Peng Sun, Zhidong He, Robert E. Kooij, Piet Van Mieghem
{"title":"测量光网络可恢复性的拓扑方法","authors":"Peng Sun, Zhidong He, Robert E. Kooij, Piet Van Mieghem","doi":"10.1016/j.osn.2021.100617","DOIUrl":null,"url":null,"abstract":"<div><p>Optical networks are vulnerable to failures due to targeted attacks or large-scale disasters. The recoverability of optical networks refers to the ability of an optical network to return to a desired performance level after suffering topological perturbations such as link failures. This paper proposes a general topological approach and recoverability indicators to measure the network recoverability for optical networks for two recovery scenarios: 1) only the links which are damaged in the failure process can be recovered and 2) links can be established between any pair of nodes that have no link between them after the failure process. We use the robustness envelopes of realizations and the histograms of two recoverability indicators to illustrate the impact of the random failure and recovery processes on the network performance. By applying the average two-terminal reliability and the network efficiency as robustness metrics, we employ the proposed approach to assess 20 real-world optical networks. Numerical results validate that the network recoverability is coupled to the network topology, the robustness metric and the recovery strategy. We further show that a greedy recovery strategy could provide a near-optimal recovery performance for the robustness metrics. We investigate the sensitivity of network recoverability and find that the sensitivity of the recoverability indicators varies according to different robustness metrics and scenarios. We also find that assortativity has the strongest correlation with both recoverability indicators.</p></div>","PeriodicalId":54674,"journal":{"name":"Optical Switching and Networking","volume":"41 ","pages":"Article 100617"},"PeriodicalIF":1.9000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.osn.2021.100617","citationCount":"5","resultStr":"{\"title\":\"Topological approach to measure the recoverability of optical networks\",\"authors\":\"Peng Sun, Zhidong He, Robert E. Kooij, Piet Van Mieghem\",\"doi\":\"10.1016/j.osn.2021.100617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Optical networks are vulnerable to failures due to targeted attacks or large-scale disasters. The recoverability of optical networks refers to the ability of an optical network to return to a desired performance level after suffering topological perturbations such as link failures. This paper proposes a general topological approach and recoverability indicators to measure the network recoverability for optical networks for two recovery scenarios: 1) only the links which are damaged in the failure process can be recovered and 2) links can be established between any pair of nodes that have no link between them after the failure process. We use the robustness envelopes of realizations and the histograms of two recoverability indicators to illustrate the impact of the random failure and recovery processes on the network performance. By applying the average two-terminal reliability and the network efficiency as robustness metrics, we employ the proposed approach to assess 20 real-world optical networks. Numerical results validate that the network recoverability is coupled to the network topology, the robustness metric and the recovery strategy. We further show that a greedy recovery strategy could provide a near-optimal recovery performance for the robustness metrics. We investigate the sensitivity of network recoverability and find that the sensitivity of the recoverability indicators varies according to different robustness metrics and scenarios. We also find that assortativity has the strongest correlation with both recoverability indicators.</p></div>\",\"PeriodicalId\":54674,\"journal\":{\"name\":\"Optical Switching and Networking\",\"volume\":\"41 \",\"pages\":\"Article 100617\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.osn.2021.100617\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Switching and Networking\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S157342772100014X\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Switching and Networking","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S157342772100014X","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Topological approach to measure the recoverability of optical networks
Optical networks are vulnerable to failures due to targeted attacks or large-scale disasters. The recoverability of optical networks refers to the ability of an optical network to return to a desired performance level after suffering topological perturbations such as link failures. This paper proposes a general topological approach and recoverability indicators to measure the network recoverability for optical networks for two recovery scenarios: 1) only the links which are damaged in the failure process can be recovered and 2) links can be established between any pair of nodes that have no link between them after the failure process. We use the robustness envelopes of realizations and the histograms of two recoverability indicators to illustrate the impact of the random failure and recovery processes on the network performance. By applying the average two-terminal reliability and the network efficiency as robustness metrics, we employ the proposed approach to assess 20 real-world optical networks. Numerical results validate that the network recoverability is coupled to the network topology, the robustness metric and the recovery strategy. We further show that a greedy recovery strategy could provide a near-optimal recovery performance for the robustness metrics. We investigate the sensitivity of network recoverability and find that the sensitivity of the recoverability indicators varies according to different robustness metrics and scenarios. We also find that assortativity has the strongest correlation with both recoverability indicators.
期刊介绍:
Optical Switching and Networking (OSN) is an archival journal aiming to provide complete coverage of all topics of interest to those involved in the optical and high-speed opto-electronic networking areas. The editorial board is committed to providing detailed, constructive feedback to submitted papers, as well as a fast turn-around time.
Optical Switching and Networking considers high-quality, original, and unpublished contributions addressing all aspects of optical and opto-electronic networks. Specific areas of interest include, but are not limited to:
• Optical and Opto-Electronic Backbone, Metropolitan and Local Area Networks
• Optical Data Center Networks
• Elastic optical networks
• Green Optical Networks
• Software Defined Optical Networks
• Novel Multi-layer Architectures and Protocols (Ethernet, Internet, Physical Layer)
• Optical Networks for Interet of Things (IOT)
• Home Networks, In-Vehicle Networks, and Other Short-Reach Networks
• Optical Access Networks
• Optical Data Center Interconnection Systems
• Optical OFDM and coherent optical network systems
• Free Space Optics (FSO) networks
• Hybrid Fiber - Wireless Networks
• Optical Satellite Networks
• Visible Light Communication Networks
• Optical Storage Networks
• Optical Network Security
• Optical Network Resiliance and Reliability
• Control Plane Issues and Signaling Protocols
• Optical Quality of Service (OQoS) and Impairment Monitoring
• Optical Layer Anycast, Broadcast and Multicast
• Optical Network Applications, Testbeds and Experimental Networks
• Optical Network for Science and High Performance Computing Networks