Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Power-aware QoS Management in Web Servers
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Self-Optimization in Computer Systems via On-Line Control: Application to Power Management
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Energy-Efficient Real-Time Heterogeneous Server Clusters
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
Dynamic Voltage Scaling in Multitier Web Servers with End-to-End Delay Control
IEEE Transactions on Computers
Statistical QoS Guarantee and Energy-Efficiency in Web Server Clusters
ECRTS '07 Proceedings of the 19th Euromicro Conference on Real-Time Systems
Autonomic power and performance management for computing systems
Cluster Computing
Communications of the ACM - Web science
Power-aware dynamic placement of HPC applications
Proceedings of the 22nd annual international conference on Supercomputing
Power-Efficient Response Time Guarantees for Virtualized Enterprise Servers
RTSS '08 Proceedings of the 2008 Real-Time Systems Symposium
pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems
Middleware '08 Proceedings of the ACM/IFIP/USENIX 9th International Middleware Conference
Heuristics for the variable sized bin-packing problem
Computers and Operations Research
A framework for dynamic adaptation of power-aware server clusters
Proceedings of the 2009 ACM symposium on Applied Computing
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Energy aware consolidation for cloud computing
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
On the utility of DVFS for power-aware job placement in clusters
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
Enacting SLAs in clouds using rules
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
An architecture and methodology for a four-phased approach to green business process reengineering
ICT-GLOW'11 Proceedings of the First international conference on Information and communication on technology for the fight against global warming
Increasing Energy Efficiency in Data Centers Using Energy Management
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
Energy-aware service allocation
Future Generation Computer Systems
Energy-efficient and SLA-aware management of IaaS clouds
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
Reducing Operational Costs through Consolidation with Resource Prediction in the Cloud
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Adaptive resource configuration for Cloud infrastructure management
Future Generation Computer Systems
EnergIT: A Methodology for the Incremental Green Design of Data Centers
International Journal of Green Computing
Developing resource consolidation frameworks for moldable virtual machines in clouds
Future Generation Computer Systems
Hi-index | 0.00 |
An increasing number of large-scale server clusters are being deployed in data centers for supporting many different web-based application services in a seamless fashion. In this scenario, the rising energy costs for keeping up those web clusters is becoming an important concern for many business. In this paper we present an optimization solution for power and performance management in a platform running multiple independent web applications. Our approach assumes a virtualized server environment and includes an optimization model and strategy to dynamically manage the cluster power consumption, while meeting the application's workload demands.