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Combining optimal performance with cost-efficiency in adaptive wireless broadcast-based systems

机译:在基于自适应无线广播的系统中将最佳性能与成本效益相结合

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Research on push-based systems has introduced several outstanding theoretical analyses and algorithms, aiming to optimize the clients' mean waiting time under several conditions. However, the computational and memory requirements aspect has been neglected to a great extend, thusly undermining the primary advantage of push systems over pull-based ones, i.e. their minimal cost. In this paper influential and top performing, well-known algorithms are evaluated from a cost aspect. It is shown that radical improvements are required for them to be realizable. Moreover, a new cost-efficient broadcast scheduling algorithm is introduced, achieving nearly top performance with minimal CPU and memory requirements. The new algorithm also promotes the adaptivity of push systems to the clients' changing needs, another factor that has not been taken into account by traditional approaches.
机译:基于推式系统的研究已经引入了几种出色的理论分析和算法,旨在在多种条件下优化客户的平均等待时间。但是,计算和存储需求方面已被大大地忽略了,因此破坏了推式系统相对于基于拉式系统的主要优点,即它们的最小成本。在本文中,从成本方面评估了有影响力和性能最高的知名算法。结果表明,要实现它们,必须进行根本的改进。此外,还引入了一种新的具有成本效益的广播调度算法,以最少的CPU和内存需求实现了近乎最高的性能。新算法还促进了推送系统对客户不断变化的需求的适应性,这是传统方法尚未考虑的另一个因素。

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