Study on an Adaptive Task Assignment Method in Media Context Invention

Author

Shi, Yi-Feng ; Tan, Hao ; Ma, Rong-Fang

Author_Institution

Key Lab. of Minist. of Inf. Ind. of PRC, Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2008

fDate

13-15 Dec. 2008

Firstpage

117

Lastpage

120

Abstract

In order to solve assignment problem in inventing mass media context and improve assignment efficiency and system stability, this paper analyzes the transition of Markov chain state and introduces a queues assignment model. The paper proposes an adaptive task assignment method suitable for mass media context invention by studying the key factors affecting system state transition. Experimental results show that system state transition is obviously speeded up while maintaining similar visual stability.

Keywords

Markov processes; multimedia systems; queueing theory; task analysis; Markov chain; adaptive task assignment method; assignment efficiency; mass media context; media context invention; queues assignment model; system stability; Constraint optimization; Context modeling; Electronics industry; Industrial electronics; Information analysis; Laboratories; Partial response channels; Production; Queueing analysis; Stability analysis; Adaptive; Markov chain; media context invention; task assignment;

fLanguage

English

Publisher

ieee

Conference_Titel

Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3427-5

Electronic_ISBN

978-1-4244-3426-8

Type

conf

DOI

10.1109/ICACIA.2008.4769985

Filename

4769985