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Uç/Sis Bilişim Kullanarak Verileri İzlemeye Yönelik Veri Merkezi Ağ Topolojileri Üzerine Çalışma

Yıl 2024, Cilt: 27 Sayı: 5, 1859 - 1874, 02.10.2024
https://doi.org/10.2339/politeknik.1327987

Öz

Uygun bir veri merkezi ağ topolojisinin seçilmesi, sorun teşhisi ve önlenmesi gerçekleştirmek amacıyla herhangi bir uzaktan bilişim ortamından elde edilen sensör verilerinin birleştirilmesi için gözetim ve izleme süreçleriyle uğraşırken çok önemlidir. Bu çalışmada, Switch merkezli veya sunucu merkezli olanları temsil eden uç/sis bilişime bağlı bir veri merkezi içindeki bileşenleri birbirine bağlamak için en yaygın kullanılan topolojilerden bazılarının performanslarını ölçerek gözden geçirilmiş ve istatistiksel bir bakış açısıyla analiz edilmiştir ve sonuç olarak sunucu merkezli olanların daha iyi performans gösterdiği bulunmuştur.

Kaynakça

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Study on Data Center Network Topologies for Monitoring Data using Edge/Fog Computing

Yıl 2024, Cilt: 27 Sayı: 5, 1859 - 1874, 02.10.2024
https://doi.org/10.2339/politeknik.1327987

Öz

The election of an appropriate data center network topology is key when dealing with surveillance and monitoring processes, such as those devoted to obtaining relevant data for sensor data fusion in any type of remote computing environment so as to perform fault diagnosis and prevention. In this paper, some of the most commonly used topologies to interconnect nodes within a data center bound to edge/fog computing, representing either switch-centric ones or server-centric ones, are reviewed and analyzed from a statistical point of view in order to measure their performance, resulting in server-centric ones doing it better.

Kaynakça

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  • [56] https://www.thinkautonomous.ai/blog/9-types-of-sensor-fusion-algorithms/, “9 types of sensor fusion algorithms” (2021), accessed on July 7th, 2023.
  • [57] Yadav P., Mishra A., Kim S. A Comprehensive Survey on Multi-Agent Reinforcement Learning for Connected and Automated Vehicles. Sensors, 23(10): 4710 (2023).
  • [58] Castanedo F. A Review of Data Fusion Techniques. The Scientific World Journal, 2013: 704504, (2013).
  • [59] https://www.bosch-mobility-solutions.com/en/solutions/sensors/sensor-data-fusion/, “Sensor data fusion” (2023), accessed on July 7th, 2023.
  • [60] Aroulanandam V.V. et al. Sensor data fusion for optimal robotic navigation using regression based on an IOT system. Measurement: Sensors, 24: 100598, (2022).
  • [61] Varghese J.P., Sundaramoorthy K., Sankaran A. Development and Validation of a Load Flow Based Scheme for Optimum Placing and Quantifying of Distributed Generation for Alleviation of Congestion in Interconnected Power Systems. Energies, 16(6): 2536, (2023).
  • [62] Zonta T. et al. Predictive maintenance in the Industry 4.0: A systematic literature review. Computers & Industrial Engineering, 150: 106889, (2020).
  • [63] Kashinath S.A. et al. Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis. IEEE Access, 9: 51258–51276, (2021).
  • [64] Karaahmetoglu E., Ersöz S., Türker A.K., Ates V. and Inal A.F., “Evaluation of Profession Predictions for Today and the Future with Machine Learning Methods: Emperical Evidence From Turkey”, Journal of Polytechnic, 26(1): 107–124, (2023).
  • [65] Achouch M. et al. On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges. Applied Sciences, 12(16): 8081, (2022).
  • [66] Roig P.J., Alcaraz S., Gilly K., Bernad C., Juiz C. Modeling an edge computing arithmetic framework for IoT. Sensors, 22(3): 1084 (2022).
  • [67] Roig P.J., Alcaraz S., Gilly K., Bernad C., Juiz C. Arithmetic Framework to Optimize Packet Forwarding among End Devices in Generic Edge. Sensors, 22(2): 421 (2022).
  • [68] Sunyaev A. Fog and Edge Computing. Internet Computing, chapter 8, Springer, Cham, Switzerland, (2020).
  • [69] Roig P.J., Alcaraz S., Gilly K., Bernad C., Juiz C. Modeling of a Generic Edge Computing Application Design. Sensors, 21(21): 7276 (2021).
  • [70] Firouzi F., Farahani B., Panahi E., Barzegari M. Task Offloading for Edge-Fog-Cloud Interplay in the Healthcare Internet of Things (IoT). Proceedings of IEEE International Conference on Omni-Layer Intelligent Systems (COINS), Barcelona, Spain, (2021).
  • [71] Roig P.J., Alcaraz S., Gilly K., Bernad C., Juiz C. Formal Algebraic Model of an Edge Data Center with a Redundant Ring Topology. Network, 3(1): 142–157 (2023).
  • [72] Roig P.J. Formal Algebraic Modelling of a Fog Computer Network Architecture. PhD Thesis in Information and Communication Technologies, University of the Balearic Islands, Spain, (2022).
  • [73] Al-Makhlafi M., Gu H., Yu X., Lu Y. P-Cube: A New Two-Layer Topology for Data Center Networks Exploiting Dual-Port Servers. IEICE Transactions on Communications, E103-B(9): 940–950, (2020).
  • [74] Cortés-Castillo, A. Various Network Topologies and an Analysis Comparative Between Fat-Tree and BCube for a Data Center Network: An Overview. Proceeding of IEEE Cloud Summit, Fairfax, VA, USA, (2022).
  • [75] Roig P.J., Alcaraz S., Gilly K., Bernad C., Juiz C. Arithmetic Study about Efficiency in Network Topologies for Data Centers. Network, 3(3): 298–325, (2023).
  • [76] Roig P.J., Alcaraz S., Gilly K., Juiz C. Arithmetic Study about Energy Save in Switches for some Data Centre Topologies. Journal of Polytechnic, 25(2): 785–797 (2022).
  • [77] Roig P.J., Alcaraz S., Gilly K., Bernad C., Juiz C. Edge Data Center Organization and Optimization by Using Cage Graphs. Network, 3(1): 93–114, (2023).
  • [78] Al-Fares M., Loukissas A., Vahdat A. A Scalable, Commodity Data Center Network Architecture. Proceedings of SIGCOMM 2008, Seattle, WA, USA, (2008).
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  • [83] Roig P.J., Alcaraz S., Gilly K., Bernad C., Juiz C. Features of data center network topologies fit for IIoT deployments. Advances and Challenges in Science and Technology, 9: 29–48 (2023).
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Toplam 84 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Elektrik Enerjisi Taşıma, Şebeke ve Sistemleri
Bölüm Araştırma Makalesi
Yazarlar

Pedro Juan Roig 0000-0002-8391-8946

Salvador Alcaraz 0000-0003-3701-5583

Katja Gılly 0000-0002-8985-0639

Cristina Bernad 0000-0001-9537-415X

Carlos Juiz 0000-0001-6517-5395

Erken Görünüm Tarihi 6 Aralık 2023
Yayımlanma Tarihi 2 Ekim 2024
Gönderilme Tarihi 19 Temmuz 2023
Yayımlandığı Sayı Yıl 2024 Cilt: 27 Sayı: 5

Kaynak Göster

APA Roig, P. J., Alcaraz, S., Gılly, K., Bernad, C., vd. (2024). Study on Data Center Network Topologies for Monitoring Data using Edge/Fog Computing. Politeknik Dergisi, 27(5), 1859-1874. https://doi.org/10.2339/politeknik.1327987
AMA Roig PJ, Alcaraz S, Gılly K, Bernad C, Juiz C. Study on Data Center Network Topologies for Monitoring Data using Edge/Fog Computing. Politeknik Dergisi. Ekim 2024;27(5):1859-1874. doi:10.2339/politeknik.1327987
Chicago Roig, Pedro Juan, Salvador Alcaraz, Katja Gılly, Cristina Bernad, ve Carlos Juiz. “Study on Data Center Network Topologies for Monitoring Data Using Edge/Fog Computing”. Politeknik Dergisi 27, sy. 5 (Ekim 2024): 1859-74. https://doi.org/10.2339/politeknik.1327987.
EndNote Roig PJ, Alcaraz S, Gılly K, Bernad C, Juiz C (01 Ekim 2024) Study on Data Center Network Topologies for Monitoring Data using Edge/Fog Computing. Politeknik Dergisi 27 5 1859–1874.
IEEE P. J. Roig, S. Alcaraz, K. Gılly, C. Bernad, ve C. Juiz, “Study on Data Center Network Topologies for Monitoring Data using Edge/Fog Computing”, Politeknik Dergisi, c. 27, sy. 5, ss. 1859–1874, 2024, doi: 10.2339/politeknik.1327987.
ISNAD Roig, Pedro Juan vd. “Study on Data Center Network Topologies for Monitoring Data Using Edge/Fog Computing”. Politeknik Dergisi 27/5 (Ekim 2024), 1859-1874. https://doi.org/10.2339/politeknik.1327987.
JAMA Roig PJ, Alcaraz S, Gılly K, Bernad C, Juiz C. Study on Data Center Network Topologies for Monitoring Data using Edge/Fog Computing. Politeknik Dergisi. 2024;27:1859–1874.
MLA Roig, Pedro Juan vd. “Study on Data Center Network Topologies for Monitoring Data Using Edge/Fog Computing”. Politeknik Dergisi, c. 27, sy. 5, 2024, ss. 1859-74, doi:10.2339/politeknik.1327987.
Vancouver Roig PJ, Alcaraz S, Gılly K, Bernad C, Juiz C. Study on Data Center Network Topologies for Monitoring Data using Edge/Fog Computing. Politeknik Dergisi. 2024;27(5):1859-74.
 
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