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A new scientific and technological revolution is emerging around the world and the era of “New Internet + Big Data + Artificial Intelligence+” is coming. As a third approach of understanding and transforming the world after theoretical approach and experimental approach, simulation technology faces major challenge in paradigm, approach, and ecosystem. Based on earlier researches and practices on simulation grid and simulation cloud, our team proposes smart cloud simulation (cloud simulation 2.0) based on our recent years research. The paper introduces the connotation of smart cloud simulation, and the concept model, architecture, body of knowledge, prototype, key technologies and applications of smart simulation cloud (smart cloud simulation system). The innovations of this paper are as follows. We define the connotation of newly cloud simulation the paradigm of which is interconnected, service-oriented, personalized, flexible, sociable and intelligent to satisfy the simulation demands of users at anytime, anywhere. We propose the digitizing, things-connecting, virtualization, service-oriented, collaborating and intelligent enabling technologies respectively. Moreover, typical prototype applications based on high performance simulation computers are proposed to illustrate the availability of our architecture and methods and it works well for the full cycle of simulation.

PurposeComplex system modeling requires not only understanding of modeling framework but also domain knowledge of the system. The purpose of this paper is to present an approach which separates the domain knowledge from the modeling framework with different views.Design/methodology/approachBy establishing the mechanism of association and fusion among the views, the description and characterization of system from different aspect and point of view can form a complete system model. Based on the approach, a modeling and simulation (M&S) platform named SimFaster is developed. Modeling environment and simulation engine are the most important parts of the platform. The modeling environment provides multi‐views and multi‐layers to help the developers to modeling the structure, layers, composition, behavior, and interactions of an application system. The simulation engine provides mechanism of integration and interaction for components and objects, and provides runtime support for the concepts and terms from modeling environment. The simulation engine organizes the objects in the memory of distributed system as reflective object database system, so it is repository centered architecturally.FindingsBased on the approach of multi‐views modeling, the platform is a flexible framework and supports top‐down design, model reuse and interoperation, dynamic refinement of models, corporative design among different users in different stages, and the rebuilt of application rapidly.Research limitations/implicationsThis paper deals with high‐level models of the complex systems.Practical implicationsThis platform helps to design, modeling, and simulation complex system (especially for weapon combat system). It can participate into all the stages of the development of complex product/system, and can support the validation, refinement, optimization of models, and systems.Originality/valueThis paper presents a multi‐views modeling approach for the modeling of complex system.

This paper reviews the progress of the research, development and applications of CIMS during the past 13 years, and summarizes the three development stages of system integration, that's information integration under heterogeneous environments; process re-engineering and integration; and enterprise integration facing global manufacturing. The pilot applications in the tens of enterprises have showed that the general strategy and technical route are successful. This paper also summarizes the most significant characteristics of Chinese CIMS - System Theory is the ground of Chinese Contemporary Manufacturing System,emphasizing modelling, optimization and coordination.

Multi-domain unified modeling of complex product and optimization design technology is one integration description methodology, which can describe how to construct the unified modeling of complex product and carry out the synthetical optimization based on various fields. To achieve the seamless integration of unified modeling of complex product and optimization design and realize the system-level optimization of complex product , the research status at home and abroad about multi-domain unified modeling of complex product and optimization design techniques were summarized, and the main technical issues of multi-domain unified modeling of complex product and optimization design were raised. Then the overall architecture of multi-domain unified modeling and optimization design platform on complex product was presented, and the system architecture of multi-domain optimization design platform was provided. Finally, the key technologies and research prospects of multi-domain unified modeling of complex product and optimization design techniques were also discussed.

Simulation grid has well solved the problem of sharing, reusing, cooperating and dynamic scheduling, optimizing and executing of simulation model and resources in the Internet. But it still has some disadvantages, such as the capabilities of moving, independence, adaptability and context-aware. If the pervasive computing technology could be introduced into the simulation grid, it can meet our requirement of gaining simulation services anywhere anytime in pervasive computing mode in the future. The requirement for pervasive computing technology in simulation grid was firstly discussed. Then the connotation and architecture of the pervasive simulation grid were raised, and some approaches for realizing pervasive simulation grid were presented. Finally, the conclusion and some further work were also provided.