DocumentCode :
2439382
Title :
ATM Cell Scheduling and Learning by Function-Level Evolvable Hardware
Author :
Wang, Qingchun
Author_Institution :
Dept. of Comput. Sci., Wuhan Inst. of Technol., Wuhan, China
Volume :
2
fYear :
2008
fDate :
19-20 Dec. 2008
Firstpage :
727
Lastpage :
729
Abstract :
The possibility of using Evolvable Hardware (EHW) for scheduling real-time traffic in Asynchronous Transfer Mode (ATM) networks have studied in this paper. EHW is hardware built on programmable logic devices and whose architecture can be reconfigured by using genetic learning to adapt to new environments. A novel design is the function-level EHW based on Field programmable Gate Array (FPGA) chips. A number of Programmable Floating Processing Units (PFUs) are embedded in on chip. The selectable high-level hardware functions of each PFU make the function-level PFU make the function-level EHW to be suitable for a wide variety of applications in practice.
Keywords :
B-ISDN; asynchronous transfer mode; field programmable gate arrays; genetic algorithms; learning (artificial intelligence); microprocessor chips; scheduling; telecommunication computing; telecommunication traffic; ATM cell scheduling; asynchronous transfer mode; field programmable gate array chip; function-level evolvable hardware; genetic learning; programmable floating processing unit; programmable logic device; Asynchronous transfer mode; B-ISDN; Biological cells; Communication system control; Communication system traffic control; Field programmable gate arrays; Hardware; Job shop scheduling; Processor scheduling; Quality of service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
Type :
conf
DOI :
10.1109/PACIIA.2008.303
Filename :
4756872
Link To Document :
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