DocumentCode :
1813031
Title :
Self*: a data-flow oriented component framework for pervasive dependability
Author :
Fetzer, Christof ; Hogstedt, K.
Author_Institution :
AT&T Labs.-Res., USA
fYear :
2003
fDate :
15-17 Jan. 2003
Firstpage :
66
Lastpage :
73
Abstract :
Both the scale and the reach of computer systems and embedded devices have been expanding constantly over the last few decades. As computer systems become pervasive, their criticality increases because they become an even more integral part of the infrastructure upon which our society depends. Hence, pervasive systems are likely to become "society critical" and their dependable operation must be ensured. Since the number of computing nodes in a pervasive system will be much greater than in traditional dependable systems, the operating cost per node needs to become much lower. Therefore, more cost effective dependability mechanisms need to be deployed to achieve the desired degree of dependability at a given maximum operating cost. In this paper, we explain the notion of pervasive dependability and outline some of the challenges we face in achieving pervasive dependability. We then describe our component based data-flow oriented middleware that we use as a test bed to investigate how to address these challenges.
Keywords :
data flow computing; embedded systems; middleware; object-oriented methods; software reliability; ubiquitous computing; Self*; computer system; data-flow oriented component framework; dependability mechanism; embedded device; maximum operating cost; middleware; pervasive dependability; pervasive system; Costs; Embedded computing; Environmental economics; Home automation; Medical services; Middleware; Pervasive computing; Power generation economics; Power system economics; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Object-Oriented Real-Time Dependable Systems, 2003. (WORDS 2003). Proceedings of the Eighth International Workshop on
Print_ISBN :
0-7695-1929-6
Type :
conf
DOI :
10.1109/WORDS.2003.1218067
Filename :
1218067
Link To Document :
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