Distributed simulation represents a solid discipline and an effective approach for handling the increasing complexity in the analysis and design of modern Systems and Systems of Systems (SoSs). The IEEE 1516-2010-High Level Architecture (HLA) is one of the most mature and popular standards for distributed simulation and it is increasingly exploited in a great variety of application domains, ranging from aerospace to energy, due to its capabilities to enable the interoperability and reusability of distributed simulation components. However, the development of fully fledged simulation models, based on the IEEE 1516-2010 standard, is still a challenging task and requires considerable development effort that often results not only in an increase in development time but also in low reliability. In this context, the paper presents the HLA Development Kit Framework, a generalpurpose, domain independent software framework that aims to ease the development of HLA-based simulations by letting the developers to focus on the specific aspects of their simulation rather than dealing with the common HLA functionalities. Moreover, the so obtained simulation code is independent of any specific HLA platform thus enabling its deployment and execution on any desired implementation of the HLA standard provided it is written in Java. The effectiveness of the proposed framework is shown in the context of the Simulation Exploration Experience (SEE), a project organized by SISO (Simulation Interoperability Standards Organization) and led by NASA that involves several U.S. and European Institutions.
Distributed simulation involves many complex techniques and technologies. There are very few educational resources to support the study of distributed simulation. The Simulation Exploration Experience (SEE) (exploresimulation.com) is a partnership of government, industry, academia and professional associations that is attempting to support distributed simulation education in an exciting and challenging way. This annual programme of activities brings together teams of undergraduate and postgraduate students from across the world to build collaboratively a distributed simulation of a lunar expedition. This paper describes SEE and its lunar environment and discusses the experiences of Brunel University's 2014 student team who developed a hybrid distributed simulation of a lunar mining operation involving an agent-based simulation of a mine, a real-time simulation of an astronaut and a discrete-event simulation of a factory in SIMUL8.
6G networks are expected to have a breakthrough by enabling the emergence of collaborative cognitive communication services over heterogeneous environments for industry 5.0 applications. These applications are required to adapt human-centric approach to make the most of human intuition and intelligence in Industry 4.0 automation.It calls for a transdisciplinarity research domain to investigate innovative systems with overlapping realms of Psychology, Sociology, Communication networks, Artificial Intelligence , Natural Language Processing and Collaborative Computing. The author at the Cognitive Systems Research Centre, London South Bank University has coined the expression "3C Systems" to refer to such artifacts which stands for "Collaborative Cognitive Communication Systems". In this paper, an innovative framework for 3C Systems is proposed that is able to analyze and predict both the human as well as machine behaviors. It proactively diagnoses issues and recommends solutions without requiring any human intervention. The proposed concept of 3C Systems would potentially contribute towards 6G standardization. The automation and orchestration aspects of this research have variety of applications stretched across city infrastructures, retail, business, tourism, health, law, education and travel. A thorough insight to a broad view of 6G vision has been presented towards envisioned 3C Systems, while covering its enabling technologies. The experimental results for the proof of concept implementation has been presented. Results affirm the technical capabilities of the concept, to contribute to several industry 5.0 applications including, but not limited to holographic communication, self-driving vehicles, context-aware infrastructure and personalized interfaces.
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