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

Författare

Federico Giaimo

Chalmers, Data- och informationsteknik, Software Engineering

Hugo Sica de Andrade

Chalmers, Data- och informationsteknik, Software Engineering

Christian Berger

Göteborgs universitet

Ivica Crnkovic

Chalmers, Data- och informationsteknik, Software Engineering

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

a21

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Inbäddad systemteknik

Datorsystem

DOI

10.1145/2797433.2797454

ISBN

978-1-4503-3393-1