12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > An SPL approach for adaptive fault tolerance in...
View graph of relations

« Back

An SPL approach for adaptive fault tolerance in SOA

Research output: Contribution in Book/Report/ProceedingsPaper

Published

  • Amanda Sávio Nascimento
  • Cecília Mary Fischer Rubira
  • Jaejoon Lee
Publication date2011
Host publicationSPLC '11: Proceedings of the 15th International Software Product Line Conference, Volume 2
Place of publicationNew York
PublisherACM
Pages1-8
Number of pages8
ISBN (Print)978-1-4503-0789-5
Original languageEnglish

Abstract

It is challenging to apply existing fault tolerance strategies for developing dependable Service Oriented systems, due to the lack of capabilities to adapt themselves at runtime to cope with dynamic changes of (a) user requirements and (b) the level of quality of services (QoS). In order to support such dynamic changes, we propose to adopt Software Product Line techniques. In particular, we adopt a feature model and product line architecture to capture the variability among software fault tolerance strategies based on design diversity. We propose an infrastructure that supports the strategy changes at runtime through dynamic management of variability and is responsible for the dependable mediation logic between service clients and redundant services. The infrastructure has an autonomous controller (i.e. managing a loop of collection, analysis, planning and execution), which is responsible for monitoring the changes of (i) QoS level and (ii) user requirements and decides, in accordance with high-level policies, an appropriate fault tolerance strategy to be executed. Also, our solution allows the dynamic provision of redundant services by describing them in terms of semantics. Finally, we performed a proof of concept which indicates the feasibility of the proposed solution.