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 | |
| 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 |
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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
Cite this
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
}
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
ER -