CloudTraceBucket: Cloud Trace Visualization and Management Platform
Name
Edgar Selihov
Abstract
Lately, the amount of data generated by cloud technologies has been growing exponen- tially. To cope with this amount of data, various web tools and applications have been developed by software engineers, scientists and researchers for statistics and analysis of cloud traces. The problem is that cloud researchers should use a variety of web resources to find the traces of the cloud data they need. In addition, the data must be manually processed before it can be visualized. The goal of the thesis is to collect publicly available cloud traces (e.g virtual machine’s behavior, serverless platforms, server workloads) and create a web application that allows cloud researchers to easily upload, download and visualize data based on user-selected query filters. The creation of this web application would enable researchers to analyze cloud tracking data and consolidate all the data into one place. The thesis mainly describes the cloud providers, their cloud traces along with the development and architecture of the web application.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Chinmaya Kumar Dehury
Defence year
2022