资源紧张后恢复光路的多标准决策方法

IF 4.7 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Transactions on Network and Service Management Pub Date : 2024-07-29 DOI:10.1109/TNSM.2024.3435544

Alex S. Santos;Eonassis Oliveira Santos;Sabidur Rahman;Lena Wosinska;Juliana de Santi;Gustavo B. Figueiredo

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引用次数: 0

摘要

网络运营商必须处理服务等级 (CoS)，这些等级有多种质量要求，如延迟、带宽/容量、优先级等。此外，向传输网络提供的流量也在增加。这些流量可能会受到网络自然灾害或人为攻击的影响。在这种情况下，网络运营商必须根据不同需求决定恢复哪些服务。在这项工作中，我们提出了一种光路选择算法（LSA），旨在选择资源紧缩后需要恢复的光路。该算法采用多标准决策方法，考虑了 CoS、带宽、跳数和保持时间。此外，对于那些无法以全带宽恢复的光路，还考虑了服务降级问题。结果表明，我们提出的算法可以提高网络的可恢复性和可用性，而不会影响低级别的 CoS。

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Multi-Criteria Decision Approach for Lightpath Restoration After Resource Crunch

Network operators must deal with Classes of Service (CoS), which have several quality requirements, such as latency, bandwidth/capacity, priority, etc. Besides, it is observed an increase in the volume of traffic that is offered to the transport network. This traffic can be affected by network natural disasters or human-made attacks. In this case, network operators must decide which services to restore, considering their different requirements. In this work, we present a Lightpath Selection Algorithm (LSA) that aims to select lightpaths to be restored after a resource crunch. This algorithm has a multicriteria decision approach considering CoS, Bandwidth, number of Hops, and Holding time. Moreover, service degradation is also considered for those lightpaths that can not be restored with full bandwidth. Results show that our proposed algorithm can improve network restorability and availability without penalizing low-level CoSs.

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来源期刊

IEEE Transactions on Network and Service Management Computer Science-Computer Networks and Communications

CiteScore

9.30

自引率

15.10%

发文量

325

期刊介绍： IEEE Transactions on Network and Service Management will publish (online only) peerreviewed archival quality papers that advance the state-of-the-art and practical applications of network and service management. Theoretical research contributions (presenting new concepts and techniques) and applied contributions (reporting on experiences and experiments with actual systems) will be encouraged. These transactions will focus on the key technical issues related to: Management Models, Architectures and Frameworks; Service Provisioning, Reliability and Quality Assurance; Management Functions; Enabling Technologies; Information and Communication Models; Policies; Applications and Case Studies; Emerging Technologies and Standards.