DocumentCode :
2486736
Title :
Network processing performability evaluation on heterogeneous reliability multicore processors using SRN model
Author :
Ungsunan, Peter D. ; Lin, Chuang ; Wang, Yang ; Gai, Yi
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear :
2009
fDate :
23-29 May 2009
Firstpage :
1
Lastpage :
6
Abstract :
Future network systems and embedded infrastructure devices in ubiquitous environments will need to consume low power and process large amounts of network packet traffic. In order to meet necessary high processing efficiency requirements, future processors will have many heterogeneous cores with reduced reliability due to low voltage, small transistor sizes, semiconductor wearout, and environmental factors such as noise and interference. It will be necessary for multi-core network infrastructure software to mitigate transient hardware faults to maintain acceptable system reliability. Applications such as packet processing can benefit from the reliability versus performance tradeoff. We propose a model based on stochastic reward nets to evaluate the performance vs. reliability tradeoff of unreliable embedded multi-core network processors, and apply this model to a multi-core packet processing application.
Keywords :
embedded systems; multiprocessing systems; reliability; stochastic processes; ubiquitous computing; SRN model; embedded infrastructure device; embedded multicore network processors; multicore network infrastructure software; multicore packet processing; network packet traffic; network processing performability evaluation; network system; stochastic reward nets; system reliability; transient hardware fault; ubiquitous environment; Environmental factors; Low voltage; Multicore processing; Noise reduction; Performance evaluation; Power system modeling; Power system reliability; Semiconductor device reliability; Telecommunication traffic; Traffic control; heterogeneous multicore; multiprocessing systems; network processing; reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel & Distributed Processing, 2009. IPDPS 2009. IEEE International Symposium on
Conference_Location :
Rome
ISSN :
1530-2075
Print_ISBN :
978-1-4244-3751-1
Electronic_ISBN :
1530-2075
Type :
conf
DOI :
10.1109/IPDPS.2009.5161188
Filename :
5161188
Link To Document :
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