Energy-driven integrated hardware-software optimizations using SimplePower
Proceedings of the 27th annual international symposium on Computer architecture
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The case for power management in web servers
Power aware computing
Using Complete Machine Simulation for Software Power Estimation: The SoftWatt Approach
HPCA '02 Proceedings of the 8th International Symposium on High-Performance Computer Architecture
Design and validation of a performance and power simulator for PowerPC systems
IBM Journal of Research and Development
Energy-Aware Task Allocation for Rate Monotonic Scheduling
RTAS '05 Proceedings of the 11th IEEE Real Time on Embedded Technology and Applications Symposium
A Power-Aware Run-Time System for High-Performance Computing
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Joint optimization of hardware and network systems
Journal of Parallel and Distributed Computing
Making scheduling "cool": temperature-aware workload placement in data centers
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Modeling of data center airflow and heat transfer: State of the art and future trends
Distributed and Parallel Databases
Optimizing thermal design of data center cabinets with a new multi-objective genetic algorithm
Distributed and Parallel Databases
ICAC '07 Proceedings of the Fourth International Conference on Autonomic Computing
Power and Performance Management of Virtualized Computing Environments Via Lookahead Control
ICAC '08 Proceedings of the 2008 International Conference on Autonomic Computing
PowerNap: eliminating server idle power
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
The Green and Virtual Data Center
The Green and Virtual Data Center
GreenCloud: a new architecture for green data center
ICAC-INDST '09 Proceedings of the 6th international conference industry session on Autonomic computing and communications industry session
Minimizing data center cooling and server power costs
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
Cost-performance optimization of application- and context-aware distributed infrastructures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Toward Energy-Efficient Computing
Queue - Chip Design
Joint admission control and resource allocation in virtualized servers
Journal of Parallel and Distributed Computing
GreenCoop: cooperative green routing with energy-efficient servers
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
A dynamic optimization model for power and performance management of virtualized clusters
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Energy-Efficient Cloud Computing
The Computer Journal
A comparison of high-level full-system power models
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Modeling hard-disk power consumption
FAST'03 Proceedings of the 2nd USENIX conference on File and storage technologies
Joint Optimization of Hardware and Network Costs for Distributed Computer Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
| Hi-index | 0.00 |
Researches on green data centers have defined guidelines and end-to-end methodologies to increase energy efficiency. Most of these approaches require a disrupting reengineering of the infrastructure and significant upfront investments. Smaller data centers need to reach green objectives with a more incremental approach. The EnergIT project proposes a methodology and related tools that support the incremental redesign of data centers toward greater energy efficiency based on three main levers: 1 physical repositioning of servers to optimize air flow circulation and cooling, enabling higher set temperatures of the cooling system; 2 replacement of server models; and 3 virtualization. This paper describes the approach and provides evidence on the effectiveness of the methodology by showing how the combined effect of the three levers has led to 62% reduction of energy consumption in a real case study.