Minimizing data center cooling and server power costs
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
Computer Networks: The International Journal of Computer and Telecommunications Networking
Thermal aware server provisioning and workload distribution for internet data centers
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Guest Editorial: Current Trends in Low-Power Design
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Temperature-aware dynamic resource provisioning in a power-optimized datacenter
Proceedings of the Conference on Design, Automation and Test in Europe
Model-driven coordinated management of data centers
Computer Networks: The International Journal of Computer and Telecommunications Networking
Journal of Network and Computer Applications
OSGi-based services architecture for Cyber-Physical Home Control Systems
Computer Communications
DENS: Data Center Energy-Efficient Network-Aware Scheduling
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
Multi-Objective Virtual Machine Placement in Virtualized Data Center Environments
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
A multi-objective approach to virtual machine management in datacenters
Proceedings of the 8th ACM international conference on Autonomic computing
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
Regression-based resource provisioning for session slowdown guarantee in multi-tier Internet servers
Journal of Parallel and Distributed Computing
An adaptive model-free resource and power management approach for multi-tier cloud environments
Journal of Systems and Software
Energy efficient utilization of resources in cloud computing systems
The Journal of Supercomputing
ACM Transactions on Architecture and Code Optimization (TACO)
Self-Optimization and Self-Stabilization in Autonomic Clouds
Concurrency and Computation: Practice & Experience
Leveraging Heterogeneity for Energy Minimization in Data Centers
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Optimal Reconfiguration of the Cloud Network for Maximum Energy Savings
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
A Unified Methodology for Scheduling in Distributed Cyber-Physical Systems
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on CAPA'09, Special Section on WHS'09, and Special Section VCPSS' 09
The Journal of Supercomputing
Mean-Field analysis of markov models with reward feedback
ASMTA'12 Proceedings of the 19th international conference on Analytical and Stochastic Modeling Techniques and Applications
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
Energy usage and carbon emission optimization mechanism for federated data centers
E2DC'12 Proceedings of the First international conference on Energy Efficient Data Centers
Review of performance metrics for green data centers: a taxonomy study
The Journal of Supercomputing
DENS: data center energy-efficient network-aware scheduling
Cluster Computing
Multi-objective virtual machine selection for migrating in virtualized data centers
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Thermal camera networks for large datacenters using real-time thermal monitoring mechanism
The Journal of Supercomputing
Thermal Modeling of Hybrid Storage Clusters
Journal of Signal Processing Systems
State-of-the-art research study for green cloud computing
The Journal of Supercomputing
Network-aware virtual machine consolidation for large data centers
NDM '13 Proceedings of the Third International Workshop on Network-Aware Data Management
GDCSim: A simulator for green data center design and analysis
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on simulation in complex service systems
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High Performance Computing data centers have been rapidly growing, both in number and in size. Thermal management of data centers can address dominant problems associated with cooling such as the recirculation of hot air from the equipment outlets to their inlets, and the appearance of hot spots. In this paper, we are looking into assigning the incoming tasks to machines of a data center in such a way so as to affect the heat recirculation and make cooling more efficient. Using a low complexity linear heat recirculation model, we formulate the problem of minimizing the peak inlet temperature within a data center through task assignment, consequently leading to minimal cooling power consumption. We also provide two methods to solve the formulation, one that uses a genetic algorithm and the other that uses sequential quadratic programming. We show through formalization that minimizing the peak inlet temperature allows for the lowest cooling power needs. Results from a simulated, small-scale data center show that solving the formulation leads to an inlet temperature distribution that is 2 °C to 5 °C lower compared to other approaches, and achieves about 20%-30% cooling energy savings at moderate data center utilization rates. Moreover, our algorithms consistently outperform MinHR, a recirculation-reducing placement algorithm in the literature.