Session
Poster Session 2
Abstract
DebriSat is a hypervelocity impact (HVI) experiment that aims to generate new debris characterization data to update existing orbital debris breakup models. The DebriSat project is currently in the post-impact phase where debris fragments are collected, characterized, and recorded. The DebriSat debris categorization system (DCS) is a relational database-based big data management solution designed to handle the hundreds of thousands of unique data points produced by the DebriSat project. This paper discusses the development process of the DCS and describes how some techniques used in the system can be applied to similar small satellite missions to assist in the management of their big data challenges. Furthermore, this paper provides some performance analyses of various database engines and services that highlight potential pitfalls when dealing with such a large amount of data and metadata. Finally, this paper presents some of the lessons learned during the planning, development, and implementation stages of both the DebriSat project and the DCS and how these lessons can be integrated into future small satellite missions.
DebriSat, Big Data, and How It Relates to Small Satellites
DebriSat is a hypervelocity impact (HVI) experiment that aims to generate new debris characterization data to update existing orbital debris breakup models. The DebriSat project is currently in the post-impact phase where debris fragments are collected, characterized, and recorded. The DebriSat debris categorization system (DCS) is a relational database-based big data management solution designed to handle the hundreds of thousands of unique data points produced by the DebriSat project. This paper discusses the development process of the DCS and describes how some techniques used in the system can be applied to similar small satellite missions to assist in the management of their big data challenges. Furthermore, this paper provides some performance analyses of various database engines and services that highlight potential pitfalls when dealing with such a large amount of data and metadata. Finally, this paper presents some of the lessons learned during the planning, development, and implementation stages of both the DebriSat project and the DCS and how these lessons can be integrated into future small satellite missions.
