Hard real-time scheduling for low-energy using stochastic data and DVS processors
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Server load balancing
Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Load Balancing Servers, Firewalls, and Caches
Load Balancing Servers, Firewalls, and Caches
Energy-Aware Partitioning for Multiprocessor Real-Time Systems
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
Energy-efficient soft real-time CPU scheduling for mobile multimedia systems
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Energy-Aware Task Allocation for Rate Monotonic Scheduling
RTAS '05 Proceedings of the 11th IEEE Real Time on Embedded Technology and Applications Symposium
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Managing server energy and operational costs in hosting centers
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Optimal procrastinating voltage scheduling for hard real-time systems
Proceedings of the 42nd annual Design Automation Conference
Energy conservation in heterogeneous server clusters
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
Dynamic voltage scaling for multitasking real-time systems with uncertain execution time
GLSVLSI '06 Proceedings of the 16th ACM Great Lakes symposium on VLSI
Energy-Efficient Real-Time Heterogeneous Server Clusters
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
A batch scheduler with high level components
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Energy-aware scheduling for real-time multiprocessor systems with uncertain task execution time
Proceedings of the 44th annual Design Automation Conference
Efficient Power Management of Heterogeneous Soft Real-Time Clusters
RTSS '08 Proceedings of the 2008 Real-Time Systems Symposium
Resource Allocation Using Virtual Clusters
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Expressive power-based resource allocation for data centers
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Multi-facet approach to reduce energy consumption in clouds and grids: the GREEN-NET framework
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Memory-aware scheduling for energy efficiency on multicore processors
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
An evaluation of the benefits of fine-grained value-based scheduling on general purpose clusters
Future Generation Computer Systems
An evaluation of the benefits of fine-grained value-based scheduling on general purpose clusters
Future Generation Computer Systems
Mapping heavy communication workflows onto grid resources within an SLA context
HPCC'06 Proceedings of the Second international conference on High Performance Computing and Communications
OPTIMIS: A holistic approach to cloud service provisioning
Future Generation Computer Systems
Towards secure mobile cloud computing: A survey
Future Generation Computer Systems
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Even if the cloud computing data centers are emerging as new candidates for replacement, traditional data centers are still growing rapidly in both number and capacity to meet the increasing demands for highly responsive computing and massive storage. Making the data center more energy efficient is therefore a necessary task. A traditional data center has many distinguished features with heterogeneous hardware, heterogeneous workload, average load rate focused, intensive time and personal effort for administrative tasks. This paper will propose a way of saving energy for traditional data centers considering all the above features. The basic idea is rearranging the allocation in such a way that energy is saved with suitable human effort. The simulation results show the efficiency of the method.