A comparative experiment in distributed load balancing

Handle URI:
http://hdl.handle.net/10754/564244
Title:
A comparative experiment in distributed load balancing
Authors:
Randles, Martin; Odat, Enas M.; Lamb, David J.; Osama, Abu Rahmeh; Taleb-Bendiab, Azzelarabe
Abstract:
The anticipated uptake of Cloud computing, built on the well-established research fields of web services, networks, utility computing, distributed computing and virtualisation, will bring many advantages in cost, flexibility and availability for service users. These benefits are expected to further drive the demand for cloud services, increasing both the cloud customer base and the scale of cloud installations. This has implications for many technical issues in such Service Oriented Architectures and Internet of Services (IoS) type applications; fault tolerance, high availability and scalability for examples. Central to these issues is the establishment of effective load balancing techniques. It is clear that the scale and complexity of these systems makes centralized individual assignment of jobs to specific servers infeasible; leading to the need for an effective distributed solution. This paper investigates three possible distributed solutions, which have been proposed for load balancing: An approach inspired by the foraging behaviour of the Honeybee, Biased Random Sampling and Active Clustering. © 2009 IEEE.
KAUST Department:
Computer Science Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2009 Second International Conference on Developments in eSystems Engineering
Conference/Event name:
International Conference on Developments in eSystems Engineering, DeSE 2009
Issue Date:
Dec-2009
DOI:
10.1109/DeSE.2009.20
Type:
Conference Paper
ISBN:
9780769539126
Appears in Collections:
Conference Papers; Computer Science Program

Full metadata record

DC FieldValue Language
dc.contributor.authorRandles, Martinen
dc.contributor.authorOdat, Enas M.en
dc.contributor.authorLamb, David J.en
dc.contributor.authorOsama, Abu Rahmehen
dc.contributor.authorTaleb-Bendiab, Azzelarabeen
dc.date.accessioned2015-08-04T06:20:28Zen
dc.date.available2015-08-04T06:20:28Zen
dc.date.issued2009-12en
dc.identifier.isbn9780769539126en
dc.identifier.doi10.1109/DeSE.2009.20en
dc.identifier.urihttp://hdl.handle.net/10754/564244en
dc.description.abstractThe anticipated uptake of Cloud computing, built on the well-established research fields of web services, networks, utility computing, distributed computing and virtualisation, will bring many advantages in cost, flexibility and availability for service users. These benefits are expected to further drive the demand for cloud services, increasing both the cloud customer base and the scale of cloud installations. This has implications for many technical issues in such Service Oriented Architectures and Internet of Services (IoS) type applications; fault tolerance, high availability and scalability for examples. Central to these issues is the establishment of effective load balancing techniques. It is clear that the scale and complexity of these systems makes centralized individual assignment of jobs to specific servers infeasible; leading to the need for an effective distributed solution. This paper investigates three possible distributed solutions, which have been proposed for load balancing: An approach inspired by the foraging behaviour of the Honeybee, Biased Random Sampling and Active Clustering. © 2009 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleA comparative experiment in distributed load balancingen
dc.typeConference Paperen
dc.contributor.departmentComputer Science Programen
dc.identifier.journal2009 Second International Conference on Developments in eSystems Engineeringen
dc.conference.date14 December 2009 through 16 December 2009en
dc.conference.nameInternational Conference on Developments in eSystems Engineering, DeSE 2009en
dc.conference.locationAbu Dhabien
dc.contributor.institutionLiverpool John Moores University, Liverpool, United Kingdomen
dc.contributor.institutionSohar University, Sohar, Omanen
kaust.authorOdat, Enas M.en
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