Type
Conference PaperKAUST Department
Computer Science ProgramDate
2009-12Permanent link to this record
http://hdl.handle.net/10754/564244
Metadata
Show full item recordAbstract
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.Citation
Randles, M., Odat, E., Lamb, D., Abu-Rahmeh, O., & Taleb-Bendiab, A. (2009). A Comparative Experiment in Distributed Load Balancing. 2009 Second International Conference on Developments in eSystems Engineering. doi:10.1109/dese.2009.20Conference/Event name
International Conference on Developments in eSystems Engineering, DeSE 2009ISBN
9780769539126ae974a485f413a2113503eed53cd6c53
10.1109/DeSE.2009.20