Optimized service function path selection for iot devices using virtual network function performance data

W. A.Shanaka Abeysiriwardhana; Janaka Wijekoon; Hiroaki Nishi

doi:10.1109/ICOIN.2019.8718150

Optimized service function path selection for iot devices using virtual network function performance data

W. A.Shanaka Abeysiriwardhana, Janaka Wijekoon, Hiroaki Nishi

Department of System Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Software defined networking (SDN) and network function virtualization (NFV) are proposed as software based applications to cater to smart services requirements of smart communities. The services are linked together to support different sets of clients using service function chaining (SFC). Service functions (SFs) in an SFC must be distributed among available computing resources by creating a service function path (SFP) allowing resource management and optimal SF execution. This paper proposes a novel SFP allocation algorithm considering the computation capabilities of hardware resources while minimizing the completion time of SFCs. The proposed algorithm shows 10% performance increment compared to recently developed algorithms such as nearly optimal service function path and optimal service function selection algorithms.

Original language	English
Title of host publication	33rd International Conference on Information Networking, ICOIN 2019
Publisher	IEEE Computer Society
Pages	165-170
Number of pages	6
ISBN (Electronic)	9781538683507
DOIs	https://doi.org/10.1109/ICOIN.2019.8718150
Publication status	Published - 2019 May 17
Event	33rd International Conference on Information Networking, ICOIN 2019 - Kuala Lumpur, Malaysia Duration: 2019 Jan 9 → 2019 Jan 11

Publication series

Name	International Conference on Information Networking
Volume	2019-January
ISSN (Print)	1976-7684

Conference

Conference	33rd International Conference on Information Networking, ICOIN 2019
Country	Malaysia
City	Kuala Lumpur
Period	19/1/9 → 19/1/11

Keywords

Internet of Things
Network Function Virtualization
Service Function Chaining
Software Defined Networking
Virtual Network Function

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ICOIN.2019.8718150

Fingerprint Dive into the research topics of 'Optimized service function path selection for iot devices using virtual network function performance data'. Together they form a unique fingerprint.

Cite this

Abeysiriwardhana, W. A. S., Wijekoon, J., & Nishi, H. (2019). Optimized service function path selection for iot devices using virtual network function performance data. In 33rd International Conference on Information Networking, ICOIN 2019 (pp. 165-170). [8718150] (International Conference on Information Networking; Vol. 2019-January). IEEE Computer Society. https://doi.org/10.1109/ICOIN.2019.8718150

Optimized service function path selection for iot devices using virtual network function performance data. / Abeysiriwardhana, W. A.Shanaka; Wijekoon, Janaka; Nishi, Hiroaki.

33rd International Conference on Information Networking, ICOIN 2019. IEEE Computer Society, 2019. p. 165-170 8718150 (International Conference on Information Networking; Vol. 2019-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abeysiriwardhana, WAS, Wijekoon, J & Nishi, H 2019, Optimized service function path selection for iot devices using virtual network function performance data. in 33rd International Conference on Information Networking, ICOIN 2019., 8718150, International Conference on Information Networking, vol. 2019-January, IEEE Computer Society, pp. 165-170, 33rd International Conference on Information Networking, ICOIN 2019, Kuala Lumpur, Malaysia, 19/1/9. https://doi.org/10.1109/ICOIN.2019.8718150

@inproceedings{36d9434f07654de989cfe683e2417f36,

title = "Optimized service function path selection for iot devices using virtual network function performance data",

abstract = "Software defined networking (SDN) and network function virtualization (NFV) are proposed as software based applications to cater to smart services requirements of smart communities. The services are linked together to support different sets of clients using service function chaining (SFC). Service functions (SFs) in an SFC must be distributed among available computing resources by creating a service function path (SFP) allowing resource management and optimal SF execution. This paper proposes a novel SFP allocation algorithm considering the computation capabilities of hardware resources while minimizing the completion time of SFCs. The proposed algorithm shows 10% performance increment compared to recently developed algorithms such as nearly optimal service function path and optimal service function selection algorithms.",

keywords = "Internet of Things, Network Function Virtualization, Service Function Chaining, Software Defined Networking, Virtual Network Function",

author = "Abeysiriwardhana, {W. A.Shanaka} and Janaka Wijekoon and Hiroaki Nishi",

year = "2019",

month = may,

day = "17",

doi = "10.1109/ICOIN.2019.8718150",

language = "English",

series = "International Conference on Information Networking",

publisher = "IEEE Computer Society",

pages = "165--170",

booktitle = "33rd International Conference on Information Networking, ICOIN 2019",

note = "33rd International Conference on Information Networking, ICOIN 2019 ; Conference date: 09-01-2019 Through 11-01-2019",

}

TY - GEN

T1 - Optimized service function path selection for iot devices using virtual network function performance data

AU - Abeysiriwardhana, W. A.Shanaka

AU - Wijekoon, Janaka

AU - Nishi, Hiroaki

PY - 2019/5/17

Y1 - 2019/5/17

N2 - Software defined networking (SDN) and network function virtualization (NFV) are proposed as software based applications to cater to smart services requirements of smart communities. The services are linked together to support different sets of clients using service function chaining (SFC). Service functions (SFs) in an SFC must be distributed among available computing resources by creating a service function path (SFP) allowing resource management and optimal SF execution. This paper proposes a novel SFP allocation algorithm considering the computation capabilities of hardware resources while minimizing the completion time of SFCs. The proposed algorithm shows 10% performance increment compared to recently developed algorithms such as nearly optimal service function path and optimal service function selection algorithms.

AB - Software defined networking (SDN) and network function virtualization (NFV) are proposed as software based applications to cater to smart services requirements of smart communities. The services are linked together to support different sets of clients using service function chaining (SFC). Service functions (SFs) in an SFC must be distributed among available computing resources by creating a service function path (SFP) allowing resource management and optimal SF execution. This paper proposes a novel SFP allocation algorithm considering the computation capabilities of hardware resources while minimizing the completion time of SFCs. The proposed algorithm shows 10% performance increment compared to recently developed algorithms such as nearly optimal service function path and optimal service function selection algorithms.

KW - Internet of Things

KW - Network Function Virtualization

KW - Service Function Chaining

KW - Software Defined Networking

KW - Virtual Network Function

UR - http://www.scopus.com/inward/record.url?scp=85066741859&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85066741859&partnerID=8YFLogxK

U2 - 10.1109/ICOIN.2019.8718150

DO - 10.1109/ICOIN.2019.8718150

M3 - Conference contribution

AN - SCOPUS:85066741859

T3 - International Conference on Information Networking

SP - 165

EP - 170

BT - 33rd International Conference on Information Networking, ICOIN 2019

PB - IEEE Computer Society

T2 - 33rd International Conference on Information Networking, ICOIN 2019

Y2 - 9 January 2019 through 11 January 2019

ER -