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Scheduling time-critical requests for multiple data objects in on-demand broadcast

机译:在按需广播中安排对多个数据对象的时间紧迫的请求

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On-demand broadcast is an effective data dissemination approach in mobile computing environments. Most of the recent studies on on-demand data broadcast assume that clients request only a single-data-object at a time. This assumption may not be practical for the increasingly sophisticated mobile applications. In this paper, we investigate the scheduling problem of time-critical requests for multiple data objects in on-demand broadcast environments and observe that existing scheduling algorithms designed for single-data-object requests perform unsatisfactorily in this new setting. Based on our analysis, we propose new algorithms to improve the system performance.
机译:在移动计算环境中,按需广播是一种有效的数据分发方法。最近有关按需数据广播的大多数研究都假定客户一次只请求一个数据对象。对于日益复杂的移动应用程序,此假设可能不切实际。在本文中,我们研究了按需广播环境中对多个数据对象的时间紧迫的请求的调度问题,并观察到为单个数据对象的请求而设计的现有调度算法在这种新设置下的性能不能令人满意。根据我们的分析,我们提出了新的算法来提高系统性能。

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