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

Book Description

Explains the importance of Elastic Optical Networks (EONs) and how they can be implemented by the world’s carriers 

This book discusses Elastic Optical Networks (EONs) from an operational perspective. It presents algorithms that are suitable for real-time operation and includes experimental results to further demonstrate the feasibility of the approaches discussed. It covers practical issues such as provisioning, protection, and defragmentation. It also presents provisioning and recovery in single layer elastic optical networks (EON). The authors review algorithms for provisioning point-to-point, anycast, and multicast connections, as well as transfer-based connections for datacenter interconnection. They also include algorithms for recovery connections from failures in the optical layer and in-operation planning algorithms for EONs.

Provisioning, Recovery and In-operation Planning in Elastic Optical Network also examines multi-layer scenarios. It covers virtual network topology reconfiguration and multi-layer recovery, and includes provisioning customer virtual networks and the use of data analytics in order to bring cognition to the network. In addition, the book:

  • Presents managing connections dynamically—and the flexibility to adapt the connection bitrate to the traffic needs fit well for new types of services, such as datacenter interconnection and Network Function Virtualization (NFV)
  • Examines the topic in a holistic and comprehensive way, addressing control and management plane issues for provisioning, recovery, and in-operation planning
  • Covers provisioning, recovery, and in-operation planning for EONs at the proposed exhaustive level

The rapid expanse of new services has made the use of EONs (a relatively new concept) a necessity. That’s why this book is perfect for students and researchers in the field of technologies for optical networks (specifically EONs), including network architectures and planning, dynamic connection provisioning, on-line network re-optimization, and control and management planes. It is also an important text for engineers and practitioners working for telecom network operators, service providers, and vendors that require knowledge on a rapidly evolving topic.

Table of Contents

  1. Cover
  2. Title Page
  3. List of Contributors
  4. 1 Motivation
    1. 1.1 Motivation
    2. 1.2 Book Outline
    3. 1.3 Book Itineraries
    4. Acknowledgment
  5. Part I: Introduction
    1. 2 Background
      1. 2.1 Introduction to Graph Theory
      2. 2.2 Introduction to Optimization
      3. 2.3 ILP Models and Heuristics for Routing Problems
      4. 2.4 Introduction to the Optical Technology
      5. 2.5 Network Life Cycle
      6. 2.6 Conclusions
    2. 3 The Routing and Spectrum Allocation Problem
      1. 3.1 Introduction
      2. 3.2 The RSA Problem
      3. 3.3 ILP Formulations Based On Slice Assignment
      4. 3.4 ILP Formulations Based On Slot Assignment
      5. 3.5 Evaluation of the ILP Formulations
      6. 3.6 The RMSA Problem
      7. 3.7 Conclusions
    3. 4 Architectures for Provisioning and In‐operation Planning
      1. 4.1 Introduction
      2. 4.2 Architectures for Dynamic Network Operation
      3. 4.3 In‐operation Planning: Use Cases
      4. 4.4 Toward Cloud‐Ready Transport Networks
      5. 4.5 Conclusions
  6. Part II: Provisioning in Single Layer Networks
    1. 5 Dynamic Provisioning of p2p Demands
      1. 5.1 Introduction
      2. 5.2 Provisioning in Transparent Networks
      3. 5.3 Provisioning in Translucent Networks
      4. 5.4 Dynamic Spectrum Allocation Adaption
      5. 5.5 Conclusions
    2. 6 Transfer‐based Datacenter Interconnection
      1. 6.1 Introduction
      2. 6.2 Application Service Orchestrator
      3. 6.3 Routing and Scheduled Spectrum Allocation
      4. 6.4 Conclusions
    3. 7 Provisioning Multicast and Anycast Demands
      1. 7.1 Introduction
      2. 7.2 Multicast Provisioning
      3. 7.3 Anycast Provisioning
      4. 7.4 Conclusions
  7. Part III: Recovery and In‐operation Planning in Single Layer Networks
    1. 8 Spectrum Defragmentation
      1. 8.1 Introduction
      2. 8.2 Spectrum Reallocation and Spectrum Shifting
      3. 8.3 Spectrum Reallocation: The SPRESSO Problem
      4. 8.4 Spectrum Shifting: The SPRING Problem
      5. 8.5 Performance Evaluation
      6. 8.6 Experimental Assessment
      7. 8.7 Conclusions
    2. 9 Restoration in the Optical Layer
      1. 9.1 Introduction
      2. 9.2 Bitrate Squeezing and Multipath Restoration
      3. 9.3 Modulation Format‐Aware Restoration
      4. 9.4 Recovering Anycast Connections
      5. 9.5 Conclusions
    3. 10 After‐Failure‐Repair Optimization
      1. 10.1 Introduction
      2. 10.2 The AFRO Problem
      3. 10.3 Restoration and AFRO with Multiple Paths
      4. 10.4 Experimental Validation
      5. 10.5 Conclusions
  8. Part IV: Multilayer Networks
    1. 11 Virtual Network Topology Design and Reconfiguration
      1. 11.1 Introduction
      2. 11.2 VNT Design and Reconfiguration Options
      3. 11.3 Static VNT Design
      4. 11.4 VNT Reconfiguration Based on Traffic Measures
      5. 11.5 Results
      6. 11.6 Conclusions
    2. 12 Recovery in Multilayer Networks
      1. 12.1 Introduction
      2. 12.2 Path Restoration in GMPLS‐Controlled Networks
      3. 12.3 Survivable VNT for DC Synchronization
      4. 12.4 Conclusions
  9. Part V: Future Trends
    1. 13 High Capacity Optical Networks Based on Space Division Multiplexing
      1. 13.1 Introduction
      2. 13.2 SDM Fibers
      3. 13.3 SDM Switching Paradigms
      4. 13.4 Resource Allocation in SDM Networks
      5. 13.5 Impact of Traffic Profile on the Performance of Spatial Sp‐Ch Switching in SDM Networks
      6. 13.6 Impact of Spatial and Spectral Granularity on the Performance of SDM Networks Based on Spatial Sp‐Ch Switching
      7. 13.7 Conclusions
    2. 14 Dynamic Connectivity Services in Support of Future Mobile Networks
      1. 14.1 Introduction
      2. 14.2 C‐RAN Requirements and CVN Support
      3. 14.3 The CUVINET Problem
      4. 14.4 Illustrative Numerical Results
      5. 14.5 Conclusions
    3. 15 Toward Cognitive In‐operation Planning
      1. 15.1 Introduction
      2. 15.2 Data Analytics for Failure Localization
      3. 15.3 Data Analytics to Model Origin–Destination Traffic
      4. 15.4 Adding Cognition to the ABNO Architecture
      5. 15.5 Conclusions
  10. List of Acronyms
  11. References
  12. Index
  13. End User License Agreement