Evaluation of autonomic load balancing in wireless multiaccess environment

Teemu Rautio, Markus Luoto, Jukka Mäkelä, Petteri Mannersalo

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

4 Citations (Scopus)

Abstract

The continuously increasing complexity of the communication networks and growing data traffic volume have proven to pose measurable challenges for the network and service management. The Univerself project is facing these challenges by designing a Unified Management Framework (UMF) for enabling widespread and consistent autonomic management of networks and services, while at the same time maintaining operator's supervision. This paper introduces our work on wireless access load balancing, being part of the UMF work. First of all, we summarize our approach (Distributed Decision Engine -DDE) for information monitoring, further processing and delivery in the context of autonomic network and service management. We describe our proof-of-concept prototype on multiaccess capable access selection and load balancing, and show the employment of DDE and autonomic decision mechanisms therein. The prototype is evaluated by conducting a set of measurements and outperformance will be proven against a reference system without network or service awareness.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIEEE Wireless Communications and Networking Conference, WCNC 2013
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages1416-1421
ISBN (Electronic)978-1-4673-5937-5
ISBN (Print)978-1-4673-5938-2
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
EventIEEE Wireless Communications and Networking Conference, WCNC 2013 - Shanghai, China
Duration: 7 Apr 201310 Apr 2013

Conference

ConferenceIEEE Wireless Communications and Networking Conference, WCNC 2013
Abbreviated titleWCNC 2013
CountryChina
CityShanghai
Period7/04/1310/04/13

Fingerprint

Resource allocation
Telecommunication networks
Engines
Monitoring
Processing

Keywords

  • autonomic network management
  • distributed decision making
  • load balancing
  • monitoring
  • multiaccess

Cite this

Rautio, T., Luoto, M., Mäkelä, J., & Mannersalo, P. (2013). Evaluation of autonomic load balancing in wireless multiaccess environment. In Proceedings: IEEE Wireless Communications and Networking Conference, WCNC 2013 (pp. 1416-1421). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/WCNC.2013.6554771
Rautio, Teemu ; Luoto, Markus ; Mäkelä, Jukka ; Mannersalo, Petteri. / Evaluation of autonomic load balancing in wireless multiaccess environment. Proceedings: IEEE Wireless Communications and Networking Conference, WCNC 2013. Institute of Electrical and Electronic Engineers IEEE, 2013. pp. 1416-1421
@inproceedings{2193c93984b348f583a6d9c12d1802ad,
title = "Evaluation of autonomic load balancing in wireless multiaccess environment",
abstract = "The continuously increasing complexity of the communication networks and growing data traffic volume have proven to pose measurable challenges for the network and service management. The Univerself project is facing these challenges by designing a Unified Management Framework (UMF) for enabling widespread and consistent autonomic management of networks and services, while at the same time maintaining operator's supervision. This paper introduces our work on wireless access load balancing, being part of the UMF work. First of all, we summarize our approach (Distributed Decision Engine -DDE) for information monitoring, further processing and delivery in the context of autonomic network and service management. We describe our proof-of-concept prototype on multiaccess capable access selection and load balancing, and show the employment of DDE and autonomic decision mechanisms therein. The prototype is evaluated by conducting a set of measurements and outperformance will be proven against a reference system without network or service awareness.",
keywords = "autonomic network management, distributed decision making, load balancing, monitoring, multiaccess",
author = "Teemu Rautio and Markus Luoto and Jukka M{\"a}kel{\"a} and Petteri Mannersalo",
year = "2013",
doi = "10.1109/WCNC.2013.6554771",
language = "English",
isbn = "978-1-4673-5938-2",
pages = "1416--1421",
booktitle = "Proceedings",
publisher = "Institute of Electrical and Electronic Engineers IEEE",
address = "United States",

}

Rautio, T, Luoto, M, Mäkelä, J & Mannersalo, P 2013, Evaluation of autonomic load balancing in wireless multiaccess environment. in Proceedings: IEEE Wireless Communications and Networking Conference, WCNC 2013. Institute of Electrical and Electronic Engineers IEEE, pp. 1416-1421, IEEE Wireless Communications and Networking Conference, WCNC 2013, Shanghai, China, 7/04/13. https://doi.org/10.1109/WCNC.2013.6554771

Evaluation of autonomic load balancing in wireless multiaccess environment. / Rautio, Teemu; Luoto, Markus; Mäkelä, Jukka; Mannersalo, Petteri.

Proceedings: IEEE Wireless Communications and Networking Conference, WCNC 2013. Institute of Electrical and Electronic Engineers IEEE, 2013. p. 1416-1421.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Evaluation of autonomic load balancing in wireless multiaccess environment

AU - Rautio, Teemu

AU - Luoto, Markus

AU - Mäkelä, Jukka

AU - Mannersalo, Petteri

PY - 2013

Y1 - 2013

N2 - The continuously increasing complexity of the communication networks and growing data traffic volume have proven to pose measurable challenges for the network and service management. The Univerself project is facing these challenges by designing a Unified Management Framework (UMF) for enabling widespread and consistent autonomic management of networks and services, while at the same time maintaining operator's supervision. This paper introduces our work on wireless access load balancing, being part of the UMF work. First of all, we summarize our approach (Distributed Decision Engine -DDE) for information monitoring, further processing and delivery in the context of autonomic network and service management. We describe our proof-of-concept prototype on multiaccess capable access selection and load balancing, and show the employment of DDE and autonomic decision mechanisms therein. The prototype is evaluated by conducting a set of measurements and outperformance will be proven against a reference system without network or service awareness.

AB - The continuously increasing complexity of the communication networks and growing data traffic volume have proven to pose measurable challenges for the network and service management. The Univerself project is facing these challenges by designing a Unified Management Framework (UMF) for enabling widespread and consistent autonomic management of networks and services, while at the same time maintaining operator's supervision. This paper introduces our work on wireless access load balancing, being part of the UMF work. First of all, we summarize our approach (Distributed Decision Engine -DDE) for information monitoring, further processing and delivery in the context of autonomic network and service management. We describe our proof-of-concept prototype on multiaccess capable access selection and load balancing, and show the employment of DDE and autonomic decision mechanisms therein. The prototype is evaluated by conducting a set of measurements and outperformance will be proven against a reference system without network or service awareness.

KW - autonomic network management

KW - distributed decision making

KW - load balancing

KW - monitoring

KW - multiaccess

U2 - 10.1109/WCNC.2013.6554771

DO - 10.1109/WCNC.2013.6554771

M3 - Conference article in proceedings

SN - 978-1-4673-5938-2

SP - 1416

EP - 1421

BT - Proceedings

PB - Institute of Electrical and Electronic Engineers IEEE

ER -

Rautio T, Luoto M, Mäkelä J, Mannersalo P. Evaluation of autonomic load balancing in wireless multiaccess environment. In Proceedings: IEEE Wireless Communications and Networking Conference, WCNC 2013. Institute of Electrical and Electronic Engineers IEEE. 2013. p. 1416-1421 https://doi.org/10.1109/WCNC.2013.6554771