Sis Hesaplamada Sis Düğümlerinin Rolü ve Mimari Yapısı

Yıl 2021, Sayı: 29, 317 - 322, 01.12.2021

Fatih Topaloğlu

https://doi.org/10.31590/ejosat.1018653

Öz

Sis hesaplama, IoT uç cihazlar ve bulut arasındaki katmanda cihaz üstünde gerçekleşen bilişimi ifade eder. Sis bilişimin temelinde sis düğümleri yatar. Sis düğümleri coğrafi olarak dağınık durumda bulunan, zengin kaynaklı, ağın herhangi bir yerine konumlandırılabilecek cihazlardır. Sis düğümleri, yönetimi basitleştiren, güç ve alan gereksinimlerini azaltan birleştirilmiş bilgi işlem, ağ ve depolama alanına sahiptir. Bununla birlikte, sis hesaplama hala emekleme aşamasındadır ve hala açık problemler vardır. IoT uygulamalarında ağ geçidi ve uç düğümler, uçta gerçek zamanlı analiz gerektiren işlemlerde, verilerin sıkıştırılması işleminde ve bulut ile iletişimde meydana gelen gecikme için yetersiz kalmaktadır. Makalede, sis hesaplamada sis düğümlerinin rolü ve sis düğüm mimarisine odaklanarak bu problemlerin çözümü için detaylı analizler ve çözüm önerileri ortaya konmuştur.

Anahtar Kelimeler

Sis hesaplama, IoT, Sis düğümleri, Sis düğüm mimarisi

The Role and Architecture of Fog Nodes in Fog Computing

Öz

Fog computing refers to on-device computing at the layer between IoT edge devices and the cloud. Fog nodes are the basis of fog computing. Fog nodes are geographically dispersed, resource-rich devices that can be located anywhere in the network. Fog nodes have unified compute, network and storage that simplifies management and reduces power and space requirements. However, fog computing is still in its infancy and there are still open problems. In IoT applications, gateway and edge nodes are insufficient for latency in operations that require real-time analysis at the edge, compression of data, and communication with the cloud. In the article, the role of fog nodes in fog computing and focusing on fog node architecture, detailed analyzes and solution proposals for the solution of these problems are presented.

Anahtar Kelimeler

Fog computing, IoT, Fog nodes, Fog node architecture

Kaynakça

• Arkian, H.R., Diyanat, A., & Pourkhalili, A. (2017). Mist: Fog-based data analytics scheme with cost-efficient resource provisioning for IoT crowdsensing applications. Journal of Network and Computer Applications, 82, 152–165. doi: 10.1016/j.jnca.2017.01.012
• Assuncao, de M.D., Da Silva Veith, A., & Buyya, R. (2018). Distributed data stream processing and edge computing: A survey on resource elasticity and future directions. Journal of Network and Computer Applications, 103, 1–17. doi: 10.1016/j.jnca.2017.12.001
• Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012). Fog computing and its role in the internet of things. in Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, ser. MCC ’12. New York, NY, USA: ACM, 13–16. doi: 10.1145/2342509.2342513
• Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660. doi: 10.1016/j.future.2013.01.010
• Karagiannis, V. (2019). Compute node communication in the fog: Survey and research challenges. in Workshop on Fog Computing and the IoT (IoTFog), 1–5. doi: 10.1145/3313150.3313224
• Karagiannis, V., Venito, A., Coelho, R., Borkowski, M., and G. Fohler, G. (2019). Edge computing with peer to peer interactions: Use cases and impact. in Workshop on Fog Computing and the IoT (IoT-Fog), 1–5. doi: 10.1145/3313150.3313226
• Lu, R., Heung, K., Lashkari, A.H., & Ghorbani, A.A. (2017). A lightweight privacy-preserving data aggregation scheme for fog computing-enhanced IoT. IEEE Access, 5, 3302–3312. doi: 10.1109/ACCESS.2017.2677520
• Lujic, I., De Maio, V., and I. Brandic, I. (2017). Efficient edge storage management based on near real-time forecasts. in International Conference on Fog and Edge Computing (ICFEC), 21–30. doi:10.1109/ıcfec.2017.9
• Zhang, B., Mor, N., Kolb, J., Chan, D.S., Lutz, K., Allman, E., Wawrzynek, J., Lee, E., & Kubiatowicz, J. (2015). The cloud is not enough: Saving IoT from the cloud. in 7th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud ’15). Santa Clara, CA: USENIX Association, Jul.2015.