增强网络可用性:一种优化方法

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computation Pub Date : 2023-10-09 DOI:10.3390/computation11100202
Yaser Al Mtawa
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引用次数: 0

摘要

高可用性对于网络运营商确保可靠的服务至关重要。网络故障会破坏功能,需要快速恢复。多路径组网通过负载均衡和优化链路利用率来提高可用性。然而,等价多路径(ECMP)路由在有效使用多路径方面存在局限性,降低了网络可用性。本文提出了一个三相分离路径框架,该框架通过引导流量通过单独的路径来提高可用性。该框架提供有效的负载均衡,满足各种业务需求。它包括用于识别最优多路径解决方案的优化阶段,用于将多路径划分为工作集和备份集的路径分离阶段,以及用于使用拓扑指标和基于微的特征评估两个集的鲁棒性的质量评估阶段。仿真结果验证了该框架在提高网络可用性方面的有效性。
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Enhancing Network Availability: An Optimization Approach
High availability is vital for network operators to ensure reliable services. Network faults can disrupt functionality and require quick recovery. Multipath networking enhances availability through load balancing and optimal link utilization. However, equal-cost multipath (ECMP) routing has limitations in effectively using multipaths, decreasing network availability. This paper proposes a three-phase disjoint-path framework that improves availability by directing traffic flows through separate paths. The framework provides effective load balancing and meets various service requirements. It includes the Optimization phase for identifying optimal multipath solutions, the Path Separation phase for dividing the multipath into working and backup sets, and the Quality Assessment phase for evaluating the robustness of both sets using topological metrics and micro-based characteristics. The simulations demonstrate the proposed framework’s validation and effectiveness in enhancing network availability.
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来源期刊
Computation
Computation Mathematics-Applied Mathematics
CiteScore
3.50
自引率
4.50%
发文量
201
审稿时长
8 weeks
期刊介绍: Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to: bioinformatics mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions mathematical modeling of pathways and genetic interactions neuroscience computation including neural modeling, brain theory and neural networks computational chemistry, including, but not limited to: new theories and methodology including their applications in molecular dynamics computation of electronic structure density functional theory designing and characterization of materials with computation method computation in engineering, including, but not limited to: new theories, methodology and the application of computational fluid dynamics (CFD) optimisation techniques and/or application of optimisation to multidisciplinary systems system identification and reduced order modelling of engineering systems parallel algorithms and high performance computing in engineering.
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