. Specifically, this research will addressboth issues through improved storage management. Based on successes withautomated data grouping and predictive power conservation, research will beconducted into improved data hoarding and disk power management techniques.Effective grouping of data will make it possible to improve the automationof mobile file hoarding, and decrease the effects of network latency anddisconnections on the mobile user. Similarly, through the grouping andretrieval of related on-disk data, it is possible to improve disk powermanagement beyond the theoretical limits of any previously attempted scheme.This will be done by actively modifying the access sequence to minimizepower requirements. Through transformation of data access workloads, thisnovel approach reshapes disk idle times to effectively increase the amountof time a disk can be spun down. Improving the battery life of mobilecomputing devices is critical to their usefulness, and such power efficiencyis clearly an environmentally responsible goal. This research will establishthe effectiveness of on-line data grouping techniques to increase the amountof data accessed per operation, while simultaneously reducing the totalnumber of disk operations.