King's College London

Research portal

Dynamic VNF chains placement for mobile IoT applications

Research output: Chapter in Book/Report/Conference proceedingConference paper

Standard

Dynamic VNF chains placement for mobile IoT applications. / Zheng, Gao; Tsiopoulos, Anthony; Friderikos, Vasilis.

2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 9014166 (2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference paper

Harvard

Zheng, G, Tsiopoulos, A & Friderikos, V 2019, Dynamic VNF chains placement for mobile IoT applications. in 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings., 9014166, 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Global Communications Conference, GLOBECOM 2019, Waikoloa, United States, 9/12/2019. https://doi.org/10.1109/GLOBECOM38437.2019.9014166

APA

Zheng, G., Tsiopoulos, A., & Friderikos, V. (2019). Dynamic VNF chains placement for mobile IoT applications. In 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings [9014166] (2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOBECOM38437.2019.9014166

Vancouver

Zheng G, Tsiopoulos A, Friderikos V. Dynamic VNF chains placement for mobile IoT applications. In 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 9014166. (2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings). https://doi.org/10.1109/GLOBECOM38437.2019.9014166

Author

Zheng, Gao ; Tsiopoulos, Anthony ; Friderikos, Vasilis. / Dynamic VNF chains placement for mobile IoT applications. 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings).

Bibtex Download

@inbook{6e14fdac439a4d58919184c68be0f9f2,
title = "Dynamic VNF chains placement for mobile IoT applications",
abstract = "Empowered by computing at the network edge, data sensed from Internet of Things (IoT) devices can be processed by various IoT applications stored in the nearby cloudlets to reduce the response time between the IoT devices. Together with the recently wide- studied network slicing and Network Function Virtualization (NFV) paradigm, IoT edge computing function can satisfy the individual requirements on the flexibility, security as well as accessibility of the IoT applications. Although the significant research effort made on NFV architectures has received remarkable achievements recently, seldom work has put its emphasis on optimizing IoT edge computing when considering it as a service chain. Since edge computing is regarded to play as a critical role in the context of IoT paradigm to enhance network efficiency, we consider in this paper the dynamic VNF service chain allocating optimization for IoT edge computing. To this end, we detail an Integer Linear Programming (ILP) framework designed to VNF based IoT edge-chains and propose a heuristic scheme to reduce the computation difficulty for large size problems. At last, the attainable system performance of the proposed scheme has been validated by a wide set of investigations.",
keywords = "5G networks, Heuristic algorithm, Integer linear programming, IoT workload assignment, NFV, VNF placement",
author = "Gao Zheng and Anthony Tsiopoulos and Vasilis Friderikos",
year = "2019",
month = "12",
doi = "10.1109/GLOBECOM38437.2019.9014166",
language = "English",
series = "2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings",
address = "United States",

}

RIS (suitable for import to EndNote) Download

TY - CHAP

T1 - Dynamic VNF chains placement for mobile IoT applications

AU - Zheng, Gao

AU - Tsiopoulos, Anthony

AU - Friderikos, Vasilis

PY - 2019/12

Y1 - 2019/12

N2 - Empowered by computing at the network edge, data sensed from Internet of Things (IoT) devices can be processed by various IoT applications stored in the nearby cloudlets to reduce the response time between the IoT devices. Together with the recently wide- studied network slicing and Network Function Virtualization (NFV) paradigm, IoT edge computing function can satisfy the individual requirements on the flexibility, security as well as accessibility of the IoT applications. Although the significant research effort made on NFV architectures has received remarkable achievements recently, seldom work has put its emphasis on optimizing IoT edge computing when considering it as a service chain. Since edge computing is regarded to play as a critical role in the context of IoT paradigm to enhance network efficiency, we consider in this paper the dynamic VNF service chain allocating optimization for IoT edge computing. To this end, we detail an Integer Linear Programming (ILP) framework designed to VNF based IoT edge-chains and propose a heuristic scheme to reduce the computation difficulty for large size problems. At last, the attainable system performance of the proposed scheme has been validated by a wide set of investigations.

AB - Empowered by computing at the network edge, data sensed from Internet of Things (IoT) devices can be processed by various IoT applications stored in the nearby cloudlets to reduce the response time between the IoT devices. Together with the recently wide- studied network slicing and Network Function Virtualization (NFV) paradigm, IoT edge computing function can satisfy the individual requirements on the flexibility, security as well as accessibility of the IoT applications. Although the significant research effort made on NFV architectures has received remarkable achievements recently, seldom work has put its emphasis on optimizing IoT edge computing when considering it as a service chain. Since edge computing is regarded to play as a critical role in the context of IoT paradigm to enhance network efficiency, we consider in this paper the dynamic VNF service chain allocating optimization for IoT edge computing. To this end, we detail an Integer Linear Programming (ILP) framework designed to VNF based IoT edge-chains and propose a heuristic scheme to reduce the computation difficulty for large size problems. At last, the attainable system performance of the proposed scheme has been validated by a wide set of investigations.

KW - 5G networks

KW - Heuristic algorithm

KW - Integer linear programming

KW - IoT workload assignment

KW - NFV

KW - VNF placement

UR - http://www.scopus.com/inward/record.url?scp=85081957232&partnerID=8YFLogxK

U2 - 10.1109/GLOBECOM38437.2019.9014166

DO - 10.1109/GLOBECOM38437.2019.9014166

M3 - Conference paper

T3 - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

BT - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454