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Temporal data mining approaches for sustainable chiller management in data centers

Debprakash Patnaik, Manish Marwah, Ratnesh K. Sharma, Naren Ramakrishnan
2011 ACM Transactions on Intelligent Systems and Technology  
We describe the design and implementation of CAMAS (Chiller Advisory and MAnagement System), a temporal data mining solution to mine and manage chiller installations.  ...  operating regions and features needed for an operator to efficiently manage the data center.  ...  We present CAMAS (Chiller Advisory and MAnagement System), a temporal data mining solution to mine and manage chiller installations.  ... 
doi:10.1145/1989734.1989738 fatcat:oxaa2wpncnhjjev32kesxg6wgu

Sustainable operation and management of data center chillers using temporal data mining

Debprakash Patnaik, Manish Marwah, Ratnesh Sharma, Naren Ramakrishnan
2009 Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '09  
Results: We present a temporal data mining solution to model and optimize performance of data center chillers, a key component of the cooling infrastructure.  ...  This system is currently being prototyped for a data center managed by HP and experimental results from this application reveal the promise of our approach.  ...  The authors also wish to thank Mohandas Mekanapurath and Vaibhav Bhatia for their support in data collection from a production data center environment.  ... 
doi:10.1145/1557019.1557159 dblp:conf/kdd/PatnaikMSR09 fatcat:qx5m2g3n3zezjpodahefimgs54

Visualizing frequent patterns in large multivariate time series

M. Hao, M. Marwah, H. Janetzko, R. Sharma, D. A. Keim, U. Dayal, D. Patnaik, N. Ramakrishnan
2011 Visualization and Data Analysis 2011  
To find frequent motifs, we use several temporal data mining and event encoding techniques to cluster and convert a multivariate time series to a sequence of events.  ...  We have applied these methods to two real-world data sets: data center cooling and oil well production. The results provide important new insights into the recurring patterns.  ...  Hsu for their suggestions and encouragement, and Cullen Bash for providing comments and suggestions.  ... 
doi:10.1117/12.872169 dblp:conf/vda/HaoMJSKDPR11 fatcat:hwhmc6m44vdq3cuevbcjiany7y

Temporal knowledge discovery in big BAS data for building energy management

Cheng Fan, Fu Xiao, Henrik Madsen, Dan Wang
2015 Energy and Buildings  
This paper presents a time series data mining methodology for temporal knowledge discovery in big BAS data.  ...  Meanwhile, the amount of real-time monitoring and control data in BASs grows continually in the building lifecycle, which stimulates an intense demand for powerful big data analysis tools in BASs.  ...  Patnaik et al. adopted the motif discovery technique to mine chiller operation data in data centers [31] .  ... 
doi:10.1016/j.enbuild.2015.09.060 fatcat:u2trf3k4sfgfhbyqupxlwqqmt4

Application of Visual Analytics for Thermal State Management in Large Data Centres

M. C. Hao, R. K. Sharma, D. A. Keim, U. Dayal, C. Patel, R. Vennelakanti
2010 Computer graphics forum (Print)  
In order to optimize the data center cooling system performance, we derive new non-overlapped scatter plots to visualize the correlations between the temperatures and chiller utilization.  ...  Today's large data centers are the computational hubs of the next generation of IT services.  ...  Acknowledgements The authors wish to thank Meichun Hsu for her encouragement, and thank Manish Marwah and Cullen E. Bash for providing comments and suggestions.  ... 
doi:10.1111/j.1467-8659.2010.01657.x fatcat:bn23xutqw5hs7iylzszt3cefzi

Sustainable Ecosystems: Enabled by Supply and Demand Management [chapter]

Chandrakant D. Patel
2011 Lecture Notes in Computer Science  
This paper presents a systemic framework for supply-demand management in IT-in particular, on building sustainable data centers-and suggests how the approach can be extended to manage resources at the  ...  The necessary transformation can be enabled by a sustainable IT ecosystem made up of billions of service-oriented client devices and thousands of data centers.  ...  Integrated Supply-Demand Management of Sustainable Data Centers IT As an example, data mining techniques have been explored for more efficient operation of an ensemble of chillers [23] [34] .  ... 
doi:10.1007/978-3-642-17679-1_2 fatcat:d4ks26as6rbf7kfkinogl7z67y

Mining typical load profiles in buildings to support energy management in the smart city context

Alfonso Capozzoli, Marco Savino Piscitelli, Silvio Brandi
2017 Energy Procedia  
Mining typical load profiles in buildings to drive energy management strategies is a fundamental task to be addressed in a smart city environment.  ...  Several implications related to energy profiling in buildings, including tariff design, demand side management and advanced energy diagnosis are discussed.  ...  Acknowledgements The authors express their gratitude to Living Lab of Politecnico di Torino for providing data for the case study presented in this work.  ... 
doi:10.1016/j.egypro.2017.09.545 fatcat:mm522zxdzncvpayrtfh6bd7xja

Data Driven Chiller Plant Energy Optimization with Domain Knowledge

Hoang Dung Vu, Kok Soon Chai, Bryan Keating, Nurislam Tursynbek, Boyan Xu, Kaige Yang, Xiaoyan Yang, Zhenjie Zhang
2017 Proceedings of the 2017 ACM on Conference on Information and Knowledge Management - CIKM '17  
The explosive growth of data flowing to databases, driven by the increasing analytical power by machine learning and data mining, unveils new possibilities of data-driven approaches for real-time chiller  ...  In recent years, new generation of sensors is becoming essential part of new chiller plants, for the first time allowing the system administrators to continuously monitor the running status of all equipments  ...  DeepMind [1], for example, is a empting to optimize the power for cooling service in Google's data centers, based on the pa erns of energy consumption linked to running status of the machines in the data  ... 
doi:10.1145/3132847.3132860 dblp:conf/cikm/VuCKTXYYZ17 fatcat:t7uqu3kgsvbotionewfz4xjavq

Predictive Maintenance 4.0 for Chilled Water System at Commercial Buildings: A Systematic Literature Review

Malek Almobarek, Kepa Mendibil, Abdalla Alrashdan
2022 Buildings  
Predictive maintenance plays an important role in managing commercial buildings.  ...  The research gaps are explained in this article and are related to three parts, which are faults description and handling, data collection and frequency, and the coverage of the proposed maintenance programs  ...  In addition, a big thanks goes to O&M Manager at Alfaisal University (Eng. Kaleemoddin Ahmed) for his great assistance during this research.  ... 
doi:10.3390/buildings12081229 fatcat:lsff7j72inexxkwcuxx6kqcrr4

A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management

Zhikun Ding, Rongsheng Liu, Zongjie Li, Cheng Fan
2020 Energies  
This article proposes a text mining-based approach for the automatic identification of major research trends in the field of building energy management.  ...  Rather than relying on manual inspections, advanced data analytics (such as text mining) can be used to enhance the efficiency and effectiveness in literature reviews.  ...  The resulting numbers of articles in each data partition are summarized in Table 1 . It should be noted that such an approach is a rather subjective way for data partitioning.  ... 
doi:10.3390/en13184621 fatcat:lpimuy3gx5drlg66jgvcjyeypy

Research advances on AI-powered thermal management for data centers

Hui Liu, AbdusSalam Aljbri, Jie Song, Jinqing Jiang, Chun Hua
2022 Tsinghua Science and Technology  
Data center models, including cooling, thermal, power, and workload models, and their relationship are factors that need to be understood in the optimal thermal management system.  ...  Given the complex nature of data centers' thermal management, which costs too many resources, processing time, and energy consumption, thermal awareness and thermal management powered by artificial intelligence  ...  His current research interests include sustainable computing and machine learning.  ... 
doi:10.26599/tst.2021.9010019 fatcat:yx7iv6q5erfwlepvzqdzac2rnm

Technological drivers in data centers and telecom systems: Multiscale thermal, electrical, and energy management

Suresh V. Garimella, Tim Persoons, Justin Weibel, Lian-Tuu Yeh
2013 Applied Energy  
Thermal Management in Telecommunication Systems and Data Centers in Santa Clara, California, on April 25-26, 2012.  ...  We identify technological drivers for tomorrow's data centers and telecommunications systems, including thermal, electrical and energy management challenges, based on discussions at the 2nd Workshop on  ...  Acknowledgements The authors gratefully acknowledge the contributions of the participants and speakers at the 2nd Workshop on Thermal Management in Telecommunication Systems and Data Centers in Santa Clara  ... 
doi:10.1016/j.apenergy.2013.02.047 fatcat:ngvnfbc66fgz5dt25646v7izfm

Challenges and complexities in application of LCA approaches in the case of ICT for a sustainable future

Reza Farrahi Moghaddam, Fereydoun Farrahi Moghaddam, Thomas Dandres, Yves Lemieux, Rejean Samson, Mohamed Cheriet
2014 Proceedings of the 2014 conference ICT for Sustainability  
With examples from an interconnected network of data centers managed using Dynamic Voltage and Frequency Scaling (DVFS) technology and smart cooling systems, it is shown that the unadjusted assessments  ...  Finally, the impact of smart management and intelligence, and in general software, in ICT solutions and products is highlighted.  ...  ACKNOWLEDGMENT The authors thank the NSERC of Canada for their financial support under Grant CRDPJ 424371-11 and also under the Canada Research Chair in Sustainable Smart Eco-Cloud.  ... 
doi:10.2991/ict4s-14.2014.19 dblp:conf/ict4s/MoghaddamMDLSC14 fatcat:5i2qllo2ofdnngmogj2jfyrnvm

Challenges and complexities in application of LCA approaches in the case of ICT for a sustainable future [article]

Reza Farrahi Moghaddam, Fereydoun Farrahi Moghaddam, Thomas Dandres, Yves Lemieux, Réjean Samson, Mohamed Cheriet
2014 arXiv   pre-print
With examples from an interconnected network of data centers managed using Dynamic Voltage and Frequency Scaling (DVFS) technology and smart cooling systems, it is shown that the unadjusted assessments  ...  Finally, the impact of smart management and intelligence, and in general software, in ICT solutions and products is highlighted.  ...  ACKNOWLEDGMENT The authors thank the NSERC of Canada for their financial support under Grant CRDPJ 424371-11 and also under the Canada Research Chair in Sustainable Smart Eco-Cloud.  ... 
arXiv:1403.2798v3 fatcat:6qvozx5h25biximm2trzlyps5a

Energy-price-driven query processing in multi-center web search engines

Enver Kayaaslan, B. Barla Cambazoglu, Roi Blanco, Flavio P. Junqueira, Cevdet Aykanat
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
Based on the observation that energy prices and query workloads show high spatio-temporal variation, we propose a technique that dynamically shifts the query workload of a search engine between its data  ...  This work takes the challenge to reduce the electric bill of commercial web search engines operating on data centers that are geographically far apart.  ...  [21] try to optimize the workload, power, and cooling management of a single data center.  ... 
doi:10.1145/2009916.2010047 dblp:conf/sigir/KayaaslanCBJA11 fatcat:s2abbxa4brgrdbcwe7wiwkw7ay
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