Title :
An adaptive dynamic load balancing for large scale distributed and virtual simulations
Author :
Boukerche, Azzedine ; Zhang, Ming ; Xie, Hengheng
Author_Institution :
Paradise Res. Lab., Univ. of Ottawa, Ottawa, ON
Abstract :
Load balancing techniques have been widely used in many existing distributed system and simulation frameworks. With the rapid development of virtual simulation technologies, many researchers have been investigating on how to apply virtual simulations to the distributed environment, especially when the virtual simulations need to be expanded to large-scale. In this paper, we propose an adaptive load-balancing algorithm in a P2P based distributed virtual simulation environment. Our algorithm focuses on an efficient run-time load-balancing to adapt to the variation of users requests in the system. Compared to traditional load-balancing algorithms in virtual simulation, our approach takes a full consideration of heterogeneity of a large-scale service oriented distributed system.
Keywords :
digital simulation; peer-to-peer computing; resource allocation; P2P environment; adaptive dynamic load balancing; large scale distributed system; virtual simulation; Bandwidth; Computational modeling; Distributed computing; Heuristic algorithms; Large-scale systems; Load management; Peer to peer computing; Runtime; Service oriented architecture; Virtual environment; adaptive; load balancing; virtual simulation;
Conference_Titel :
Virtual Environments, Human-Computer Interfaces and Measurements Systems, 2009. VECIMS '09. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-3808-2
Electronic_ISBN :
1944-9410
DOI :
10.1109/VECIMS.2009.5068873