Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Making a Case for Efficient Supercomputing
Queue - Power Management
A case for high performance computing with virtual machines
Proceedings of the 20th annual international conference on Supercomputing
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Statistical QoS Guarantee and Energy-Efficiency in Web Server Clusters
ECRTS '07 Proceedings of the 19th Euromicro Conference on Real-Time Systems
VirtualPower: coordinated power management in virtualized enterprise systems
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
No "power" struggles: coordinated multi-level power management for the data center
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Autonomic power and performance management for computing systems
Cluster Computing
Power and Performance Management of Virtualized Computing Environments Via Lookahead Control
ICAC '08 Proceedings of the 2008 International Conference on Autonomic Computing
1000 Islands: Integrated Capacity and Workload Management for the Next Generation Data Center
ICAC '08 Proceedings of the 2008 International Conference on Autonomic Computing
Generating Adaptation Policies for Multi-tier Applications in Consolidated Server Environments
ICAC '08 Proceedings of the 2008 International Conference on Autonomic Computing
Efficient Power Management of Heterogeneous Soft Real-Time Clusters
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
High performance virtual machine migration with RDMA over modern interconnects
CLUSTER '07 Proceedings of the 2007 IEEE International Conference on Cluster Computing
Optimal power allocation in server farms
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
A cost-sensitive adaptation engine for server consolidation of multitier applications
Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware
Shares and utilities based power consolidation in virtualized server environments
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Towards energy-aware scheduling in data centers using machine learning
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Towards Adaptive Power-Aware Scheduling for Real-Time Tasks on DVS-Enabled Heterogeneous Clusters
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Power-aware provisioning of virtual machines for real-time Cloud services
Concurrency and Computation: Practice & Experience
Dynamic configuration of virtual machine for power-proportional resource provisioning
Green Computing Middleware on Proceedings of the 2nd International Workshop
Accurate Mutlicore Processor Power Models for Power-Aware Resource Management
DASC '11 Proceedings of the 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing
Future Generation Computer Systems
Power optimization of variable-voltage core-based systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Concurrency and Computation: Practice & Experience
Hi-index | 0.00 |
Energy efficient resource management has become a significant concern in virtualized data centers to reduce operational costs and extend systems' lifetime. The opportunity of reducing energy can be achieved by using Dynamic Voltage Frequency Scaling (DVFS) and hosts consolidation.However, energy management of emerging High Performance Computing (HPC) clouds that host CPU-intensive jobs is more challenging. In this work, we present an optimization solution to assuage the trade-offs between energy and acceptance ratio of jobs. To achieve this, we consider the current multicore processor architecture, which supports DVFS scheme. Furthermore, we tailored an energy model for multicore processor based on the number of active cores, the average running frequency, and memory. A power-aware local VM scheduler is also implemented at the host level. Importantly, we show the importance of including static power in the energy model. Finally, we compared our approach with pure DVFS and DVFS with live migration. The results show that our approach outperforms the other approaches in terms of energy, SLA violation percentage, system utilization, and number of finished jobs. As a future work, we will implement this in a heterogeneous cluster and will consider the cost of turning off and on the hosts.