Predictability of Process Resource Usage: A Measurement-Based Study on UNIX
IEEE Transactions on Software Engineering
Garbage collection: algorithms for automatic dynamic memory management
Garbage collection: algorithms for automatic dynamic memory management
The Vision of Autonomic Computing
Computer
Adaptive Parameter Collection in Dynamic Distributed Environments
ICDCS '01 Proceedings of the The 21st International Conference on Distributed Computing Systems
Critical event prediction for proactive management in large-scale computer clusters
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Feedback Control of Computing Systems
Feedback Control of Computing Systems
The evolution of a high-performing Java virtual machine
IBM Systems Journal
Performance modelling of distributed e-business applications using Queuing Petri Nets
ISPASS '03 Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software
Path-based faliure and evolution management
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
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Competition among software providers creates enormous pressure on design and development teams to improve application performance. However, increased performance leads to systems whose behaviour is harder to predict. This in turn makes software harder to manage, or self-manage in the case of autonomic software. In this paper we elaborate on this problem, first in generic terms, and then taking memory-usage monitoring in a Java Virtual Machine as a specific example. We motivate the need for more research in developing monitoring techniques that can cope with the complexity of modern software systems. We finally present our own efforts in this direction.