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

Next generation mobile networks have great potential in providing personalised and effcient quality of service by using re-confgurable 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

EDPEPPS: a graphical environment for the parallel software development cycle

This paper describes an environment for performance-oriented design of portable parallel software. The environment consists of a graphical design tool for building parallel algorithms, a state-of-the-art simulation engine, a CPU characterisation tool, a distributed debugging tool and a visualisation/replay tool. The environment is used to model a virtual machine composed of a cluster of heterogeneous high-performance workstations interconnected by a local area network. The simulation model used is modular and its components are interchangeable which allows easy re-configuration of the platform. The model is validated using experiments on two parallel Givens linear solver algorithms with average errors of about 8%