Journal Information
Simulation Modelling Practice and Theory
Impact Factor:
Call For Papers
The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling.

The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas.

Paper submission is solicited on:

• theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.;

• methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.;

• simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.;

• distributed and real-time simulation, simulation interoperability;

• tools for high performance computing simulation, including dedicated architectures and parallel computing.

Papers covering applications should be presented in such a way that the separate steps in the process, such as model development, computer implementation of the derived model, mathematical and scalability problems encountered and validation/verification with real data become transparent to all readers.

Theory may play an important role in a paper, but it should be presented in the context of its applicability to the work being described. For application-oriented readers it is essential that theoretical papers should cover the following aspects: why the theory is relevant and how it can be applied, what is the novelty of the approach and what are the benefits and objectives of a new theory, method or algorithm; what experience has been obtained in applying the approach and what innovations did result.

(Variations from these prototypes, such as comprehensive surveys of active research areas, critical reviews of existing work, and book reviews, will be considered provided they make a clear contribution to the field.)

Special issues on specific topics will be published from time to time; proposals for such issues are invited.
Last updated by Dou Sun in 2021-03-20
Special Issues
Special Issue on Containerization, Microservices and Serverless Cloud Computing: Modeling and Simulation
Submission Date: 2021-06-30

In recent years, container-based virtualization (or containerization) has gained prominence, especially in cloud platforms. A container is a lightweight unit of software that contains all the necessary code, system libraries and runtime environment required to run the application, providing process-level isolation. Multiple containers can run atop the same OS of a single host, physical or virtual. While containerization enables greater flexibility and easier deployment compared to traditional application models, it involves several challenges. Security, privacy, scalability and availability are some of the areas that attract particular attention. Complex applications are usually structured in a modular architectural style, as a collection of microservices. Microservices are loosely coupled and independently deployable parts of the application. They provide speed, agility and flexibility in application development, as well as easier maintenance. Containers have proved to be a great way to develop and deploy microservices in cloud environments. However, in addition to the issues that containers entail, the communication between containerized microservices can be particularly challenging. With the wide adoption of cloud services, serverless computing has emerged as a new paradigm that is poised to become even more prominent in the near future. Serverless computing enables users to develop applications without thinking about the underlying computing environment, focusing solely on the code of their application. With serverless computing, applications still run on servers, but all the infrastructure management, such as capacity provisioning and maintenance, is performed by the cloud provider. Serverless computing is inherently scalable and cost effective, but since the entire backend is run by the vendor, it introduces new security concerns that should be addressed. The scope of this Special Issue is to present state-of-the-art research in the areas of containerization, microservices and serverless computing in cloud platforms, with particular emphasis on modeling, simulation and performance evaluation of such frameworks and environments. Papers for the Special Issue must provide a substantial novel contribution, and authors must carefully situate their work with regard to the relevant scientific literature. They must clearly address research issues related to containerization, microservices and serverless cloud computing and showcase the role of modeling and simulation in these domains. Topics of interest include, but are not limited to: - Management, orchestration and scheduling of containers and microservices in cloud computing platforms - Performance evaluation of containerization engines - Security, isolation and data privacy issues in communication and management of containers and microservices - Fault tolerance, high availability and scalability for containerized workloads - Security concerns in serverless cloud computing models - Real-time and stream processing applications for serverless cloud computing - Modeling and benchmarking of Function as a Service (FaaS) applications - Data management for serverless cloud computing - Utilizing containers and microservices in serverless cloud computing models - Serverless cloud computing for Big Data and the Internet of Things (IoT)
Last updated by Dou Sun in 2021-05-31
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