Tereska Karran

A role-based security architecture for business intelligence

Security is a growing concern to enterprise systems when they become open to e-commerce using the Internet. This is particularly severe in the e-commerce applications using knowledge management systems which generally maintain critical information about the enterprise. Security usually affects all parts of a system and to be effective must therefore be integrated in the enterprise architecture. The paper describes CODA, a complex organic distributed architecture for modeling distributed knowledge management systems applied to business intelligence, and proposes a security system architecture to be integrated to it. The foundation of the security system is a role based access control model, which provides all the functionality required by a security system including authentication and auditing.

Intelligent Reconfiguration of Dynamic Distributed Components

Naming service and the reconfiguration management systems usually work in a client-server manner where both the selection of components and the reconfiguration are a result of a request. Developing intelligent systems that are capable of monitoring and learning about themselves, and thereby rapidly react to changes in their environment, has become essential to most systems. This paper proposes an extension to FRODICA (Framework for Distributed Configurable Applications), a framework that supports the development of non-functional oriented reconfiguration of distributed systems, using the Complex Organic Distributed Architecture (CODA). CODA applies cybernetic concepts such as self-organisation, self-regulation and viability to derive an intelligent architecture, which can react to failures in achieving its objectives and proactively search for successful patterns of behaviour. The result is a configuration management system, which can use the knowledge of itself to proactively and dynamically drive both the search and the reconfiguration of its components.

Intelligent reconfiguration of large mobile networks using complex organic distributed architecture

This paper presents a possible solution to the intelligent evolution of mobile systems using a complex organic distributed architecture (CODA), which supports intelligent reconfiguration of all system components. A key feature of this architecture is the deployment of multiple warehouses. The warehouses store data in a variety of ways depending on the type of intelligence, required. On line analytical processing (OLAP) software is used to monitor and control data in the system. An effective system of filters and wrappers ensures that data is secure. A system of feedback loops ensures that information travels through the system quickly and effectively.

Modelling Organic Adaptable Service-Oriented Enterprise Architectures

Developing systems that are capable of monitoring and learning about themselves, and thereby rapidly react to changes in their environment, has become essential to any enterprise. The search for solutions to this complex and challenging problem has stimulated both researchers and practitioners. This paper attempts to connect the views of the researchers and practitioners by relating the state-of-the-art approach proposed by the Complex Organic Distributed Architecture (CODA), with Cap Gemini Ernst & Young’s vision of adaptive architecture. CODA applies cybernetic concepts such as self-organisation, self-regulation and viability to derive an intelligent architecture, which can react to failures in achieving its objectives and proactively search for successful patterns of behaviour. The paper presents a model for developing adaptive enterprise systems using CODA, which at the same time satisfies Cap Gemini Ernst & Young’s characteristics for adaptability. The paper also briefly describes how the model can be implemented using current enterprise infrastructures.

An object-oriented organic architecture for next generation intelligent reconfigurable mobile networks

Next generation mobile networks have great potential in providing personalised and efficient quality of service by using re-configurable platforms. The foundation is the concept of software radio where both the mobile terminal and the serving network can be re-configurable. This approach becomes more effective when combined with historic-based prediction strategies that enable the system to learn about application behaviour and predict its resource consumption. We extend that concept by proposing the use of an object-oriented intelligent decision making architecture, which supports general and large-scale applications. The proposed architecture applies the principles of business intelligence and data warehousing, together with the concept of organic viable systems. The architecture is applied to the CAST (configurable radio with advanced software technology) platform.

An Organic Architecture for Distributed Knowledge Management

The new breed of enterprise information systems is very complex in scope. They comprise multiple-component interactions on a variety of data models. New components have to be added to existing operational systems, in order for the enterprise to stay competitive by exploiting new sources for data capture. If new sources of data involve new Internet transaction components, for example, these should be integrated to the existing logistics and market components. This integration cannot be managed in an ad hoc way but requires a holistic architecture. This paper proposes a complex organic distributed architecture (CODA) to manage the integration of additional components to large distributed knowledge management systems. CODA achieves this through a layered architecture, dynamic adaptability, filtered information and role-based security. The layered architecture levels data knowledge according to cognitive complexity. The dynamic adaptability allows components to meet a variety of objectives by using critical success factors in each component. Filters are placed between the layers to ensure that each layer only receives relevant data. Finally, a security system based on roles and layers manages access to data. In this paper, we give an overview of CODA and present a simple case study, which illustrates the use of CODA.