Home > Research > Publications & Outputs > Scalable and responsive SDN monitoring and reme...

Associated organisational unit

Electronic data

  • 2019FawcettPhD

    5.51 MB, PDF document

    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

Text available via DOI:

View graph of relations

Scalable and responsive SDN monitoring and remediation for the Cloud-to-Fog continuum

Research output: ThesisDoctoral Thesis

Published

Standard

Scalable and responsive SDN monitoring and remediation for the Cloud-to-Fog continuum. / Fawcett, Lyndon.
Lancaster University, 2019. 220 p.

Research output: ThesisDoctoral Thesis

Harvard

APA

Vancouver

Fawcett L. Scalable and responsive SDN monitoring and remediation for the Cloud-to-Fog continuum. Lancaster University, 2019. 220 p. doi: 10.17635/lancaster/thesis/723

Author

Bibtex

@phdthesis{4f67384b012c4e17a75f2b2062ebb0c4,
title = "Scalable and responsive SDN monitoring and remediation for the Cloud-to-Fog continuum",
abstract = "Since the inception of the digital era the sharing of information has been revolutionary to the way we live, inspiring the continuous evolution of computer networks. Year by year, humankind becomes increasingly dependent on the use of connected services as new technologies evolve and become more widely accessible. As the widespread deployment of the Internet of Things, 5G, and connected cars rapidly approaches, with tens of billions of new devices connect- ing to the Internet, there will be a plethora of new faults and attacks that will require the need to be tracked and managed. This enormous increase on Internet reliance which is stretching the limits of current solutions to network monitoring introduces security concerns, as well as challenges of scale in operation and management. Todays conventional network monitoring and management lacks the flexibility, visibility, and intelligence required to effectively operate the next generation of the Internet. The advent of network softwarisation provides new methods for network management and operation, opening new solutions to net- work monitoring and remediation. In parallel, the increase in maturity of Edge computing lends itself to new solutions for scaling network softwarisation, by deploying services throughout the network.In this thesis, two proof-of-concept systems are presented which together harness the use of Software Defined Networking, Network Functions Virtualisation, and Cloud-to-Fog computing to address challenges of scale and network security: Siren is an open platform which manages the resources within the Internet, bridging network and infrastructure management and orchestration.Tennison is a network monitoring and remediation framework which tackles monitoring scalability through adapting to network context and providing a suitable architecture to the network topology, including the use of centralised, distributed, and hierarchical deployments.",
keywords = "SDN, NFV, Security, Fog, Edge, Cloud, Network, Telemetry, OpenFlow, Framework",
author = "Lyndon Fawcett",
year = "2019",
month = sep,
day = "26",
doi = "10.17635/lancaster/thesis/723",
language = "English",
publisher = "Lancaster University",
school = "Lancaster University",

}

RIS

TY - BOOK

T1 - Scalable and responsive SDN monitoring and remediation for the Cloud-to-Fog continuum

AU - Fawcett, Lyndon

PY - 2019/9/26

Y1 - 2019/9/26

N2 - Since the inception of the digital era the sharing of information has been revolutionary to the way we live, inspiring the continuous evolution of computer networks. Year by year, humankind becomes increasingly dependent on the use of connected services as new technologies evolve and become more widely accessible. As the widespread deployment of the Internet of Things, 5G, and connected cars rapidly approaches, with tens of billions of new devices connect- ing to the Internet, there will be a plethora of new faults and attacks that will require the need to be tracked and managed. This enormous increase on Internet reliance which is stretching the limits of current solutions to network monitoring introduces security concerns, as well as challenges of scale in operation and management. Todays conventional network monitoring and management lacks the flexibility, visibility, and intelligence required to effectively operate the next generation of the Internet. The advent of network softwarisation provides new methods for network management and operation, opening new solutions to net- work monitoring and remediation. In parallel, the increase in maturity of Edge computing lends itself to new solutions for scaling network softwarisation, by deploying services throughout the network.In this thesis, two proof-of-concept systems are presented which together harness the use of Software Defined Networking, Network Functions Virtualisation, and Cloud-to-Fog computing to address challenges of scale and network security: Siren is an open platform which manages the resources within the Internet, bridging network and infrastructure management and orchestration.Tennison is a network monitoring and remediation framework which tackles monitoring scalability through adapting to network context and providing a suitable architecture to the network topology, including the use of centralised, distributed, and hierarchical deployments.

AB - Since the inception of the digital era the sharing of information has been revolutionary to the way we live, inspiring the continuous evolution of computer networks. Year by year, humankind becomes increasingly dependent on the use of connected services as new technologies evolve and become more widely accessible. As the widespread deployment of the Internet of Things, 5G, and connected cars rapidly approaches, with tens of billions of new devices connect- ing to the Internet, there will be a plethora of new faults and attacks that will require the need to be tracked and managed. This enormous increase on Internet reliance which is stretching the limits of current solutions to network monitoring introduces security concerns, as well as challenges of scale in operation and management. Todays conventional network monitoring and management lacks the flexibility, visibility, and intelligence required to effectively operate the next generation of the Internet. The advent of network softwarisation provides new methods for network management and operation, opening new solutions to net- work monitoring and remediation. In parallel, the increase in maturity of Edge computing lends itself to new solutions for scaling network softwarisation, by deploying services throughout the network.In this thesis, two proof-of-concept systems are presented which together harness the use of Software Defined Networking, Network Functions Virtualisation, and Cloud-to-Fog computing to address challenges of scale and network security: Siren is an open platform which manages the resources within the Internet, bridging network and infrastructure management and orchestration.Tennison is a network monitoring and remediation framework which tackles monitoring scalability through adapting to network context and providing a suitable architecture to the network topology, including the use of centralised, distributed, and hierarchical deployments.

KW - SDN

KW - NFV

KW - Security

KW - Fog

KW - Edge

KW - Cloud

KW - Network

KW - Telemetry

KW - OpenFlow

KW - Framework

U2 - 10.17635/lancaster/thesis/723

DO - 10.17635/lancaster/thesis/723

M3 - Doctoral Thesis

PB - Lancaster University

ER -