An Adaptive Performance Management Method for Failure Detection

Author

Liang, Ke ; Zhou, Xingshe ; Zhang, Kailong ; Sheng, Ruiqing

Author_Institution

Sch. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xi´´an

fYear

2008

fDate

6-8 Aug. 2008

Firstpage

51

Lastpage

56

Abstract

Failure detection is an essential part to build high dependable distributed real-time embedded systems. However, the performance degradation of production work due to the execution of failure detection cannot be omitted. We present an adaptive performance management method for failure detection based on feedback control theory. This method is autonomous and thus allows the system to self-manage the CPU resources allocated for failure detection, with only the high-level policy input. Therefore, it limits the performance impact due to the execution of failure detection, even in the dynamic environment.

Keywords

distributed processing; failure analysis; feedback; resource allocation; software development management; adaptive performance management method; distributed real-time embedded systems; failure detection; feedback control theory; Condition monitoring; Degradation; Distributed computing; Embedded system; Face detection; Feedback control; Heart beat; Production; Real time systems; Resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on

Conference_Location

Phuket

Print_ISBN

978-0-7695-3263-9

Type

conf

DOI

10.1109/SNPD.2008.69

Filename

4617347