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Sheaf Theory Approach to Distributed Applications: Analysing Heterogeneous Data in Air Traffic Monitoring

Received: 6 September 2017     Accepted: 23 September 2017     Published: 23 October 2017
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Abstract

The goal of the present article is to demonstrate a mathematical modeling for distributed applications. The present paper applies tools from topology and sheaf theory as an appropriate mathematical modeling to reflect interactions among elements of distributed applications resources. Sensors are characterized from their topological representations in distributed network system. This modeling is applied for the study of the air traffic monitoring system and discuss the model in detail.

Published in International Journal of Data Science and Analysis (Volume 3, Issue 5)
DOI 10.11648/j.ijdsa.20170305.11
Page(s) 34-39
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Cellular Sheaf, Stalks, Cosheaf Homology, Sheaf Cohomology

References
[1] M. Robinson, C. Joslyn, E. Hogan, and C. Capraro, “Conglomeration of Heterogeneous Content using Local Topology,” American University, Mar. 2015.
[2] M. Robinson, “Sheaves are the canonical data structure for sensor integration,” Inf. Fusion, vol. 36, pp. 208–224, Jul. 2017.
[3] L. Monteiro and F. Pereira, “A sheaf-theoretic model of concurrency,” in Proceeding of Logic in Computer Science, 1986, pp. 66–76.
[4] Ehrich H. D., Goguen J. A., Sernadas A., “A categorial theory of objects as observed processes | SpringerLink.” [Online]. Available: https://link.springer.com/chapter/10.1007/BFb0019445. [Accessed: 03-Sep-2017].
[5] J. A. Goguen, “Sheaf Semantics for Concurrent Interacting Objects,” in Mathematical Structures in Computer Science, 1992, pp. 159–191.
[6] G. L. Cattani and G. Winskel, “Presheaf models for concurrency,” in Computer Science Logic, 1996, pp. 58–75.
[7] Cırstea, C, “A distributed semantics for FOOPS,” University of Oxford, Technical Report PRG-TR-20-95, 1995.
[8] G. Malcolm, “Component-Based Specification of Distributed Systems,” Electron. Notes Theor. Comput. Sci., vol. 160, pp. 211–224, Aug. 2006.
[9] G. Malcolm, “Sheaves, Objects, and Distributed Systems,” Electron. Notes Theor. Comput. Sci., vol. 225, pp. 3–19, Jan. 2009.
[10] Nicholas A. Scoville and Karthik Yegnesh, “Cosheaf Theoretical Constructions in Networks and Persistent Homology,” International Mathematics Research Notices, 2009.
[11] J. M. Curry, “Dualities between cellular sheaves and cosheaves,” J. Pure Appl. Algebra, Jun. 2017.
Cite This Article
  • APA Style

    Seyed Mansourbeigi. (2017). Sheaf Theory Approach to Distributed Applications: Analysing Heterogeneous Data in Air Traffic Monitoring. International Journal of Data Science and Analysis, 3(5), 34-39. https://doi.org/10.11648/j.ijdsa.20170305.11

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    ACS Style

    Seyed Mansourbeigi. Sheaf Theory Approach to Distributed Applications: Analysing Heterogeneous Data in Air Traffic Monitoring. Int. J. Data Sci. Anal. 2017, 3(5), 34-39. doi: 10.11648/j.ijdsa.20170305.11

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    AMA Style

    Seyed Mansourbeigi. Sheaf Theory Approach to Distributed Applications: Analysing Heterogeneous Data in Air Traffic Monitoring. Int J Data Sci Anal. 2017;3(5):34-39. doi: 10.11648/j.ijdsa.20170305.11

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  • @article{10.11648/j.ijdsa.20170305.11,
      author = {Seyed Mansourbeigi},
      title = {Sheaf Theory Approach to Distributed Applications: Analysing Heterogeneous Data in Air Traffic Monitoring},
      journal = {International Journal of Data Science and Analysis},
      volume = {3},
      number = {5},
      pages = {34-39},
      doi = {10.11648/j.ijdsa.20170305.11},
      url = {https://doi.org/10.11648/j.ijdsa.20170305.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20170305.11},
      abstract = {The goal of the present article is to demonstrate a mathematical modeling for distributed applications. The present paper applies tools from topology and sheaf theory as an appropriate mathematical modeling to reflect interactions among elements of distributed applications resources. Sensors are characterized from their topological representations in distributed network system. This modeling is applied for the study of the air traffic monitoring system and discuss the model in detail.},
     year = {2017}
    }
    

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    AU  - Seyed Mansourbeigi
    Y1  - 2017/10/23
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    T2  - International Journal of Data Science and Analysis
    JF  - International Journal of Data Science and Analysis
    JO  - International Journal of Data Science and Analysis
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    AB  - The goal of the present article is to demonstrate a mathematical modeling for distributed applications. The present paper applies tools from topology and sheaf theory as an appropriate mathematical modeling to reflect interactions among elements of distributed applications resources. Sensors are characterized from their topological representations in distributed network system. This modeling is applied for the study of the air traffic monitoring system and discuss the model in detail.
    VL  - 3
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Author Information
  • Department of Computer Science, College of Engineering, Utah State University, Logan, USA

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