Detection of anomalies in software architecture with connectors
Science of Computer Programming - Special issue on quality system and software architectures
FUSE: lightweight guaranteed distributed failure notification
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Grouping algorithms for scalable self-monitoring distributed systems
Autonomics '08 Proceedings of the 2nd International Conference on Autonomic Computing and Communication Systems
Semantic partitioning of peer-to-peer search space
Computer Communications
Design of the notification system for failure detectors
International Journal of High Performance Computing and Networking
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
International Journal of Parallel Programming
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Journal of Intelligent Manufacturing
A case for event-driven distributed objects
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part II
An architectural framework for detecting process hangs/crashes
EDCC'05 Proceedings of the 5th European conference on Dependable Computing
Survey: Survey of fault tolerant techniques for grid
Computer Science Review
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One of the fundamental differences between a centralized system and a distributed one is the notion of partial failures. The ability to efficiently and accurately detect failures is a key element underlying reliable distributed computing. In current distributed systems however, failure detection is either left to the application developer or hidden from the programmer and provided in an ad hoc manner behind the scene. We plead for an intermediate approach where failure detectors are first class objects. We view failure detection as an abstraction, the complexity of which is encapsulated be-hind well defined interfaces. The various roles of a failure detection service are all represented as first class objects.Following our approach, one can reuse existing failure detection protocols as they are or, through composition or refinement, define new protocols that match the application requirements. We describe an interesting result of a composition that mixes push and pull failure monitoring and we show how scalability issues may be addressed by using a hierarchical failure detection configuration. We also discuss the implementation of our failure service both in CORBA and in Java.