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The Trigger and Data Acquisition System of the ALICE Experiment has been designed to support the high bandwidth expected during the LHC heavy ion run. A model of this system has been developed. The goal of this model is two fold.First, it allows us to verify that the system-level design is consistent and behaves according to the requirements. Second, it is used to evaluate the theoretical system performances using the measurements done on sub-systemsprototypes. This paper presents the specification and simulation of a model of the ALICE DAQ system using a commercial tool (Foresight). This specification is then executed to simulate the system behaviour.(Abstract onlyavailable, full text to follow)

The spread of the Internet and the evolution of mobile communication, have created new possibilities for software applications such as ubiquitous computing, dynamic supply chains and medical home care. Such systems need to operate in dynamic, heterogeneous environments and face the challenge of handling frequently changing requirements: therefore they must be flexible, robust and capable of adapting to the circumstances. It is widely believed that multi-agent systems coordinated by self-organisation and emergence mechanisms are an effective way to design these systems. This paper aims to define the concepts of self-organisation and emergence and to provide a state of the art survey about the different classes of self-organisation mechanisms applied in the multi-agent systems domain. Fourthermore, the strenghts and limits of these appproaches are examined and research issues are provided.

To deal with the increasing complexity of software systems and uncertainty of their environments, software engineers have turned to self-adaptivity. Self-adaptive systems are capable of dealing with a continuously changing environment and emerging requirements that may be unknown at design-time. However, building such systems cost-effectively and in a predictable manner is a major engineering challenge. In this paper, we explore the state-of-the-art in engineering self-adaptive systems and identify potential improvements in the design process. Our most important finding is that in designing self-adaptive systems, the feedback loops that control self-adaptation must become first-class entities. We explore feedback loops from the perspective of control engineering and within existing self-adaptive systems in nature and biology. Finally, we identify the critical challenges our community must address to enable systematic and well-organized engineering of self-adaptive and self-managing software systems. © 2009 Springer Berlin Heidelberg

A clear terminology is essential in every research discipline. In the context of ESOA, a lot of confusion exists about the meaning of the terms emergence and self-organisation. One of the sources of the confusion comes from the fact that a combination of both phenomena often occurs in dynamical systems. In this paper a historic overview of the use of each concept as well as a working definition, that is compatible with the historic and current meaning of the concepts, is given. Each definition is explained by supporting it with important characteristics found in the literature. We show that emergence and self-organisation each emphasise different properties of a system. Both phenomena can exist in isolation. The paper also outlines some examples of such systems and considers the combination of emergence and self-organisation as a promising approach in complex multi-agent systems. ispartof: pages:1-15 ispartof: Engineering Self Organising Systems: Methodologies and Applications, Lecture Notes in Computer Science vol:3464 pages:1-15 ispartof: The Second International Workshop on Engineering Self-organising Applications at The Third International Joint Conference on Autonomous Agents and Multi-Agent Systems location:New York, USA date:Jul 2004 status: published

ispartof: pages:96-110 ispartof: Proceedings of the International Workshop on Engineering Self-Organising Applications 2004 pages:96-110 ispartof: International Workshop on Engineering Self-Organising Applications at The Third International Joint Conference on Autonomous Agents and Multi Agent Systems location:New York, USA date:19 Jul - 23 Jul 2004 status: published