Improving Bandwidth Efficiency with Self-Adaptation for Data Marshalling on the Example of a Self-Driving Miniature Car
Paper in proceedings, 2015

Publish/subscribe communication is a common architectural design pattern in component-based software systems used in many of today’s cyber-physical systems to exchange information between distributed software components. These systems typically deal with an increased number of data transfers, with a risk of lacking resources. Our recent domain analysis for a lane-following algorithm of a self-driving miniature car unveiled that the actual “information increment” between two subsequently sent packets is often small. Such scenario enables possibilities for a more efficient data exchange by avoiding redundant and/or unnecessary information transfer. In this paper, we propose and evaluate our concept for “self-adaptive data marshalling” that transparently adapts data types in messages to be exchanged by analyzing the actual information increment. The approach could reduce the bandwidth usage by more than 50% in comparison to the current approach, and by approximately 33% compared to the use of the general-purpose compression library zlib.

Publish/subscribe

Data marshalling

Self-adaptation

Cyber-physical systems

Self-driving cars

Communication

Author

Federico Giaimo

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Hugo Sica de Andrade

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Christian Berger

University of Gothenburg

Ivica Crnkovic

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Proceedings of the 2015 European Conference on Software Architecture Workshops Article No. 21

a21

Areas of Advance

Information and Communication Technology

Subject Categories

Embedded Systems

Computer Systems

DOI

10.1145/2797433.2797454

ISBN

978-1-4503-3393-1

More information

Created

10/7/2017