A QoS Based Load Balancing Framework for Large Scale Elastic Distributed Systems

Author

Nguyen, V.H. ; Khaddaj, S. ; Hoppe, A. ; Oppong, Eric

Author_Institution

Fac. of Comput., Inf. Syst. & Math., Kingston Univ., London, UK

fYear

2011

fDate

14-17 Oct. 2011

Firstpage

146

Lastpage

150

Abstract

The emergence of grid and cloud computing require load balancers to deal with potential problems, such as high level of scalability and heterogeneity of computing resources. In this paper, we present a generic load balancing framework which separates allocating process and migrating process while preserving a guaranteed level of service. Based on this framework, an intelligent load balancer that is aware of multiple Quality of Services and directed by users´ requirements is proposed. The load balancer aims to deal with elastic heterogeneous distributed computing environments.

Keywords

cloud computing; grid computing; quality of service; resource allocation; QoS based generic load balancing framework; cloud computing; computing resource heterogeneity; computing resource scalability; elastic heterogeneous distributed computing environments; grid computing; large scale elastic distributed systems; level-of-service; process allocation; process mitigation; Computational modeling; Distributed computing; History; Load modeling; Quality of service; Reliability; Sensors; Distributed Architectures; Intelligent Decision Making; Quality of Service; Scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2011 Tenth International Symposium on

Conference_Location

Wuxi

Print_ISBN

978-1-4577-0327-0

Type

conf

DOI

10.1109/DCABES.2011.12

Filename

6118583