Computer
The theory of trackability with applications to sensor networks
ACM Transactions on Sensor Networks (TOSN)
A survey of autonomic computing—degrees, models, and applications
ACM Computing Surveys (CSUR)
Isolation points: Creating performance-robust enterprise systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
I-queue: smart queues for service management
ICSOC'06 Proceedings of the 4th international conference on Service-Oriented Computing
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
A survey of formal methods in self-adaptive systems
Proceedings of the Fifth International C* Conference on Computer Science and Software Engineering
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In this paper we present a new server monitoring method based on a new and powerful approach to dynamic data analysis: Process Query Systems (PQS). PQS enables userspace monitoring of servers and, by using advanced behavioral models, makes accurate and fast decisions regarding server and service state. Data to support state estimation come from multiple sensor feeds located within a server network. By post-processing a systemýs state estimates, it becomes possible to identify, isolate and/or restart anomalous systems, thus avoiding cross-infection or prolonging performance degradation. The PQS system we use is a generic process detection software platform. It builds on the wide variety of system-level information that past autonomic computing research has studied by implementing a highly flexible, scalable and efficient process-based analytic engine for turning raw system information into actionable system and service state estimates.