Job Characteristics of a Production Parallel Scientivic Workload on the NASA Ames iPSC/860
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Balance of Power: Dynamic Thermal Management for Internet Data Centers
IEEE Internet Computing
A capacity management service for resource pools
Proceedings of the 5th international workshop on Software and performance
Making scheduling "cool": temperature-aware workload placement in data centers
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
On building next generation data centers: energy flow in the information technology stack
COMPUTE '08 Proceedings of the 1st Bangalore Annual Compute Conference
PowerNap: eliminating server idle power
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
Data analysis, visualization and knowledge discovery in sustainable data centers
Proceedings of the 2nd Bangalore Annual Compute Conference
Sustainable data centers: enabled by supply and demand side management
Proceedings of the 46th Annual Design Automation Conference
Proceedings of the 7th ACM international conference on Computing frontiers
Opportunities and challenges to unify workload, power, and cooling management in data centers
Proceedings of the Fifth International Workshop on Feedback Control Implementation and Design in Computing Systems and Networks
A cyber-physical systems approach to energy management in data centers
Proceedings of the 1st ACM/IEEE International Conference on Cyber-Physical Systems
Opportunities and challenges to unify workload, power, and cooling management in data centers
ACM SIGOPS Operating Systems Review
Lightning: self-adaptive, energy-conserving, multi-zoned, commodity green cloud storage system
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Modelling of staged routing for reduced carbon footprints of large server clusters
International Journal of Communication Networks and Distributed Systems
GreenHDFS: towards an energy-conserving, storage-efficient, hybrid Hadoop compute cluster
HotPower'10 Proceedings of the 2010 international conference on Power aware computing and systems
The PowerNap Server Architecture
ACM Transactions on Computer Systems (TOCS)
Proceedings of the 38th annual international symposium on Computer architecture
ThermoCast: a cyber-physical forecasting model for datacenters
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A 'cool' load balancer for parallel applications
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
Temperature, Power, and Makespan Aware Dependent Task Scheduling for Data Centers
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
Semi-automated data center hotspot diagnosis
Proceedings of the 7th International Conference on Network and Services Management
DreamWeaver: architectural support for deep sleep
ASPLOS XVII Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems
Evolutionary multiobjective optimization for green clouds
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Towards a net-zero data center
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Energy-Efficient Thermal-Aware Autonomic Management of Virtualized HPC Cloud Infrastructure
Journal of Grid Computing
T: a data-centric cooling energy costs reduction approach for big data analytics cloud
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Towards greener data centers with storage class memory
Future Generation Computer Systems
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Data center costs for computer power and cooling are staggering. Because certain physical locations inside the data center are more efficient to cool than others, this suggests that allocating heavy computational workloads onto those servers that are in more efficient places might bring substantial savings. This simple idea raises two critical research questions that we address: (1) How should one measure and rank the cooling efficiency of different places in a data center? (2) How substantial is the savings? We performed a set of experiments in a thermally isolated portion of a real data center, and validated that the potential savings is substantial and therefore warrants further work in this area to exploit the savings opportunity.