{"title":"静态SDM EON中交换策略在交换成本和网络性能方面的比较","authors":"Mingcong Yang , Chenxiao Zhang , Qian Wu , Weichang Zheng , Yongbing Zhang","doi":"10.1016/j.osn.2020.100573","DOIUrl":null,"url":null,"abstract":"<div><p><span>In this paper, we concentrate on the comparison of different switching policies, as well as their corresponding spatially-spectrally flexible super-channel transmission technologies, in static SDM-EONs. These switching policies are different due to their different spatial switching granularities and/or whether the space lane change (SLC) is supported. According to our simulation results, the switching policy with a finer switching granularity can achieve better network performance in terms of required frequency slices in the networks but meanwhile results in higher device cost. Moreover, we find that the application of SLC can only provide negligible improvements (0.1% ~ 3.1%) on network performance. SLC is encouraged only when the spectrum resource is highly valued by network operators compared to the additional device cost it brings. Moreover, in some previous works, the application of SLC can achieve a 7% ~ 14% improvement on the network throughput in dynamic network scenarios, especially when a finer spatial switching granularity is applied. Consequently, the results in this paper suggest that such an improvement is likely to be achieved by the means of network planning, such as the design of an efficient algorithm considering spectrum </span>defragmentation, because if the re-routing/re-assignment of spectrum is allowed, the dynamic scenario can be treated as a sequence of static scenarios that change with time.</p></div>","PeriodicalId":54674,"journal":{"name":"Optical Switching and Networking","volume":"38 ","pages":"Article 100573"},"PeriodicalIF":1.9000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.osn.2020.100573","citationCount":"9","resultStr":"{\"title\":\"Comparison of switching policies in terms of switching cost and network performance in static SDM-EONs\",\"authors\":\"Mingcong Yang , Chenxiao Zhang , Qian Wu , Weichang Zheng , Yongbing Zhang\",\"doi\":\"10.1016/j.osn.2020.100573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span>In this paper, we concentrate on the comparison of different switching policies, as well as their corresponding spatially-spectrally flexible super-channel transmission technologies, in static SDM-EONs. These switching policies are different due to their different spatial switching granularities and/or whether the space lane change (SLC) is supported. According to our simulation results, the switching policy with a finer switching granularity can achieve better network performance in terms of required frequency slices in the networks but meanwhile results in higher device cost. Moreover, we find that the application of SLC can only provide negligible improvements (0.1% ~ 3.1%) on network performance. SLC is encouraged only when the spectrum resource is highly valued by network operators compared to the additional device cost it brings. Moreover, in some previous works, the application of SLC can achieve a 7% ~ 14% improvement on the network throughput in dynamic network scenarios, especially when a finer spatial switching granularity is applied. Consequently, the results in this paper suggest that such an improvement is likely to be achieved by the means of network planning, such as the design of an efficient algorithm considering spectrum </span>defragmentation, because if the re-routing/re-assignment of spectrum is allowed, the dynamic scenario can be treated as a sequence of static scenarios that change with time.</p></div>\",\"PeriodicalId\":54674,\"journal\":{\"name\":\"Optical Switching and Networking\",\"volume\":\"38 \",\"pages\":\"Article 100573\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.osn.2020.100573\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optical Switching and Networking\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1573427719301407\",\"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/S1573427719301407","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}
Comparison of switching policies in terms of switching cost and network performance in static SDM-EONs
In this paper, we concentrate on the comparison of different switching policies, as well as their corresponding spatially-spectrally flexible super-channel transmission technologies, in static SDM-EONs. These switching policies are different due to their different spatial switching granularities and/or whether the space lane change (SLC) is supported. According to our simulation results, the switching policy with a finer switching granularity can achieve better network performance in terms of required frequency slices in the networks but meanwhile results in higher device cost. Moreover, we find that the application of SLC can only provide negligible improvements (0.1% ~ 3.1%) on network performance. SLC is encouraged only when the spectrum resource is highly valued by network operators compared to the additional device cost it brings. Moreover, in some previous works, the application of SLC can achieve a 7% ~ 14% improvement on the network throughput in dynamic network scenarios, especially when a finer spatial switching granularity is applied. Consequently, the results in this paper suggest that such an improvement is likely to be achieved by the means of network planning, such as the design of an efficient algorithm considering spectrum defragmentation, because if the re-routing/re-assignment of spectrum is allowed, the dynamic scenario can be treated as a sequence of static scenarios that change with time.
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