Classification and Analysis of Issues Faced by Open Source Simulation Software in the Field of Fog and Edge Computing | IEEE Conference Publication | IEEE Xplore

Classification and Analysis of Issues Faced by Open Source Simulation Software in the Field of Fog and Edge Computing


Abstract:

Fog and Edge Computing is still a relatively new field, being less than a decade old. As it is under rapid development, it is of utmost importance that the tools and soft...Show More

Abstract:

Fog and Edge Computing is still a relatively new field, being less than a decade old. As it is under rapid development, it is of utmost importance that the tools and software used for this new field is better applied and researched upon to improve the state of education for this new technology. In this study, we aim to further the current state of simulation software by surveying open-source simulation software available in repository management applications such as GitHub. Through this analysis, we will identify potential weaknesses and drawbacks of the software, such as performance limitations, lack of scalability options, or insufficient documentation. This study aims to contribute to the open-source community within the Fog and Edge Simulation space and promote further advancements in simulation software by reviewing potential issues and better understanding the strengths and weaknesses of various simulation software by classifying them with respect to the various characteristics of each simulation software within the field of Fog and Edge Computing.
Date of Conference: 14-16 December 2023
Date Added to IEEE Xplore: 16 February 2024
ISBN Information:
Conference Location: Vellore, India

I. Introduction

To best understand the concepts behind Fog and Edge Computing, let us first define the term cloud computing; Cloud computing is the continuous availability and delivery of Information Technology resources and services over the internet. In the current age, huge amounts of data is generated every second in and around the world. Commercial businesses collect and process that data from the many users that utilise such services and get analytics accordingly to scale and develop their business. When a lot of corporations and organizations access their data simultaneously through remote servers present data centers, there increases potential for data based traffic to occur. This Data traffic can cause delay in data access and data management, lower throughput and bandwidth, etc. While cloud computing technology is valuable, it alone may not be entirely efficient in storing and processing vast volumes of data with swift responsiveness. In response to these challenges, the introduction of Edge computing and Fog computing aims to enhance the management of processing, latency, and data flow on devices situated in close proximity to the user, commonly referred to as the edge.

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