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Publications (10 of 17) Show all publications
Berezovskaya, Y., Yang, C.-W., Mousavi, A., Zhang, X. & Vyatkin, V. (2019). A hybrid fault detection and diagnosis method in server rooms’ cooling systems. In: : . Paper presented at 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019.
Open this publication in new window or tab >>A hybrid fault detection and diagnosis method in server rooms’ cooling systems
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2019 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Data centers as all complex systems are prone to faults, and cost of them can be very high. This paper is focused on detecting the faults in the cooling systems, in particular on local fans level. In the paper, a hybrid approach is proposed. In the approach a model is used as substitute of the real system to generate dataset containing records of both normal and fault cases. On the generated data, machine learning algorithm or ensemble of algorithms are selected and trained to detect the faults. To demonstrate the approach, the rack model of real data center is created, and reliability of the model is shown. Using the model, the dataset with normal as well as abnormal records of data is generated. To detect faults of local fans, simple classifiers are built for all pairs: a local fan – a processor unit. Classifiers are trained on one part of generated data (training data), and then their accuracy is estimated on another part of generated data (test data). A real-time fault detection system is built based on the classifiers. The rack model is used as the substitute of the real plant to check operability of the system.

National Category
Communication Systems
Identifiers
urn:nbn:se:ltu:diva-75445 (URN)
Conference
2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019
Available from: 2019-08-08 Created: 2019-08-08 Last updated: 2019-08-08
Berezovskaya, Y., Mousavi, A. & Vyatkin, V. (2018). Smart distribution of IT load in energy efficient data centers with focus on cooling systems. In: IECON 2018: 44th Annual Conference of the IEEE Industrial Electronics Society. Paper presented at 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, October 21-23 2018, Washington D.C., USA..
Open this publication in new window or tab >>Smart distribution of IT load in energy efficient data centers with focus on cooling systems
2018 (English)In: IECON 2018: 44th Annual Conference of the IEEE Industrial Electronics Society, 2018Conference paper, Published paper (Refereed)
Identifiers
urn:nbn:se:ltu:diva-73023 (URN)10.1109/IECON.2018.8591122 (DOI)2-s2.0-85061559519 (Scopus ID)
Conference
44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, October 21-23 2018, Washington D.C., USA.
Available from: 2019-02-26 Created: 2019-02-26 Last updated: 2019-02-26
Zhang, X., Lindberg, T., Xiong, N., Vyatkin, V. & Mousavi, A. (2017). Cooling Energy Consumption Investigation of Data Center IT Room with Vertical Placed Server. Paper presented at 8th International Conference on Applied Energy, ICAE2016, Beijing, China, 8-11 October 2016. Energy Procedia, 105, 2047-2052
Open this publication in new window or tab >>Cooling Energy Consumption Investigation of Data Center IT Room with Vertical Placed Server
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2017 (English)In: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 105, p. 2047-2052Article in journal (Refereed) Published
Abstract [en]

As energy consumption by cooling data center IT equipment can be over 40% of total energy consumption, efficient cooling for large data centers is essential for reducing operation costs. Modern data centers are complex systems involving IT facilities, power system, cooling and ventilation systems. In our previous work, literature study was made to investigate available data center energy consumption models; and energy consumption models for data center IT room with distributed air flow control were developed. In this paper, the models are further extended and developed to cover the combined distributed air flow control and vertical placed servers in raised floor ventilation system. Simulation of the three types of ventilation systems with Even load, Idle server and Uneven load scenarios showed that significant cooling energy consumed by a traditional ventilation system can be saved by applying the proposed new concept and method.

Place, publisher, year, edition, pages
Elsevier, 2017
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-63735 (URN)10.1016/j.egypro.2017.03.581 (DOI)000404967902024 ()2-s2.0-85020733801 (Scopus ID)
Conference
8th International Conference on Applied Energy, ICAE2016, Beijing, China, 8-11 October 2016
Note

2017-06-05 (andbra);Konferensartikel i tidskrift

Available from: 2017-06-05 Created: 2017-06-05 Last updated: 2018-06-20Bibliographically approved
Mousavi, A., Berezovskaya, Y., Vyatkin, V., Zhang, X. & Minde, T. B. (2016). Improvement of Energy Efficiency in Data Centers via Flexible Humidity Control. In: IECON Proceedings (Industrial Electronics Conference): . Paper presented at 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24-27 October 2016 (pp. 5585-5590). Piscataway, NJ: IEEE Computer Society, Article ID 7793777.
Open this publication in new window or tab >>Improvement of Energy Efficiency in Data Centers via Flexible Humidity Control
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2016 (English)In: IECON Proceedings (Industrial Electronics Conference), Piscataway, NJ: IEEE Computer Society, 2016, p. 5585-5590, article id 7793777Conference paper, Published paper (Refereed)
Abstract [en]

Abstract- The main goal of climate control systems in data centres is to keep the temperature and humidity in a suitable level for computational devices. Therefore, cooling and humidification systems are essential parts of every Building Automation System (BAS), which is utilized in server rooms. Although the current climate control systems ensure appropriate thermal conditions to computational nodes such as servers, they waste substantial amount of energy. The main cause of this inefficiency is that the current climate control systems, which are responsible for thermal management of the data centres, follow rigid control strategies that maintain constant thermal conditions irrespective of climate changes caused by various computational loads in the plant. To address this issue, in our previous works we proposed a method of optimizing energy consumption in data centre cooling systems while maintaining an acceptable level of thermal comfort for CPUs in the server room. In this paper, we present the enhancement of our previous method by incorporating humidity control into it. The enhanced method consists of a thermal model of server room, and a simulation tool to find an energy efficient control strategy for the climate control system in different situations by comparing different control strategies. The effectiveness of the proposed method has been investigated via simulation and the result, which shows 41.5% reduction in total energy consumption is presented.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Computer Society, 2016
Series
IEEE Industrial Electronics Society, ISSN 1553-572X
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-61576 (URN)10.1109/IECON.2016.7793777 (DOI)000399031205143 ()2-s2.0-85010042111 (Scopus ID)9781509034741 (ISBN)
Conference
42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24-27 October 2016
Projects
SAVESENDATE-EXTEND
Funder
Swedish Energy Agency, 381143Vinnova, 3811426
Available from: 2017-01-22 Created: 2017-01-22 Last updated: 2019-08-27Bibliographically approved
Mousavi, A., Vyatkin, V., Berezovskaya, Y. & Zhang, X. (2015). Cyber-physical Design of Data Centers Cooling Systems Automation (ed.). In: (Ed.), IEEE TrustCom-BigDataSE-ISPA 2015: Helsinki, 20-22 Aug. 2015. Paper presented at IEEE TrustCom-BigDataSE-ISPA : 20/08/2015 - 22/08/2015 (pp. 254-260). Piscataway, NJ: IEEE Communications Society, Article ID 7345657.
Open this publication in new window or tab >>Cyber-physical Design of Data Centers Cooling Systems Automation
2015 (English)In: IEEE TrustCom-BigDataSE-ISPA 2015: Helsinki, 20-22 Aug. 2015, Piscataway, NJ: IEEE Communications Society, 2015, p. 254-260, article id 7345657Conference paper, Published paper (Refereed)
Abstract [en]

Modern data centers in many aspects are akin to industrial plants that generate a lot of heat by consuming substantial amount of energy and require powerful cooling and ventilation. Cooling system contributes with 30 to 50% of the total energy consumption of data centers. An effective way to address energy efficiency in such cooling systems is to apply advanced automation solutions, similar to that of industrial and building automation systems. However, existing automation solutions are not flexible enough to meet requirements of cooling systems in modern data centres. This paper is an endeavour to utilize distributed adaptive automation architecture in order to improve energy efficiency of cooling. The proposed automation algorithms are validated in a simulation environment which models the thermal behaviour of a server room and helps to find the most energy efficient control strategy for controlling thecooling devices. This paper describes the simulation tool comprising of thermal behaviour modelling in MATLAB/SIMULINK connected in closed-loop with the distributed control environment of IEC 61499 standard. Simulation of a typical server room under certain constraints using the proposed tool is described and the results are presented. The results demonstrate the potential of improving higher energy efficiency, flexibility and better decision-making ability for controlling the cooling systems.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-30334 (URN)10.1109/Trustcom.2015.641 (DOI)000380431400036 ()2-s2.0-84969256356 (Scopus ID)418cc6b2-bfbb-4347-b789-8e5d78ce322b (Local ID)9781467379519 (ISBN)418cc6b2-bfbb-4347-b789-8e5d78ce322b (Archive number)418cc6b2-bfbb-4347-b789-8e5d78ce322b (OAI)
Conference
IEEE TrustCom-BigDataSE-ISPA : 20/08/2015 - 22/08/2015
Note

Validerad; 2016; Nivå 1; 2016-10-11 (andbra)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Mousavi, A. & Vyatkin, V. (2015). Energy Efficient Agent Function Block: A semantic agent approach to IEC 61499 function blocks in energy efficient building automation systems (ed.). Paper presented at . Automation in Construction, 54, 127-142
Open this publication in new window or tab >>Energy Efficient Agent Function Block: A semantic agent approach to IEC 61499 function blocks in energy efficient building automation systems
2015 (English)In: Automation in Construction, ISSN 0926-5805, E-ISSN 1872-7891, Vol. 54, p. 127-142Article in journal (Refereed) Published
Abstract [en]

Automation plays a vital role in improving energy efficiency in buildings. Building Automation Systems (BASs) are drastically growing in size and complexity. The traditional centralized automation systems cannot suitably address this growth due to insufficient flexibility and scalability. IEC 61499 Function Block (FB) is a promising software paradigm for industrial automation that addresses these complexities because of its object-oriented, event-driven and distributed paradigm. However, efficient energy management in a heterogeneous system comprising of many energy consuming components, functioning in highly dynamic and partially predictable environments, requires a higher level of intelligence that FB currently does not possess. To cope with this issue, a software entity called 2eA-FB has been introduced by combining FB, intelligent software agent and semantic web technologies. Being capable of field-level control, communication and reasoning over semantically enriched domain knowledge, 2eA-FB bridges the gap between management and automation layers of BAS and controls the energy consumption for individual energy consuming components, separately and intelligently. This in turn results in more efficient overall energy consumption for the whole system

National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-6579 (URN)10.1016/j.autcon.2015.03.007 (DOI)000353857400011 ()2-s2.0-84926505202 (Scopus ID)4d2a320f-8647-487f-88b1-6f53acc45ca0 (Local ID)4d2a320f-8647-487f-88b1-6f53acc45ca0 (Archive number)4d2a320f-8647-487f-88b1-6f53acc45ca0 (OAI)
Note
Validerad; 2015; Nivå 2; 20150413 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Kleyko, D., Osipov, E., Papakonstantinou, N., Vyatkin, V. & Mousavi, A. (2015). Fault Detection in the Hyperspace: Towards Intelligent Automation Systems (ed.). In: (Ed.), (Ed.), IEEE International Conference on Industrial Informatics: INDIN 2015, Cambridge, UK, July 22-24, 2015. Proceedings. Paper presented at IEEE International Conference on Industrial Informatics : 22/07/2015 - 24/07/2015 (pp. 1219-1224). Piscataway, NJ: IEEE Communications Society, Article ID 7281909.
Open this publication in new window or tab >>Fault Detection in the Hyperspace: Towards Intelligent Automation Systems
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2015 (English)In: IEEE International Conference on Industrial Informatics: INDIN 2015, Cambridge, UK, July 22-24, 2015. Proceedings, Piscataway, NJ: IEEE Communications Society, 2015, p. 1219-1224, article id 7281909Conference paper, Published paper (Refereed)
Abstract [en]

This article presents a methodology for intelligent, biologically inspired fault detection system for generic complex systems of systems. The proposed methodology utilizes the concepts of associative memory and vector symbolic architectures, commonly used for modeling cognitive abilities of human brain. Compared to classical methods of artificial intelligence used in the context of fault detection the proposed methodology shows an unprecedented performance, while featuring zero configuration and simple operations.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-32046 (URN)10.1109/INDIN.2015.7281909 (DOI)2-s2.0-84949512219 (Scopus ID)668a6fde-3e94-4870-a560-0ea6e83a5245 (Local ID)9781479966493 (ISBN)668a6fde-3e94-4870-a560-0ea6e83a5245 (Archive number)668a6fde-3e94-4870-a560-0ea6e83a5245 (OAI)
Conference
IEEE International Conference on Industrial Informatics : 22/07/2015 - 24/07/2015
Note
Validerad; 2016; Nivå 1; 20150522 (denkle)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Osipov, E. & Mousavi, A. (2015). How to make a distributed programming course a big fun (ed.). Paper presented at IEEE Frontiers in Education : 22/10/2014 - 25/10/2014. Frontiers in Education Conference, Conference Proceedings
Open this publication in new window or tab >>How to make a distributed programming course a big fun
2015 (English)In: Frontiers in Education Conference, Conference Proceedings, ISSN 1539-4565Article in journal (Refereed) Published
Abstract [en]

This article presents experiences of teachers from Luleâ University of Technology when enhancing the teaching approach and depth of an undergraduate course on network programming and distributed applications. During the trial run of the course in the fall of 2013 agent-oriented programming and cloud technologies were married to provide students an exciting practical scenario and capability to test the performance of truly large scale distributed systems under extremely high traffic loads.

National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-27022 (URN)10.1109/FIE.2014.7044327 (DOI)2-s2.0-84938151338 (Scopus ID)05380b9d-ca9d-4436-8c21-75d0229a5f69 (Local ID)05380b9d-ca9d-4436-8c21-75d0229a5f69 (Archive number)05380b9d-ca9d-4436-8c21-75d0229a5f69 (OAI)
Conference
IEEE Frontiers in Education : 22/10/2014 - 25/10/2014
Note

Godkänd; 2015; 20141219 (eao); Konferensartikel i tidskrift

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Yang, C.-W., Vyatkin, V., Mousavi, A. & Dubinin, V. N. (2015). On Automatic Generation of IEC61850/IEC61499 Substation Automation Systems Enabled by Ontology (ed.). In: (Ed.), (Ed.), IECON 2014: 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA , Oct. 29 2014 - Nov. 1 2014. Paper presented at Annual Conference of the IEEE Industrial Electronics Society : 29/10/2014 - 01/11/2014 (pp. 3577-3583). Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>On Automatic Generation of IEC61850/IEC61499 Substation Automation Systems Enabled by Ontology
2015 (English)In: IECON 2014: 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA , Oct. 29 2014 - Nov. 1 2014, Piscataway, NJ: IEEE Communications Society, 2015, p. 3577-3583Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an introductory step in theautomatic generation of distributed control software for powerdistribution automation systems based on Ontology DrivenEngineering enabled by industrial standards IEC61850 andIEC61499. The novelty of this approach is the ability ofautomatically generating the logical connections between thelogical nodes. The paper covers the several stages of thetransformation process, such as developing the IEC61850ontology and the ontology transformation rules. The developed IEC61850 ontology includes the logical nodes descriptions and additional contextual relations between the logical nodes which is lacking in the IEC61850 SCL configuration language. Then, the IEC61850 ontology is transformed to an existing IEC61499 ontology, adding classes of IEC61850 logical nodes as IEC61499 function blocks in the IEC61499 ontology. The means of the transformation of the ontologies is based on the eSWRL sematic web rules language, an extension to the rule language SWRL. The end result is the development of an IEC61850 ontology and a set of eSWRL rules which facilitates the ontology transformation.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-39584 (URN)10.1109/IECON.2014.7049030 (DOI)2-s2.0-84983189726 (Scopus ID)e674c38b-03be-4564-bf14-32be29c5692f (Local ID)e674c38b-03be-4564-bf14-32be29c5692f (Archive number)e674c38b-03be-4564-bf14-32be29c5692f (OAI)
Conference
Annual Conference of the IEEE Industrial Electronics Society : 29/10/2014 - 01/11/2014
Note
Validerad; 2015; Nivå 1; Bibliografisk uppgift: 1553-572X http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7048467; 20150113 (cheyan)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-07-10Bibliographically approved
Mousavi, A., Vyatkin, V., Berezovskaya, Y. & Zhang, X. (2015). Towards Energy Smart Data Centers: Simulation of Server Room Cooling System (ed.). In: (Ed.), Proceedings of 2015 IEEE 20th International Conference on Emerging Technologies & Factory Automation (ETFA 2015): Luxembourg, 8-11 Sept. 2015. Paper presented at IEEE International Conference on Emerging Technologies and Factory Automation : 08/09/2015 - 11/09/2015. Piscataway, NJ: IEEE Communications Society, Article ID 7301573.
Open this publication in new window or tab >>Towards Energy Smart Data Centers: Simulation of Server Room Cooling System
2015 (English)In: Proceedings of 2015 IEEE 20th International Conference on Emerging Technologies & Factory Automation (ETFA 2015): Luxembourg, 8-11 Sept. 2015, Piscataway, NJ: IEEE Communications Society, 2015, article id 7301573Conference paper, Published paper (Refereed)
Abstract [en]

Cooling is an extremely important process in modern data centers. Cooling systems of server rooms ensure appropriate operation conditions to IT systems, such as servers and data storage, but, on the other side, they consume a lot of energy. Current control systems, which are installed in data centers and are responsible for thermal management of the facilities, are following conservative control strategies that maintain constant thermal conditions irrespective of computer load and outside temperature, thus efficient use of energy has not been appropriately addressed by them. In this paper, a method of optimizing energy consumption while maintaining an acceptable level of thermal comfort for CPUs in the server room is proposed.In the proposed method, a behavioral thermal model for serverroom should be created first, and then thermal behavior of theserver room would be simulated under different circumstancesusing its thermal model, in order to find an optimum controlstrategy capable of retaining balance between thermal comfortand efficient use of energy. The effectiveness of the proposedmethod has been investigated via simulating a typical serverroom using MATLAB and SIMULINK and the results aredemonstrated.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015
Series
I E E E International Conference on Emerging Technologies and Factory Automation. Proceedings, ISSN 1946-0740
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-39442 (URN)10.1109/ETFA.2015.7301573 (DOI)2-s2.0-84952920349 (Scopus ID)e3588fda-c025-4cf9-9264-8efa8c16d3bf (Local ID)978-1-4673-7929-8 (ISBN)e3588fda-c025-4cf9-9264-8efa8c16d3bf (Archive number)e3588fda-c025-4cf9-9264-8efa8c16d3bf (OAI)
Conference
IEEE International Conference on Emerging Technologies and Factory Automation : 08/09/2015 - 11/09/2015
Note

Validerad; 2016; Nivå 1; 20151026 (arader)

Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-07-10Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0799-2888

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