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An approach to optimization of fault tolerant architectures using HiP-HOPS

Adachi, Masakazu; Papadopoulos, Yiannis; Sharvia, Septavera; Parker, David; Tohdo, Tetsuya


Masakazu Adachi

Tetsuya Tohdo


New processes for the design of dependable systems must address both cost and dependability concerns. They should also maximize the potential for automation to address the problem of increasing technological complexity and the potentially immense design spaces that need to be explored. In this paper we show a design process that integrates system modelling, automated dependability analysis and evolutionary optimization techniques to achieve the optimization of designs with respect to dependability and cost from the early stages. Computerized support is provided for difficult aspects of fault tolerant design, such as decision making on the type and location of fault detection and fault tolerant strategies. The process is supported by HiP-HOPS, a scalable automated dependability analysis and optimization tool. The process was applied to a Pre-collision system for vehicles at an early stage of its design. The study shows that HiP-HOPS can overcome the limitations of earlier work based on Reliability Block Diagrams by enabling dependability analysis and optimization of architectures that may have a network topology and exhibit multiple failure modes.


Adachi, M., Papadopoulos, Y., Sharvia, S., Parker, D., & Tohdo, T. (2011). An approach to optimization of fault tolerant architectures using HiP-HOPS. Software: Practice and Experience, 41(11), 1303-1327.

Journal Article Type Article
Acceptance Date Nov 4, 2010
Online Publication Date Jan 24, 2011
Publication Date 2011-10
Deposit Date Nov 13, 2014
Journal Software-Practice & Experience
Print ISSN 0038-0644
Electronic ISSN 1097-024X
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 41
Issue 11
Pages 1303-1327
Keywords Fault tolerance; Active safety; Multi-objective optimization; Genetic algorithms
Public URL