Provisioning, Recovery, and in-Operation Planning in Elastic Optical Networks.

Intro -- Title Page -- Table of Contents -- List of Contributors -- 1 Motivation -- 1.1 Motivation -- 1.2 Book Outline -- 1.3 Book Itineraries -- Acknowledgment -- Part I: Introduction -- 2 Background -- 2.1 Introduction to Graph Theory -- 2.2 Introduction to Optimization -- 2.3 ILP Models and Heuristics for Routing Problems -- 2.4 Introduction to the Optical Technology -- 2.5 Network Life Cycle -- 2.6 Conclusions -- 3 The Routing and Spectrum Allocation Problem -- 3.1 Introduction -- 3.2 The RSA Problem -- 3.3 ILP Formulations Based On Slice Assignment -- 3.4 ILP Formulations Based On Slot Assignment -- 3.5 Evaluation of the ILP Formulations -- 3.6 The RMSA Problem -- 3.7 Conclusions -- 4 Architectures for Provisioning and In‐operation Planning -- 4.1 Introduction -- 4.2 Architectures for Dynamic Network Operation -- 4.3 In‐operation Planning: Use Cases -- 4.4 Toward Cloud‐Ready Transport Networks -- 4.5 Conclusions -- Part II: Provisioning in Single Layer Networks -- 5 Dynamic Provisioning of p2p Demands -- 5.1 Introduction -- 5.2 Provisioning in Transparent Networks -- 5.3 Provisioning in Translucent Networks -- 5.4 Dynamic Spectrum Allocation Adaption -- 5.5 Conclusions -- 6 Transfer‐based Datacenter Interconnection -- 6.1 Introduction -- 6.2 Application Service Orchestrator -- 6.3 Routing and Scheduled Spectrum Allocation -- 6.4 Conclusions -- 7 Provisioning Multicast and Anycast Demands -- 7.1 Introduction -- 7.2 Multicast Provisioning -- 7.3 Anycast Provisioning -- 7.4 Conclusions -- Part III: Recovery and In‐operation Planning in Single Layer Networks -- 8 Spectrum Defragmentation -- 8.1 Introduction -- 8.2 Spectrum Reallocation and Spectrum Shifting -- 8.3 Spectrum Reallocation: The SPRESSO Problem -- 8.4 Spectrum Shifting: The SPRING Problem -- 8.5 Performance Evaluation -- 8.6 Experimental Assessment -- 8.7 Conclusions.

9 Restoration in the Optical Layer -- 9.1 Introduction -- 9.2 Bitrate Squeezing and Multipath Restoration -- 9.3 Modulation Format‐Aware Restoration -- 9.4 Recovering Anycast Connections -- 9.5 Conclusions -- 10 After‐Failure‐Repair Optimization -- 10.1 Introduction -- 10.2 The AFRO Problem -- 10.3 Restoration and AFRO with Multiple Paths -- 10.4 Experimental Validation -- 10.5 Conclusions -- Part IV: Multilayer Networks -- 11 Virtual Network Topology Design and Reconfiguration -- 11.1 Introduction -- 11.2 VNT Design and Reconfiguration Options -- 11.3 Static VNT Design -- 11.4 VNT Reconfiguration Based on Traffic Measures -- 11.5 Results -- 11.6 Conclusions -- 12 Recovery in Multilayer Networks -- 12.1 Introduction -- 12.2 Path Restoration in GMPLS‐Controlled Networks -- 12.3 Survivable VNT for DC Synchronization -- 12.4 Conclusions -- Part V: Future Trends -- 13 High Capacity Optical Networks Based on Space Division Multiplexing -- 13.1 Introduction -- 13.2 SDM Fibers -- 13.3 SDM Switching Paradigms -- 13.4 Resource Allocation in SDM Networks -- 13.5 Impact of Traffic Profile on the Performance of Spatial Sp‐Ch Switching in SDM Networks -- 13.6 Impact of Spatial and Spectral Granularity on the Performance of SDM Networks Based on Spatial Sp‐Ch Switching -- 13.7 Conclusions -- 14 Dynamic Connectivity Services in Support of Future Mobile Networks -- 14.1 Introduction -- 14.2 C‐RAN Requirements and CVN Support -- 14.3 The CUVINET Problem -- 14.4 Illustrative Numerical Results -- 14.5 Conclusions -- 15 Toward Cognitive In‐operation Planning -- 15.1 Introduction -- 15.2 Data Analytics for Failure Localization -- 15.3 Data Analytics to Model Origin-Destination Traffic -- 15.4 Adding Cognition to the ABNO Architecture -- 15.5 Conclusions -- List of Acronyms -- References -- Index -- End User License Agreement.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.