DocumentCode :
2366147
Title :
Network Stochastic Optimization for Large Virtual Environment
Author :
HouMing, A.C. ; Leng, Koh Kim
Author_Institution :
ST Electron. (Training & Simulation Syst.) Pte Ltd., Singapore, Singapore
fYear :
2009
fDate :
25-27 Aug. 2009
Firstpage :
123
Lastpage :
129
Abstract :
The competitive landscape in the simulation domain is expecting network providers to improve scalability, lower latency and higher performance. In this paper, a backbone network infrastructure, Generic Blackboard (GBB), implemented by ST Electronics (Training & Simulation System) Pte Ltd, described on how a better interconnectivity can be achieved, providing optimum avenues for exchange of information. One of the outstanding abilities is that it allowed diverse networks example HLA, DIS to tie together. Generic Blackboard is similar to agent-based systems that allow autonomous software riding and cooperation within a backbone environment. An agent sitting along GBB can be viewed as a self-contained, concurrently executing thread of control that encapsulates different states and communicate with other agents.
Keywords :
optimisation; software agents; virtual reality; Generic Blackboard; ST Electronics; Training & Simulation System; agent-based systems; autonomous software riding; large scale virtual environment; network stochastic optimization; Delay; LAN interconnection; Large-scale systems; Scalability; Spine; Stochastic processes; Stochastic systems; Systems engineering and theory; Virtual environment; Yarn; Generic Blackboard (GBB); backbone network infrastructure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5209-5
Electronic_ISBN :
978-0-7695-3769-6
Type :
conf
DOI :
10.1109/NCM.2009.378
Filename :
5331742
Link To Document :
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