Title
Autonomic Energy Management in a Replicated Server System
Abstract
Nowadays, medium or large-scale distributed infrastructures such as clusters and grids are widely used to host various kinds of applications (e.g. web servers or scientific applications). Resource management is a major challenge for most organizations that run these infrastructures. Many studies show that clusters are not used at their full capacity and that there are therefore a huge 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 response time while minimizing energy consumption.
Year
DOI
Venue
2010
10.1109/ICAS.2010.8
Autonomic and Autonomous Systems
Keywords
Field
DocType
response time,full capacity,energy consumption,scientific application,huge source,server infrastructure,replicated server system,autonomic energy management,major challenge,autonomic management system,resource management,resource aware management,databases,energy management,queueing theory,resource manager,distributed computing,replication,application software,management system,grid computing,servers,quality of service,autonomic computing,energy,clusters,web server
Resource management,Energy management,Autonomic computing,Grid computing,Computer science,Server,Computer network,Real-time computing,Energy consumption,Management system,Distributed computing,Web server
Conference
ISBN
Citations 
PageRank 
978-1-4244-5915-5
1
0.37
References 
Authors
5
5
Name
Order
Citations
PageRank
Aeiman Gadafi110.71
Laurent Broto2728.47
Amal Sayah3282.98
Daniel Hagimont430039.21
Noel Depalma5333.05