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JCR Impact Factor: 0.699
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  4/2011 - 7

An Optimal Initial Partitioning of Large Data Model in Utility Management Systems

CAPKO, D. See more information about CAPKO, D. on SCOPUS See more information about CAPKO, D. on IEEExplore See more information about CAPKO, D. on Web of Science, ERDELJAN, A. See more information about  ERDELJAN, A. on SCOPUS See more information about  ERDELJAN, A. on SCOPUS See more information about ERDELJAN, A. on Web of Science, POPOVIC, M. See more information about  POPOVIC, M. on SCOPUS See more information about  POPOVIC, M. on SCOPUS See more information about POPOVIC, M. on Web of Science, SVENDA, G. See more information about SVENDA, G. on SCOPUS See more information about SVENDA, G. on SCOPUS See more information about SVENDA, G. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (608 KB) | Citation | Downloads: 1,023 | Views: 2,959

Author keywords
partitioning algorithms, SCADA systems, power system management, load flow, parallel processing

References keywords
partitioning(10), parallel(8), computing(6), graph(5), systems(4), power(4), multilevel(4), ipdps(4), graphs(4), distributed(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 41 - 46
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04007
Web of Science Accession Number: 000297764500007
SCOPUS ID: 84856622601

Abstract
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Modern Utility Management Systems which utilize multiprocessor systems for efficient processing of large data model are considered in this paper. The necessary preconditions for the efficient calculation are optimal load balancing of processors and data model partitioning among processors. The novel multilevel Super-Roots (SR) algorithm was developed to improve existing algorithms (e. i. METIS) for initial partitioning of data model. The proposed algorithms are applied on data model describing large electricity power distribution network. Experiments show that SR algorithm achieves better results than METIS multilevel algorithm in many cases.


References | Cited By  «-- Click to see who has cited this paper

[1] Utility Management Systems (UMS) Data Access Facility DAF, OMG Specification, Version 2.0.1, 2005.

[2] M. Craus, C. Bulancea, "Using Agent Technology Combined with ACO Metaheuristics on Load Balancing Algorithms", Advances in Electrical and Computer Engineering, vol. 4, no. 2, pp. 55-59, 2004.

[3] K. Schloegel, G. Karypis, V. Kumar, "Graph Partitioning for High Performance Scientific Simulations", Technical Report, University of Minesota, 2000.

[4] B. Henderson, T. G. Kolda, "Graph partitioning models for parallel computing", Parallel Computing, vol. 26, no. 12, pp. 1519-1534, 2000.
[CrossRef] [Web of Science Times Cited 163]


[5] M. R. Garey, D. S. Johnson, "Computers and Intractability: A Guide to the Theory of NP-Completeness", W.H.Freeman, San Francisco, 1979.

[6] B. W. Kernighan, S. Lin, "An efficient heuristic procedure for partitioning graphs", The Bell System Technical Journal, vol. 49, no. 2, pp. 291-307, 1970.

[7] C. M. Fiduccia, R. M. Mattheyses, "A linear time heuristic for improving network partitions", In: Proc. 19th IEEE Design Automation Conference, pp. 175-181, 1982.
[CrossRef] [SCOPUS Times Cited 1203]


[8] G. Karypis, V. Kumar, "A fast and high quality multilevel scheme for partitioning irregular graphs", SIAM Journal of Scientific Computing, vol. 20, no. 1, pp. 359-392, 1998.
[CrossRef] [Web of Science Times Cited 1710] [SCOPUS Times Cited 2419]


[9] Henderson, B., Leland, R., "A Multilevel Algorithm for Partitioning Graphs", Proceedings of ACM/IEEE conference on Supercomputing, San Diego, 1995.
[CrossRef]


[10] C. Walshaw, M. Cross, "JOSTLE: Parallel Multilevel Graph-Partitioning Software - An Overview". In F. Magoules, editor, Mesh Partitioning Techniques and Domain Decomposition Techniques, pp. 27-58, Civil-Comp Ltd, 2007.

[11] F. Pellegrini, J. Roman, "SCOTCH: A software package for static mapping by dual recursive bipartitioning of process and architecture graphs", HPCN-Europe, Springer LNCS 1067, pp. 493-498, 1996.
[CrossRef]


[12] H. Meyerhenke, B. Monien, S. Schamberger, "Accelerating shape optimizing load balancing for parallel FEM simulations by algebraic multigrid", In Proc.20th Intl. Parallel and Distributed Processing Symposium (IPDPS'06). IEEE, 2006.
[CrossRef] [SCOPUS Times Cited 20]


[13] Cybenko, G., "Dynamic load balancing for distributed memory multiprocessors", Journal of Parallel and Distributed Computing., vol. 7, no. 2, pp. 279-301, 1989.
[CrossRef] [Web of Science Times Cited 471] [SCOPUS Times Cited 609]


[14] H. Meyerhenke, B Monien, T. Sauerwald, "A new diffusion-based multilevel algorithm for computing graph partitions of very high quality", In: Proceedings of the 22nd International Parallel and Distributed Processing Symposium (IPDPS'08), IEEE Computer Society, pp. 1-13, 2008.
[CrossRef] [SCOPUS Times Cited 25]


[15] IEC 61970 Energy management system application program interface (EMS-API) - Part 301: Common Information Model (CIM) Base, IEC, Edition 2.0, 2007.

[16] D. Capko, A. Erdeljan, M. Popovic, G. Svenda, "An Optimal Relationship-Based Partitioning of Large Datasets", 14th East-European Conference on Advances in Databases and Information Systems, Novi Sad, Serbia, 2010.

[17] C. Godsil, G. Royle, Algebraic Graph Theory, Springer Verlag, 2001.
[CrossRef]


[18] A. Grama, A. Gupta, G. Karypis, V. Kumar, Introduction to Parallel Computing, Second Edition, Addison Wesley, 2003.

[19] R. E. Korf, "A Complete Anytime Algorithm for Number Partitioning", Artificial Intelligence, vol.106, no. 2, pp.181-203, 1998.
[CrossRef] [Web of Science Times Cited 54] [SCOPUS Times Cited 77]


[20] R. E. Korf, "Multi-Way Number Partitioning", International Joint Conference on Artificial Intelligence, Pasadena, California, US, 2009.

[21] M. Popovic, I. Basicevic, V. Vrtunski, "A Task Tree Executor: New Runtime for Parallelized Legacy Software", 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems, ECBS 2009, San Francisco, USA, 2009.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 13]


[22] D. Shirmohammadi, H. W. Hong, A. Semlyen, G. X. Luo, "A Compensation-Based Power Flow Method For Weakly Meshed Distribution And Transmission Networks", IEEE Transactions on Power Systems, vol. 3, no. 2, pp. 753-762, 1988.
[CrossRef] [Web of Science Times Cited 509] [SCOPUS Times Cited 718]


[23] B. Allaoua, A. Laoufi, "Optimal Power Flow Solution Using Ant Manners for Electrical Network", Advances in Electrical and Computer Engineering, vol. 9, no. 2, pp. 34-40, 2009.
[CrossRef] [Full Text] [Web of Science Times Cited 19] [SCOPUS Times Cited 23]


[24] G. Grigoras, G. Cartina, E. C. Bobric, "Strategies for Power/Energy Saving in Distribution Networks", Advances in Electrical and Computer Engineering, vol. 9, no.1, pp. 61-64, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 8]


References Weight

Web of Science® Citations for all references: 2,934 TCR
SCOPUS® Citations for all references: 5,115 TCR

Web of Science® Average Citations per reference: 122 ACR
SCOPUS® Average Citations per reference: 213 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2018-10-14 07:04 in 103 seconds.




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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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