1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems

Research Article

Digital ecosystems: evolving service-orientated architectures

  • @INPROCEEDINGS{10.1145/1315843.1315864,
        author={Gerard  Briscoe and Philippe  De Wilde},
        title={Digital ecosystems: evolving service-orientated architectures},
        proceedings={1st International ICST Conference on Bio Inspired Models of Network, Information and Computing Systems},
  • Gerard Briscoe
    Philippe De Wilde
    Year: 2006
    Digital ecosystems: evolving service-orientated architectures
    DOI: 10.1145/1315843.1315864
Gerard Briscoe1,*, Philippe De Wilde2,*
  • 1: Intelligent Systems and Networks Group, Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom, SW7 2BT
  • 2: Intelligent Systems Lab, School of Mathematical and Computer Science, Heriot-Watt University, Edinburgh, United Kingdom, EH14 4AS
*Contact email: gerard.briscoe@ic.ac.uk, pdw@macs.hw.ac.uk


A novel optimisation technique inspired by natural ecosystems is presented, where the optimisation works at two levels: a first optimisation, migration of services which are distributed in a decentralised peer-to-peer network, operating continuously in time; this process feeds a second optimisation based on evolutionary computing that operates locally on single peers and is aimed at finding solutions to satisfy locally relevant constraints. Through this twofold process, the local search is accelerated and will yield better local optima, because the distributed optimisation already provides a good sampling of the search space by making use of computations already performed in other peers with similar constraints. We call this new distributed optimisation architecture a Digital Ecosystem, an Ecosystem-Orientated Architecture (EOA) created by extending a Service-Oriented Architecture (SOA) with Distributed Evolutionary Computing (DEC). The Digital Ecosystem will allow services to recombine and evolve over time, constantly seeking to improve their effectiveness for the user base. Individuals within our Digital Ecosystem will be applications (groups of services), created in response to user requests by using evolutionary optimisation to aggregate the services. These individuals will migrate through the Digital Ecosystem and adapt to find niches where they are useful in fulfilling other user requests.