Research Article
Embryonic Models for Self–healing Distributed Services
@INPROCEEDINGS{10.1007/978-3-642-12808-0_15, author={Daniele Miorandi and David Lowe and Lidia Yamamoto}, title={Embryonic Models for Self--healing Distributed Services}, proceedings={Bioinspired Models of Network, Information, and Computing Systems. 4th International Conference, BIONETICS 2009, Avignon, France, December 9-11, 2009, Revised Selected Papers}, proceedings_a={BIONETICS}, year={2012}, month={5}, keywords={distributed services autonomic computing self--healing behaviour robustness embryogenesis differentiation mechanisms}, doi={10.1007/978-3-642-12808-0_15} }- Daniele Miorandi
David Lowe
Lidia Yamamoto
Year: 2012
Embryonic Models for Self–healing Distributed Services
BIONETICS
Springer
DOI: 10.1007/978-3-642-12808-0_15
Abstract
A major research challenge in distributed systems is the design of services that incorporate robustness to events such as network changes and node faults. In this paper we describe an approach – which we refer to as – that is inspired by cellular development and differentiation processes. The approach uses “artificial stem cells” in the form of totipotent nodes that differentiate into the different types needed to obtain the desired system–level behaviour. Each node has a genome that contains the full service specification, as well as rules for the differentiation process. We describe the system architecture and present simulation results that assess the overall performance and fault tolerance properties of the system in a decentralized network monitoring scenario.