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Scheduling Algorithms on Optimizing Spatial and Time Distribution of Bandwidth Utilization

机译:带宽利用时空分布优化的调度算法

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摘要

A multi-service network that can accommodate various services, such as enterprise VPN services and mobile services, is a promising solution for reducing OPEX and CAPEX. In this type of network, bandwidth can be used more efficiently by managing paths with respect to each time slot, because the time distribution of the bandwidth required by each service varies. In this paper, path selection algorithms for two types of requests are proposed. One is an algorithm for request with specified bandwidth (RSB) that calculates paths considering the bandwidth variation for different time slots, and the other is an algorithm for request with specified data volume (RSDV) that calculates paths considering the data volume. Experimental results showed that with the proposed algorithm for RSB, the network was able to accept 1.7 times as many requests as the minimum hop algorithm and 1.1 times as many as the exponential algorithm, which does not consider the time distribution of the bandwidth utilization. With the proposed algorithm for RSDV, the network was able to accept 1.6 times as many as the minimum hop and 1.5 times as many as the exponential algorithm with randomly selecting the transfer start and end time slots.
机译:可以容纳各种服务(例如企业VPN服务和移动服务)的多服务网络是减少OPEX和CAPEX的有前途的解决方案。在这种类型的网络中,由于每种服务所需带宽的时间分布会变化,因此可以通过管理每个时隙的路径来更有效地使用带宽。本文提出了两种请求的路径选择算法。一种是具有指定带宽(RSB)的请求算法,该算法考虑了不同时隙的带宽变化,计算路径,另一种是具有指定数据量(RSDV)的请求算法,其计算了考虑数据量的路径。实验结果表明,采用提出的RSB算法,网络可以接受的请求数是最小跳数算法的1.7倍和指数算法的1.1倍,这不考虑带宽利用率的时间分布。利用提出的RSDV算法,网络可以随机选择传输开始和结束时隙,从而接受1.6倍的最小跳数和1.5倍的指数算法。

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