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计算机系统应用英文版:2023,32(4):77-85
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数据中心差异化时延满足率优化调度
(天津城建大学 计算机与信息工程学院, 天津 300384)
Optimization Scheduling of Differential Delay Satisfaction Rate in Data Center
(School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin 300384, China)
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Received:September 20, 2022    Revised:October 19, 2022
中文摘要: 光交换网络数据传输时根据数据性质不同, 用户对时延要求也有所不同, 如何在保证光交换调度效率的同时满足差异化时延需求, 是决定网络性能的一个重要因素. 目前针对光网络调度的研究主要基于逐个时隙或基于分组进行调度. 前者没有考虑重配置开销的问题, 无法处理大规模数据交换, 后者忽略了不同延迟以及QoS保证的需要. 为了解决数据中心光交换数据时延需求不同的问题, 本文提出两种新的调度算法SDF (stringent delay first)和m-SDF (m-order stringent delay first), 将不同数据包的差异化时延需求、配置顺序、重配置开销和加速比作为考虑因素, 在流量调度时采用贪心策略, 每次选择对时延最为敏感的数据包进行优先调度以满足时延需求. 所提算法在保证投递率的前提下, 能最大程度满足更多数据包的传输时延. 仿真实验表明两个算法具有较高的时延满足率, 证明了调度算法的有效性.
Abstract:Users have differential delay requirements for data transmission in optical switching networks according to the nature of the data. In addition, it is an important factor to determine the network performance that how to satisfy the differential delay requirement while ensuring the scheduling efficiency of optical switching. At present, research on optical network scheduling is mainly based on single slot time or groups. The former does not consider the reconfi-guration overhead and thus cannot handle large-scale data exchange, while the latter ignores the need for different delays and QoS guarantees. In order to solve the problem of different data delay requirements for optical switching in data centers, this study proposes two new scheduling algorithms including stringent delay first (SDF) and m-order stringent delay first (m-SDF). The study also takes differential delay requirements, configuration order, reconfiguration overhead, and acceleration ratio of different data packets into account and adopts a greedy strategy in data scheduling. Furthermore, the study chooses a data packet that is the most sensitive to delay each time for priority scheduling, so as to meet the delay requirement. The proposed algorithms can maximize the transmission delay of more data packets under the premise of guaranteeing the delivery rate. The simulation results show that the two algorithms have a high delay satisfaction rate, which proves the effectiveness of the scheduling algorithms.
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基金项目:天津市教委科研计划(2019KJ094)
引用文本:
李耀芳,刘国瑞,洪姣.数据中心差异化时延满足率优化调度.计算机系统应用,2023,32(4):77-85
LI Yao-Fang,LIU Guo-Rui,HONG Jiao.Optimization Scheduling of Differential Delay Satisfaction Rate in Data Center.COMPUTER SYSTEMS APPLICATIONS,2023,32(4):77-85