CloudTraceBucket: Visualisation and Management Platform for Cloud traces

Organization
Mobile & Cloud Computing Laboratory
Abstract
This is a continuation of the previous thesis topic, where the student has successfully collected some (not all) datasets. Thesis supervisor will help you collect the data. CloudTraceBucket (CTB) is in its preliminary state with the feature to upload and download the public datasets to/from the CTB. The upload datasets go through a preprocessing stage before storing in a generalised format. The necessary API endpoints are developed to enable those features. The CloudTraceBucket platform will provide the research community to visualise and download the data based on their requirement.
In this topic, the student will improve the platform with several features. For example, the integration of third party visualisation tools, improving the generalised schemas to support other types of cloud traces, e.g. serverless platforms, workloads, and users’ requests etc. Several cloud data sets are available from Google, Yahoo, Alibaba, Facebook, and other cloud providers.
Graduation Theses defence year
2022-2023
Supervisor
Chinmaya Dehury
Spoken language (s)
English
Requirements for candidates
Level
Bachelor, Masters
Keywords
#HPC, #cloudcomputing, #datacenter, #visualisation, #ML #AI, #software

Application of contact

 
Name
Chinmaya Dehury
Phone
E-mail
Chinmaya.Dehury@ut.ee
See more
https://docs.google.com/document/d/14SPgOTF6f8nw8bpxl-3RMbDxwELranK1_bYBK2jzoy8/edit?usp=sharing