Loading...
Scalable heterogeneous system through directory supported edge computing
Uddin, Md Raihan
Uddin, Md Raihan
Citations
Altmetric:
Files
Loading...
Uddin_2024.pdf
Adobe PDF, 25.21 KB
Authors
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2024-04-26
Type
Abstract
Genre
Keywords
Subjects (LCSH)
Citation
Uddin, M.R. 2024. Scalable heterogeneous system through directory supported edge computing. -- In Proceedings: 20th Annual Symposium on Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University
Abstract
Due to significant advancements on the Internet of Everything, the number of connected devices is rapidly increasing. The total number of connected devices is predicted to be 25 billion by 2025. According to Cisco's Global Cloud Index, nearly 850 Zeta bytes (ZB) data was generated in 2021. Generated data is shared through cloud and mostly processed by cloud computing, which poses challenges such as scalability, network congestion, and effective bandwidth. In this work, we introduce a directory supported edge computing strategy to perform more computations at the edge levels (instead of in the cloud). The directory supports quickly getting the required data (from the cloud) for performing edge computations. Experimental results show that cloud can accommodate 20% more devices while keeping the utilization at 80% and bringing down 60% computations at edge.
Table of Contents
Description
Presented to the 20th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Rhatigan Student Center, Wichita State University, April 26, 2024.
Research completed in the Department of Electrical and Computer Engineering, College of Engineering.
Research completed in the Department of Electrical and Computer Engineering, College of Engineering.
Publisher
Wichita State University
Journal
Book Title
Series
GRASP
v. 20
v. 20