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Load balancing and speed scaling interaction in processor-sharing systems with exponential power functions

机译:具有指数幂函数的处理器共享系统中的负载平衡和速度缩放交互

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Speed scaling has been widely adopted in energy-efficient operation of communication and computer systems. An important related issue is the interaction of speed scaling with other resource allocation mechanisms such as load balancing. This paper studies the interaction between load balancing and speed scaling in processor-sharing systems with exponential power functions. We consider three different load balancing models - the delay-minmax, delay-optimal, and energy-optimal load balancing - under speed scaling, and characterize the efficiency loss of the load-balancing-speed-scaling equilibrium with the traditional delay-minmax model in delay as well as in energy consumption. As with systems with the polynomial power functions studied in our prior work, our results show that the efficiency loss in the system with the exponential power functions is mostly bounded by the heterogeneity of the system but does not scale with the size of the system. These results provide insights in understanding the interaction of load balancing with speed scaling and guiding new designs for communication systems where the power consumption is usually an exponential function of the link rate.
机译:在通信和计算机系统的节能操作中,速度缩放已被广泛采用。一个重要的相关问题是速度缩放与其他资源分配机制(例如负载平衡)的交互作用。本文研究了具有指数幂函数的处理器共享系统中负载平衡与速度缩放之间的相互作用。我们考虑速度缩放下的三种不同的负载均衡模型-延迟-最小最大,延迟最优和能量最优的负载均衡,并使用传统的延迟-最小最大模型来描述负载均衡-速度缩放均衡的效率损失在延迟以及能源消耗方面。与在我们先前的工作中研究的具有多项式幂函数的系统一样,我们的结果表明,具有指数幂函数的系统的效率损失主要受系统的异质性限制,但并不随系统的大小而定。这些结果为了解负载平衡与速度缩放的相互作用提供了见识,并为通信系统的新设计提供了指导,在这些系统中,功耗通常是链路速率的指数函数。

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