An Architecture-Based Approach to Self-Adaptive Software
IEEE Intelligent Systems
The Vision of Autonomic Computing
Computer
Rainbow: Architecture-Based Self-Adaptation with Reusable Infrastructure
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Autonomic power and performance management for computing systems
Cluster Computing
Autonomic management policy specification in Tune
Proceedings of the 2008 ACM symposium on Applied computing
Autonomic multi-agent management of power and performance in data centers
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
Methods, metrics and motivation for a green computer science program
Proceedings of the 40th ACM technical symposium on Computer science education
Future Generation Computer Systems
Autonomic Energy Management in a Replicated Server System
ICAS '10 Proceedings of the 2010 Sixth International Conference on Autonomic and Autonomous Systems
Power management in grid computing with xen
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
International Journal of Adaptive, Resilient and Autonomic Systems
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Nowadays, hosting centres are widely used to host various kinds of applications e.g., web servers or scientific applications. Resource management is a major challenge for most organisations that run these infrastructures. Many studies show that clusters are not used at their full capacity which represents a significant source of waste. Autonomic management systems have been introduced in order to dynamically adapt software infrastructures according to runtime conditions. They provide support to deploy, configure, monitor, and repair applications in such environments. In this paper, we report our experiments in using an autonomic management system to provide resource aware management for a clustered application. We consider a standard replicated server infrastructure in which we dynamically adapt the degree of replication in order to ensure a given QoS while minimising energy consumption.