PROSET — A Language for Prototyping with Sets

We discuss the prototyping language PROSET(Prototyping with Sets) as a language for experimental and evolutionary prototyping, focusing its attention on algorithm design. Some of PROSET’s features include generative communication, flexible exception handling and the integration of persistence. A discussion of some issues pertaining to the compiler and the programming environment conclude the pape

Investigating strategies for cooperative planning of independent agents through prototype evaluation

This paper discusses the application of the prototyping approach to investigating the requirements on strategies for cooperative planning and con ict resolution of independent agents by means of an example application: the strategic game \Scotland Yard". The strategies for coordinating the agents, which are parallel algorithms, are developed with a prototyping approach using ProSet-Linda. ProSet-Linda is designed for prototyping parallel algorithms. We concentrate on the techniques employed to elicit the requirements on the algorithms for agent interaction. The example application serves to illustrate the prototyping approach to requirements elicitation by means of a non-trivial instance for investigating algorithms for cooperative planning and con ict resolution

Investigating Strategies for Cooperative Planning of Independent Agents through Prototype Evaluation

This paper discusses the application of the prototyping approach to investigating the requirements on strategies for cooperative planning and conflict resolution of independent agents by means of an example application: the strategic game "Scotland Yard". The strategies for coordinating the agents, which are parallel algorithms, are developed with a prototyping approach using ProSet-Linda. ProSet-Linda designed for prototyping parallel algorithms. We concentrate o

Ontology-based composition and matching for dynamic cloud service coordination

Recent cross-organisational software service offerings, such as cloud computing, create higher integration needs. In particular, services are combined through brokers and mediators, solutions to allow individual services to collaborate and their interaction to be coordinated are required. The need to address dynamic management - caused by cloud and on-demand environments - can be addressed through service coordination based on ontology-based composition and matching techniques. Our solution to composition and matching utilises a service coordination space that acts as a passive infrastructure for collaboration where users submit requests that are then selected and taken on by providers. We discuss the information models and the coordination principles of such a collaboration environment in terms of an ontology and its underlying description logics. We provide ontology-based solutions for structural composition of descriptions and matching between requested and provided services

A service localisation platform

The fundamental purpose of service-oriented computing is the ability to quickly provide software and hardware resources to global users. The main aim of service localisation is to provide a method for facilitating the internationalisation and localisation of software services by allowing them to be adapted to different locales. We address lingual localisation by providing a service translation using the latest web services technology to adapt services to different languages and currency conversion by using real-time data provided by the European Central Bank. Units and Regulatory Localisations are performed by a conversion mapping, which we have generated for a subset of locales. The aim is to investigate a standardised view on the localisation of services by using runtime and middleware services to deploy a localisation implementation. Our contribution is a localisation platform consisting of a conceptual model classifying localisation concerns and the definition of a number of specific platform services

Business process model customisation using domain-driven controlled variability management and rule generation

Business process models are abstract descriptions and as such should be applicable in different situations. In order for a single process model to be reused, we need support for configuration and customisation. Often, process objects and activities are domain-specific. We use this observation and allow domain models to drive the customisation. Process variability models, known from product line modelling and manufacturing, can control this customisation by taking into account the domain models. While activities and objects have already been studied, we investigate here the constraints that govern a process execution. In order to integrate these constraints into a process model, we use a rule-based constraints language for a workflow and process model. A modelling framework will be presented as a development approach for customised rules through a feature model. Our use case is content processing, represented by an abstract ontology-based domain model in the framework and implemented by a customisation engine. The key contribution is a conceptual definition of a domain-specific rule variability language