A self-organizing and self-configuration algorithm for resource management in service-oriented systems

Javad Zarrin; Rui L. Aguiar; João Paulo Barraca

doi:10.1109/ISCC.2014.6912524

A self-organizing and self-configuration algorithm for resource management in service-oriented systems

Javad Zarrin^*, Rui L. Aguiar, João Paulo Barraca

^*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

With the ever increasing deployment of service-oriented distributed systems in large-scale and heterogeneous computing environments, clustering and communication overlay topology design has become more and more important to address several challenging issues and conflicting requirements, such as efficient scheduling and distribution of services among computing resources, reducing communication cost between services, high performance service and resource discovery while considering both inter-service and inter-node properties and also increasing the load distribution and the load balance. In this paper, a four-stage hierarchical clustering algorithm is proposed which automates the process of the optimally composing communicating groups in a dynamic way while preserving the proximity of the nodes. The simulation results show the performance of the algorithm with respect to load balance, scalability and efficiency.

Original language	English
Title of host publication	2014 IEEE Symposium on Computers and Communications (ISCC 2014)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	646-652
Number of pages	7
ISBN (Electronic)	9781479942787, 9781479942770
ISBN (Print)	9781479942763
DOIs	https://doi.org/10.1109/ISCC.2014.6912524
Publication status	Published - 29 Sept 2014
Externally published	Yes
Event	19th IEEE Symposium on Computers and Communications - Madeira, Portugal Duration: 23 Jun 2014 → 26 Jun 2014 Conference number: 19th https://iscc2014.ieee-iscc.org/

Publication series

Name	Proceedings - IEEE Symposium on Computers and Communications
ISSN (Print)	1530-1346

Conference

Conference	19th IEEE Symposium on Computers and Communications
Abbreviated title	ISCC 2014
Country/Territory	Portugal
City	Madeira
Period	23/06/14 → 26/06/14
Internet address	https://iscc2014.ieee-iscc.org/

Keywords

Self-configuration
Self-adaptation
Service-oriented systems
Self-deployment
Resource discovery
Resource management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ISCC.2014.6912524

Cite this

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title = "A self-organizing and self-configuration algorithm for resource management in service-oriented systems",

abstract = "With the ever increasing deployment of service-oriented distributed systems in large-scale and heterogeneous computing environments, clustering and communication overlay topology design has become more and more important to address several challenging issues and conflicting requirements, such as efficient scheduling and distribution of services among computing resources, reducing communication cost between services, high performance service and resource discovery while considering both inter-service and inter-node properties and also increasing the load distribution and the load balance. In this paper, a four-stage hierarchical clustering algorithm is proposed which automates the process of the optimally composing communicating groups in a dynamic way while preserving the proximity of the nodes. The simulation results show the performance of the algorithm with respect to load balance, scalability and efficiency.",

author = "Javad Zarrin and Aguiar, {Rui L.} and Barraca, {Jo{\~a}o Paulo}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 19th IEEE Symposium on Computers and Communications, ISCC 2014 ; Conference date: 23-06-2014 Through 26-06-2014",

year = "2014",

month = sep,

day = "29",

doi = "10.1109/ISCC.2014.6912524",

language = "English",

isbn = "9781479942763",

series = "Proceedings - IEEE Symposium on Computers and Communications",

publisher = "IEEE ",

pages = "646--652",

booktitle = "2014 IEEE Symposium on Computers and Communications (ISCC 2014)",

url = "https://iscc2014.ieee-iscc.org/",

}

Zarrin, J, Aguiar, RL & Barraca, JP 2014, A self-organizing and self-configuration algorithm for resource management in service-oriented systems. in 2014 IEEE Symposium on Computers and Communications (ISCC 2014)., 6912524, Proceedings - IEEE Symposium on Computers and Communications, IEEE , Piscataway, NJ, pp. 646-652, 19th IEEE Symposium on Computers and Communications, Madeira, Portugal, 23/06/14. https://doi.org/10.1109/ISCC.2014.6912524

A self-organizing and self-configuration algorithm for resource management in service-oriented systems. / Zarrin, Javad; Aguiar, Rui L.; Barraca, João Paulo.
2014 IEEE Symposium on Computers and Communications (ISCC 2014). Piscataway, NJ: IEEE , 2014. p. 646-652 6912524 (Proceedings - IEEE Symposium on Computers and Communications).

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

TY - GEN

T1 - A self-organizing and self-configuration algorithm for resource management in service-oriented systems

AU - Zarrin, Javad

AU - Aguiar, Rui L.

AU - Barraca, João Paulo

N1 - Conference code: 19th

PY - 2014/9/29

Y1 - 2014/9/29

N2 - With the ever increasing deployment of service-oriented distributed systems in large-scale and heterogeneous computing environments, clustering and communication overlay topology design has become more and more important to address several challenging issues and conflicting requirements, such as efficient scheduling and distribution of services among computing resources, reducing communication cost between services, high performance service and resource discovery while considering both inter-service and inter-node properties and also increasing the load distribution and the load balance. In this paper, a four-stage hierarchical clustering algorithm is proposed which automates the process of the optimally composing communicating groups in a dynamic way while preserving the proximity of the nodes. The simulation results show the performance of the algorithm with respect to load balance, scalability and efficiency.

AB - With the ever increasing deployment of service-oriented distributed systems in large-scale and heterogeneous computing environments, clustering and communication overlay topology design has become more and more important to address several challenging issues and conflicting requirements, such as efficient scheduling and distribution of services among computing resources, reducing communication cost between services, high performance service and resource discovery while considering both inter-service and inter-node properties and also increasing the load distribution and the load balance. In this paper, a four-stage hierarchical clustering algorithm is proposed which automates the process of the optimally composing communicating groups in a dynamic way while preserving the proximity of the nodes. The simulation results show the performance of the algorithm with respect to load balance, scalability and efficiency.

U2 - 10.1109/ISCC.2014.6912524

DO - 10.1109/ISCC.2014.6912524

M3 - Conference contribution

AN - SCOPUS:84908190295

SN - 9781479942763

T3 - Proceedings - IEEE Symposium on Computers and Communications

SP - 646

EP - 652

BT - 2014 IEEE Symposium on Computers and Communications (ISCC 2014)

PB - IEEE

CY - Piscataway, NJ

T2 - 19th IEEE Symposium on Computers and Communications

Y2 - 23 June 2014 through 26 June 2014

ER -

A self-organizing and self-configuration algorithm for resource management in service-oriented systems

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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Cite this