DocumentCode :
1950551
Title :
Design of multimedia Web server using a neuro-fuzzy framework
Author :
Ali, Zafar ; Lee, C. S George ; Ghafoor, Arif
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Volume :
1
fYear :
2000
fDate :
7-10 May 2000
Firstpage :
510
Abstract :
In this paper, we propose a neuro-fuzzy scheduler (NFS) for a multimedia Web server to ensures synchronized delivery of multimedia documents. The problem of scheduling multimedia information to ensure media synchronization in a Web environment is identified as a multicriteria scheduling problem which is NP-hard. The proposed NFS makes an intelligent compromise among multicriteria by properly combining some scheduling heuristics. Performance of the NFS is compared with several known heuristics and a branch and bound algorithm. The results show that the proposed neuro-fuzzy scheduler can dynamically adjust to the varying work-load quite well
Keywords :
computational complexity; file servers; fuzzy neural nets; heuristic programming; information resources; multimedia systems; tree searching; NFS; NP-hard problem; branch-and-bound algorithm; heuristics; media synchronization; multimedia Web server design; multimedia document synchronized delivery; multimedia information scheduling; neuro-fuzzy framework; neuro-fuzzy scheduler; Bit rate; Concurrent computing; Dynamic scheduling; Image segmentation; Processor scheduling; Streaming media; Video compression; Video sharing; Web and internet services; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1098-7584
Print_ISBN :
0-7803-5877-5
Type :
conf
DOI :
10.1109/FUZZY.2000.838712
Filename :
838712
Link To Document :
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