Digital Ecosystems: Ecosystem-Oriented Architectures

We view Digital Ecosystems to be the digital counterparts of biological ecosystems. Here, we are concerned with the creation of these Digital Ecosystems, exploiting the self-organising properties of biological ecosystems to evolve high-level software applications. Therefore, we created the Digital Ecosystem, a novel optimisation technique inspired by biological ecosystems, where the optimisation works at two levels: a first optimisation, migration of agents 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. The Digital Ecosystem was then measured experimentally through simulations, with measures originating from theoretical ecology, evaluating its likeness to biological ecosystems. This included its responsiveness to requests for applications from the user base, as a measure of the ecological succession (ecosystem maturity). Overall, we have advanced the understanding of Digital Ecosystems, creating Ecosystem-Oriented Architectures where the word ecosystem is more than just a metaphor.Comment: 39 pages, 26 figures, journa

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Lead Markets: Drivers of the Global Diffusion of Innovations

Multinational corporations are often faced with regionally varying market conditions, local environments and demand preferences. This paper presents the lead markets concept of developing global innovation that takes advantage of the lead market phenomenon. A lead market is a regional market that is first to adopt global innovation designs. A system of five lead factors explains the lead role of a market: a demand advantage, a price advantage, an export advantage, a transfer advantage and a market structure advantage. The system of lead market factors is then evaluated in a detailed case study of the cellular mobile telephone industry. It is suggested that companies can harness lead markets for the development of global innovations. By developing and refining innovations in close interaction with the local environment of a lead market, a company can focus on a narrow range of preferences and feedback, lowering the risk of being locked into idiosyncratic environments, and generate true global innovations.International diffusion of innovation, R&D internationalisation, Market entry strategy

Developing a distributed electronic health-record store for India

The DIGHT project is addressing the problem of building a scalable and highly available information store for the Electronic Health Records (EHRs) of the over one billion citizens of India