Building the future internet through FIRE : 2016 FIRE book : a research and experiment based approach

Building the future internet through FIRE : 2016 FIRE book a research and experiment based approach

The Internet as we know it today is the result of a continuous activity for improving network communications, end user services, computational processes and also information technology infrastructures. The Internet has become a critical infrastructure for the human-being by offering complex networki...

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Bibliographic Details
Main Author: Serrano, Martin (-)
Other Authors: Serrano, Martin, editor (editor)
Format: eBook
Language:Inglés
Published: Gistrup, Denmark ; Delft, the Netherlands : River Publishers 2022.
2017.
Edition:First edition
Series:River Publishers series in information science and technology.
Subjects:
World Wide Web.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009703334006719
Table of Contents:
  • Front Cover
  • Half Title Page
  • RIVER PUBLISHERS SERIES IN INFORMATION SCIENCE AND TECHNOLOGY
  • Title Page - Building the Future Internet through FIRE 2016 FIRE Book: A Research and Experiment based Approach
  • Copyright Page
  • Contents
  • Dedications
  • Acknowledgements
  • Editors Biography
  • Foreword
  • List of Figures
  • List of Tables
  • PART I - The Next Generation Internet with FIRE
  • Chapter 1 - European Challenges for Experimental Facilities
  • 1.1 Evolution of Experimentation Facilities into Open Innovation Ecosystems for the Future Internet
  • 1.2 Support, Continuity and Sustainability:The NITOS Testbed Example
  • 1.2.1 NITOS Future Internet Facility Overview
  • 1.2.2 NITOS Evolution and Growth
  • 1.2.3 Facilitating User's Experience
  • 1.2.4 Exploitation of NITOS and Users Statistics
  • 1.2.5 References
  • 1.3 Experimentation: Vision and Roadmap
  • 1.3.1 Envisioning Evolution of Experimentation Facilities into the Future
  • 1.3.2 Vision and Opportunities of OMA LwM2M/oneM2M and Its Role in the Monitoring and Deployment of Large Scale Unmanned Networks
  • 1.3.3 Large Deployments with Low-power, Long-range, Low-cost
  • 1.3.3.1 LoRa technology
  • 1.3.3.2 LoRaWAN
  • 1.3.3.3 Simplified deployment scenarios
  • 1.4 Conclusions
  • References
  • Chapter 2 - Next Generation Internet Research and Experimentation
  • 2.1 Experimentation Facilities in H2020: Strategic Research and Innovation Agenda Contributions
  • 2.1.1 European Ecosystem Experimentation Impacts
  • 2.1.2 Drivers Transforming the Next Generation Internet Experimentation
  • 2.1.2.1 Intelligent spaces
  • 2.1.2.2 Cooperative autonomous machines
  • 2.1.2.3 Collective human experience
  • 2.1.2.4 Key networking technologies
  • 2.2 Policy Recommendations for Next Generation Internet Experimentation
  • 2.3 References.
  • 2.4 Experimentation Facilities Evolution towards Ecosystems for Open Innovation in the Internet of Future
  • 2.4.1 Changes in the FIRE Portfolio
  • 2.4.2 Technological Innovation and Demand Pull
  • 2.4.3 Positioning of FIRE
  • 2.4.4 Bridging the Gaps between Demands and Service Offer
  • 2.4.5 Testbed-as-a-Service
  • 2.4.6 Future Scenarios for FIRE
  • 2.5 FIRE Vision and Mission in H2020
  • 2.6 From Vision to Strategic Objectives
  • 2.6.1 Strategic Objectives
  • 2.6.2 FIRE's Enablers
  • 2.7 FIRE Roadmap towards 2020
  • 2.7.1 Milestones
  • 2.7.2 Towards Implementation - Resolving the Gaps
  • 2.8 Main Conclusions and Recommendations
  • 2.8.1 FIRE Vision and Positioning
  • 2.8.2 Strategic Challenges for Evolution of FIRE
  • 2.8.3 Action Plans to Realize the Strategic Directions
  • 2.9 Final Remarks
  • References to AmpliFIRE Reports and White Papers
  • PART II - Experimentation FACILITIES Best Practices and Flagship Projects
  • Chapter 3 - Fed4FIRE - The Largest Federation of Testbeds in Europe
  • 3.1 Introduction
  • 3.2 Federated Experimentation Facilities
  • 3.2.1 Requirements from Industry and Research
  • 3.2.2 Establishing Fed4FIRE Federation of Testbesd
  • 3.2.3 Experimentation Facilities in Fed4FIRE
  • 3.3 Framework for Large-scale Federation of Testbeds
  • 3.3.1 Framework Architecture and Tools
  • 3.3.1.1 Experiment lifecycle
  • 3.3.1.2 Resource discovery, specification, reservation and provisioning
  • 3.3.1.2.1 Architectural components
  • 3.3.1.3 Other functionality
  • 3.3.2 Federating Experimentation Facilities
  • 3.3.2.1 Classes of testbeds
  • 3.3.2.2 Types of federation
  • 3.3.2.3 Workflow for federation
  • 3.3.3 Federation Tools
  • 3.3.3.1 Portal
  • 3.3.3.2 jFed
  • 3.3.3.3 NEPI
  • 3.3.3.4 YourEPM
  • 3.4 Federated Testing in Fed4FIRE
  • 3.4.1 Overview of Experiments on Fed4FIRE
  • 3.4.2 Complexity of the Fed4FIRE Experiments.
  • 3.4.3 Value to the Experimenter
  • 3.4.4 Support Provided by the Federation to SMEs
  • 3.4.5 Added Value of the Federation
  • 3.5 Operating the Federation
  • 3.5.1 Federation Model, Structure and Roles
  • 3.5.2 Financial Approach of the Federation
  • 3.5.3 Organization of the Federation
  • 3.6 Summary
  • Chapter 4 - A Platform for 4G/5G Wireless Networking Research,Targeting the Experimentally-Driven Research Approach - FLEX -
  • 4.1 Introduction
  • 4.2 Problem Statement
  • 4.2.1 FLEX Testbeds
  • 4.2.1.1 NITOS testbed
  • 4.2.1.2 w-iLab.t testbed
  • 4.2.1.3 OpenAirInterface testbed
  • 4.2.1.4 PerformNetworks testbed
  • 4.2.1.5 FUSECO playground
  • 4.3 Background and State-of-the-Art on Control and Management of Testbeds
  • 4.3.1 Slice-based Federation Architecture (SFA)
  • 4.3.2 cOntrol and Management Framework (OMF)
  • 4.3.3 OML
  • 4.4 Approach
  • 4.5 Technical Work
  • 4.5.1 Control Plane Tools
  • 4.5.1.1 NITOS Scheduler
  • 4.5.1.2 jFed
  • 4.5.1.3 NITOS brokering
  • 4.5.2 Experimental Plane Tools
  • 4.5.2.1 The FLEX LTErf service
  • 4.5.2.2 OMF extensions
  • 4.5.3 Monitoring Applications
  • 4.5.3.1 FLEX QoE tool
  • 4.5.3.2 FLEX problems
  • 4.5.3.3 FLEX netchanges
  • 4.5.4 Handover Toolkit
  • 4.5.4.1 S1-based handovers
  • 4.5.4.2 X2-based handovers
  • 4.5.4.3 Cross-technology Inter-RAT SDN based handovers
  • 4.5.5 Mobility Emulation Platforms
  • 4.5.6 Functional Federation
  • 4.6 Results and/or Achievements
  • 4.6.1 Semantic Based Coordination for LTE in Unlicensed Bands
  • 4.6.2 FLOW LTE to Wi-Fi Offloading Experiments
  • Discussion
  • Conclusions
  • References
  • Chapter 5 - MONROE: Measuring Mobile Broadband Networks in Europe
  • 5.1 Introduction
  • 5.2 Background and State of the Art
  • 5.3 MONROE Approach and Key Features
  • 5.4 MONROE System Design
  • 5.5 Experiment Deployment
  • 5.5.1 MONROE as a Fed4FIRE Federated Project.
  • 5.5.2 User Authentication
  • 5.5.3 The Experimenters Portal (MONROE User Access Client)
  • 5.5.4 MONROE Scheduler
  • 5.6 Network Measurements and Analytics with MONROE
  • 5.6.1 MONROE Monitoring Experiments
  • 5.6.2 Network Analytics with MONROE
  • 5.7 User Experiments
  • 5.8 Conclusions
  • References
  • Chapter 6 - Perform Networks: A Testbed for Exhaustive Interoperability and Performance Analysis for Mobile Networks
  • 6.1 Introduction
  • 6.2 Problem Statement
  • 6.3 Background and State of the Art
  • 6.3.1 Research Tools for Wireless Communications
  • 6.3.2 Wireless Testbed Platforms
  • 6.4 Approach
  • 6.5 TechnicalWork
  • 6.5.1 T2010 Standard S1 Interface Extension
  • 6.5.2 Fleximon
  • 6.5.3 TestelDroid
  • 6.5.4 FIRE Technology
  • 6.6 Results and Achievements
  • 6.6.1 SME Experiments
  • 6.6.2 FIRE Projects
  • 6.6.3 Research Activities
  • 6.7 Discussion
  • 6.8 Conclusion
  • References
  • Chapter 7 - Large Scale Testbed for Intercontinental Smart City Experiments and Pilots - Results and Experiences
  • 7.1 Introduction
  • 7.2 TRESCIMO Architecture
  • 7.2.1 Smart Environmental Monitoring Trial
  • 7.2.2 Smart Energy Trial
  • 7.3 Trial Results
  • 7.3.1 Smart Environmental Monitoring Trial
  • 7.3.1.1 Scenario and experiments
  • 7.3.1.2 Evaluation results
  • 7.3.1.2.1 Visualisation and monitoring of the data transmitted by the sensor devices
  • 7.3.1.2.2 Performance of the DTN and wake-up system
  • 7.3.1.2.3 Consumption of the wake-up sensor devices
  • 7.3.1.2.4 Performance of the data collection process and device update capabilities
  • 7.3.2 Smart Energy Trial
  • 7.3.2.1 Scenario and experiments
  • 7.3.2.2 Evaluation results
  • 7.3.2.2.1 Energy consumption awareness
  • 7.3.2.2.2 Behavioural change
  • 7.3.2.2.3 Mobile app
  • 7.3.2.2.4 Technology performance metrics
  • 7.4 Discussion
  • 7.4.1 Smart Environmental Monitoring Trial Observations.
  • 7.4.2 Smart Energy Trial Observations
  • 7.4.3 General Observation
  • 7.5 Conclusion
  • Acknowledgments
  • References
  • Chapter 8 - BonFIRE: A Multi-Cloud Experimentation-as-a-Service Ecosystem
  • 8.1 Introduction
  • 8.2 A Cloud and Services Experimentation Service
  • 8.3 Technical Approach
  • 8.4 Federation of Heterogeneous Cloud and Networking Testbeds
  • 8.5 Federation within the Broader FIRE Ecosystem
  • 8.6 Pioneering Open Access Experimentation and Sustainability
  • 8.7 Conclusions and Outlook
  • Acknowledgements
  • Chapter 9 - EXPERIMEDIA - A Multi-Venue Experimentation Service Supporting Technology Innovation through New Forms of Social Interaction and User Experience
  • 9.1 Introduction
  • 9.2 Networked Multimedia Systems
  • 9.3 A Multi-Venue Media Experimentation Service
  • 9.4 Smart Venues and Experiments
  • 9.5 Users at the Heart of the System
  • 9.6 Making a Difference in the Real-World
  • 9.7 Real-Time Interactive and Immersive Media
  • 9.8 Economic and Social Viability of Data Value Chains
  • 9.9 Innovation whilst Respecting Privacy
  • 9.10 Conclusions
  • Acknowledgements
  • References
  • Chapter 10 - Cross-Domain Interoperability Using Federated Interoperable SemanticIoT/C loud Testbeds and Applications: The FIESTA-IoT Approach
  • 10.1 Introduction
  • 10.2 Federated IoT Testbeds and Deployment of Experimental Facilities
  • 10.3 Cross-Domain Interoperability
  • 10.4 Experimentation as a Service
  • 10.5 IoT Data Marketplace
  • 10.6 FIESTA Platform Services and Tools
  • 10.6.1 FIESTA Approach on Global Market Confidence Programme on Interoperability Service
  • 10.6.2 FIESTA Approach on Linking and Reasoning over IoT Data Streams Services
  • 10.6.3 FIESTA Approach on Federating IoT Stream Data Management Services
  • 10.6.4 FIESTA Approach on Semantic Interoperability for IoT/Cloud Data Streams Tools.
  • 10.6.5 FIESTA Approach on Semantic Interoperability for IoT/Cloud Resources Tools.

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