Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Analysis of a Multiserver Queue with Setup Times
Queueing Systems: Theory and Applications
Agile dynamic provisioning of multi-tier Internet applications
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Dynamic Server Allocation for Power and Performance
SIPEW '08 Proceedings of the SPEC international workshop on Performance Evaluation: Metrics, Models and Benchmarks
Wikipedia workload analysis for decentralized hosting
Computer Networks: The International Journal of Computer and Telecommunications Networking
vManage: loosely coupled platform and virtualization management in data centers
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Optimality analysis of energy-performance trade-off for server farm management
Performance Evaluation
The cost of reconfiguration in a cloud
Proceedings of the 11th International Middleware Conference Industrial track
Dynamic voltage and frequency scaling: the laws of diminishing returns
HotPower'10 Proceedings of the 2010 international conference on Power aware computing and systems
A queuing analysis of an energy-saving mechanism in data centers
ICOIN '12 Proceedings of the The International Conference on Information Network 2012
Enabling backbone networks to sleep
IEEE Network: The Magazine of Global Internetworking
Squeezing Out the Cloud via Profit-Maximizing Resource Allocation Policies
MASCOTS '12 Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
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It has been suggested that the conflicting objectives of high performance and low power consumption in a service center can be met by powering a block of servers on and off, in response to changing demand conditions. To test that proposition, a dynamic operating policy is evaluated in a real-life setting, using the Amazon EC2 cloud platform. The application running on the cluster is a replica of the English edition of Wikipedia, with different streams of requests generated by reading traces from a file and by means of random numbers with a given mean and squared coefficient of variation. The system costs achieved by an 'optimized' version of the policy are compared to those of a simple heuristic and also to a baseline policy consisting of keeping all servers powered on all the time and one where servers are re-allocated periodically but reserves are not employed.