The process group approach to reliable distributed computing
Communications of the ACM
The dangers of replication and a solution
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Principles of transaction processing: for the systems professional
Principles of transaction processing: for the systems professional
Issues in supporting event-based architectural styles
ISAW '98 Proceedings of the third international workshop on Software architecture
Replicated condition monitoring
Proceedings of the twentieth annual ACM symposium on Principles of distributed computing
Publish/subscribe scheme for mobile networks
Proceedings of the second ACM international workshop on Principles of mobile computing
Using publish/subscribe middleware for mobile systems
ACM SIGMOBILE Mobile Computing and Communications Review
Publish/subscribe in a mobile environment
Wireless Networks - Special issue: Pervasive computing and communications
Grid meets sensors, sensors meet grid
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
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Systems that track sensed data trigger alerts based on the evaluation of some condition. In the presence of loss data a conservative condition may not generate a necessary alert and an aggressive condition may generate an alert that could have never happened. We observe that some lost values can be predicted and suggest new classes of conditions that provide more accurate alerts. We motivate the use of such conditions, provide a method for comparing two condition systems, and investigate the systems’ properties in both replicated and non replicated architectures. In addition, we propose a weak completeness property, discuss its merit and show a motivation for its use. Our main result shows that a triggering algorithm, used in one of our condition systems, strictly dominates another algorithm for conservative system, yet, both algorithms satisfy the same set of properties; thus, with some simple observations, we have a strong evidence for its optimality.