The Database State Machine Approach
Distributed and Parallel Databases
The Vision of Autonomic Computing
Computer
Managing Web server performance with AutoTune agents
IBM Systems Journal
Software—Practice & Experience
Designing controllable computer systems
HOTOS'05 Proceedings of the 10th conference on Hot Topics in Operating Systems - Volume 10
Autonomic Management of Internet Services: Experience with Self-Optimization
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
Dependable distributed OSGi environment
Proceedings of the ACM/IFIP/USENIX Middleware '08 Conference Companion
Dependable distributed OSGi environment
Proceedings of the 3rd workshop on Middleware for service oriented computing
AKARA: A Flexible Clustering Protocol for Demanding Transactional Workloads
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Automatic elasticity in OpenStack
Proceedings of the Workshop on Secure and Dependable Middleware for Cloud Monitoring and Management
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Adaptation of system parameters is acknowledged as a requirement to scalable and dependable distributed systems. Unfortunately, adaptation cannot be effective when provided solely by individual system components as the correct decision is often tied to the composition itself and the system as a whole. In fact, proper adaption is a cross-cutting issue: Diagnostic and feedback operations must target multiple components and do it at different abstraction levels. We address this problem with the SERPENTINE middleware platform. By relying on the industry standard JMX as a service interface, it can monitor and operate on a wide range of distributed middleware and application components. By building on a JMX-enabled OSGi runtime, SERPENTINE is able to control the life-cycle of components themselves. The scriptable stateless server and cascading architecture allow for increased dependability and flexibility.