Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - The Survival of the Fittest: An Evolutionary Approach to Deploying Adaptive Functionality in Peer-to-Peer Systems
AU - Tyson, Gareth
AU - Grace, P.
AU - Mauthe, Andreas
AU - Kaune, Sebastian
PY - 2008/12/1
Y1 - 2008/12/1
N2 - The heterogeneous, large-scale and decentralised nature of peerto-peer systems creates significant issues when deploying new functionality and adapting peer behaviour. The ability to autonomously deploy new adaptive functionality is therefore highly beneficial. This paper investigates middleware support for evolving and adapting peers in divergent systems through reflective component based design. This approach allows selfcontained functionality to exist in the network as a primary entity. This functionality is autonomously propagated to suitable peers, allowing nodes to be evolved and adapted to their individual constraints and the specific requirements of their environment. This results in effective functionality flourishing whilst suboptimal functionality dies out. By this, a self-managed infrastructure is created that supports the deployment of functionality following the evolutionary theory of natural selection. This approach is evaluated through simulations to highlight the potential of using natural selection for the deployment and management of software evolution.
AB - The heterogeneous, large-scale and decentralised nature of peerto-peer systems creates significant issues when deploying new functionality and adapting peer behaviour. The ability to autonomously deploy new adaptive functionality is therefore highly beneficial. This paper investigates middleware support for evolving and adapting peers in divergent systems through reflective component based design. This approach allows selfcontained functionality to exist in the network as a primary entity. This functionality is autonomously propagated to suitable peers, allowing nodes to be evolved and adapted to their individual constraints and the specific requirements of their environment. This results in effective functionality flourishing whilst suboptimal functionality dies out. By this, a self-managed infrastructure is created that supports the deployment of functionality following the evolutionary theory of natural selection. This approach is evaluated through simulations to highlight the potential of using natural selection for the deployment and management of software evolution.
U2 - 10.1145/1462716.1462720
DO - 10.1145/1462716.1462720
M3 - Conference contribution/Paper
SN - 978-1-60558-367-9
SP - 23
EP - 28
BT - ARM '08 Proceedings of the 7th workshop on Reflective and Adaptive Middleware
PB - ACM
CY - New York
T2 - 7th Workshop on Adaptive and Reflective Middleware (ARM'08)
Y2 - 1 December 2008
ER -