Applications of Data Grouping for Effective Mobility

有效流度数据处理的应用。E. Long将研究降低移动的计算机的通信和功率需求的问题。具体而言，本研究将通过改进存储管理来解决这两个问题。在自动数据分组和预测性节能成功的基础上，研究改进的数据存储和磁盘电源管理技术，有效的数据分组将使提高移动的文件存储的自动化成为可能，并减少网络延迟和断开对移动的用户的影响。类似地，通过对相关磁盘数据进行分组和检索，有可能将磁盘电源管理提高到超出任何以前尝试的方案的理论限制。这将通过主动修改访问顺序来最小化电源需求来实现。通过数据访问工作负载的转换，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停机时间。提高移动计算设备的电池寿命对它们的实用性至关重要，而这样的功率效率显然是一个对环境负责的目标。这项研究将建立有效的在线数据分组技术，以增加每次操作访问的数据，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.