Computer Networks: The International Journal of Computer and Telecommunications Networking
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
Opportunities and challenges to unify workload, power, and cooling management in data centers
ACM SIGOPS Operating Systems Review
GentleCool: cooling aware proactive workload scheduling in multi-machine systems
Proceedings of the Conference on Design, Automation and Test in Europe
Cool and save: cooling aware dynamic workload scheduling in multi-socket CPU systems
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
An Analysis of Power Consumption Logs from a Monitored Grid Site
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
Cooling-aware workload placement with performance constraints
Performance Evaluation
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
Thermal Modeling of Hybrid Storage Clusters
Journal of Signal Processing Systems
CoMETC: Coordinated management of energy/thermal/cooling in servers
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Power consumption estimation of CPU and peripheral components in virtual machines
ACM SIGAPP Applied Computing Review
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The thermal environment of data centers plays a significant role in affecting the energy efficiency and the reliability of data center operation. A dominant problem associated with cooling data centers is the recirculation of hot air from the equipment outlets to their inlets, causing the appearance of hot spots and an uneven inlet temperature distribution. Heat is generated due to the execution of tasks, and it varies according to the power profile of a task. We are looking into the prospect of assigning the incoming tasks around the data center in such a way so as to make the inlet temperatures as even as possible; this will allow for considerable cooling power savings. Based on our previous research work on characterizing the heat recirculation in terms of cross-interference coefficients, we propose a task scheduling algorithm for homogeneous data centers, called XInt, that minimizes the inlet temperatures, and leads to minimal heat recirculation and minimal cooling energy cost for data center operation. We verify, through both theoretical formalization and simulation, that minimizing heat recirculation will result in the best cooling energy efficiency. XInt leads to an inlet temperature distribution that is 2°C to 5°C lower than other approaches, and achieves about 20%–30% energy savings at moderate data center utilization rates. XInt also consistently achieves the best energy efficiency compared to another recirculation minimized algorithm, MinHR.