An Enhanced Hybrid Edge-Cloud algorithm For Reducing IoT Service Delay

Authors

• Rawaa Ammar, Computer Engineering Department, University of Technology, Baghdad, IraqFollow
• Hassan Jaleel, Computer Engineering Department, University of Technology, Baghdad, IraqFollow
• Ghaida Muttashar Abdel Saheb, Computer Engineering Department, University of Technology, Baghdad, IraqFollow

Document Type

Original Study

Keywords

Computer Engineering

Abstract

The Savvy Manufacturing plant could be a concept that communicates the conclusion goal of fabricating digitization. A Smart Factory, within the most common sense, profoundly digitized shop floor that collects and offers information persistently through associated computers, gadgets, and generations. In this work, the factory is represented by five types of sensors. The reading of the sensor values is sent to one of the Edge servers and cloud computing. One Edge server is selected based on calculating the time it takes for each server. The highest least time priority is chosen to receive the data coming from the sensors. This paper suggests a way to reduce the delay by using the edge server in addition to cloud computing by using methods that overcome any malfunction in one of the servers via another one that can work without the need to stop the factory systems.

How to Cite This Article

Ammar, Rawaa; Jaleel, Hassan; and Abdel Saheb, Ghaida Muttashar (2021) "An Enhanced Hybrid Edge-Cloud algorithm For Reducing IoT Service Delay," Iraqi Journal of Computers, Communications, Control and Systems Engineering: Vol. 21: Iss. 4, Article 5.
DOI: 10.33103/uot.ijccce.21.4.5
Available at: https://ijccce.researchcommons.org/journal/vol21/iss4/5