Debugging Parallel Programs with Instant Replay
IEEE Transactions on Computers
CoMon: a mostly-scalable monitoring system for PlanetLab
ACM SIGOPS Operating Systems Review
Evaluating Test Suites and Adequacy Criteria Using Simulation-Based Models of Distributed Systems
IEEE Transactions on Software Engineering
WS-TAXI: A WSDL-based Testing Tool for Web Services
ICST '09 Proceedings of the 2009 International Conference on Software Testing Verification and Validation
Audition of web services for testing conformance to open specified protocols
Proceedings of the 2004 international conference on Architecting Systems with Trustworthy Components
High speed and robust event correlation
IEEE Communications Magazine
Detecting application-level failures in component-based Internet services
IEEE Transactions on Neural Networks
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The Software-as-a-Service (SaaS) paradigm and corresponding service-oriented technologies have simplified the development of larger, more complex software systems that routinely span administrative and organisational boundaries. These systems inhabit a complex operating environment with numerous threats to the dependability of service compositions. These threats include many system-level failures whose causes are difficult and time-consuming to determine. It is difficult to detect vulnerabilities to these failures prior to deployment of an application into production and applications are currently not well-equipped to handle them effectively. This results in lengthy downtimes of production systems and hence low availability. The goal of this PhD is to increase the availability of such systems by eliminating as many failures as possible before deployment and by assisting administrators to diagnose their causes more efficiently. We propose a novel monitoring technique and apply failure injection techniques that target these difficult failures and enable separate administrative domains to cooperate in handling them. Furthermore, we investigate the extent to which we can equip these systems to be self-diagnosing.