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Home > Research > Publications & Outputs > Dynamic reconfiguration in the RUNES middleware
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Dynamic reconfiguration in the RUNES middleware

Research output: Contribution in Book/Report/ProceedingsConference contribution

Published

  • Geoffrey Coulson
  • Richard Gold
  • Manish Lad
  • Cecilia Mascolo
  • Luca Mottola
  • Gian Pietro Picco
  • Stefanos Zachariadis
Publication date2006
Host publication2006 IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS)
Place of publicationNEW YORK
PublisherIEEE
Pages534-537
Number of pages4
ISBN (Print)978-1-4244-0506-0
Original languageEnglish

Conference

ConferenceIEEE International Conference on Mobile Adhoc and Sensor Systems
CityVancouver
Period9/10/0612/10/06

Conference

ConferenceIEEE International Conference on Mobile Adhoc and Sensor Systems
CityVancouver
Period9/10/0612/10/06

Abstract

Next generation embedded systems will be composed of large numbers of heterogeneous devices. These will typically be resource-constrained (such as sensor motes), will use different operating systems, and will be connected through different types of network interfaces. Additionally, they may be mobile and/or form ad-hoc networks with their peers, and will need to be adaptive to changing conditions based on context-awareness.

As an example of these system we consider disaster recovery scenarios where large numbers of different devices need to interconnect in an ad-hoc manner. In this respect, our goal is the provisioning of a middleware framework for such system environments. Our approach is based on a small and efficient middleware kernel supporting highly modularised and customisable component-based middleware services. These services can be tailored for specific embedded environments, and are runtime-reconfigurable to support adaptivity.

This paper describes a demonstration that highlights some of the features available in our middleware. In particular, we focus on heterogeneity handling by showing our middleware running on resource-rich as well as resource-constrained devices, and on adaptivity features by demonstrating runtime reprogramming and on-the-fly component deployment.