Picture of athlete cycling

Open Access research with a real impact on health...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

Explore open research content by Physical Activity for Health...

Decentralised discovery of mobile objects

Glassey, Richard and Stevenson, Graeme and Ferguson, Robert Ian (2007) Decentralised discovery of mobile objects. Information and Media Technologies, 2 (3). pp. 860-868. ISSN 1881-0896

[img]
Preview
Text (strathprints003431)
strathprints003431.pdf - Final Published Version

Download (6MB) | Preview

Abstract

The partially connected nature of mobile and ubiquitous computing environments presents software developers with hard challenges. Mobile code has been suggested as a natural fit for simplifying software development for these environments. However, existing strategies for discovering mobile code assume an underlying fixed, stable network. An alternative approach is required for mobile environments, where network size may be unknown and reliability cannot be guaranteed. This paper introduces AMOS, a mobile object platform augmented with a structure overlay network that provides a fully decentralised approach to the discovery of mobile objects. We demonstrate how this technique has better reliability and scalability properties than existing strategies, with minimal communication overhead. Building upon this novel discovery strategy, we show how load balancing of mobile objects in an AMOS network can be achieved through probabilistic means.