Architectural Design Space for Modelling and Simulation as a Service: A Review

Shahin, Mojtaba; Babar, Muhammad Ali; Chauhan, Muhammad Aufeef

doi:10.1016/j.jss.2020.110752

Cited by 14 publications

(3 citation statements)

References 49 publications

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“…Therefore, based on their experience in the agile software engineering process and simulation technology, they proposed a simulation-as-a-service approach that uses containers to help scale the solution and abstract the processing distribution complexity. Shahin et al [46] presented a systematic review of works with different strategies and architectures for Modeling and Simulationas-a-Service (MSaaS). We can note, by reading the articles, that many approaches used a container solution to provide a distributed, parallel, and scalable solution together with cloud services.…”

Section: Methodology For Performance Assessmentmentioning

confidence: 99%

Towards a Secure and Scalable Maritime Monitoring System Using Blockchain and Low-Cost IoT Technology

Freire

Melo

Nascimento

et al. 2022

Sensors

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Maritime Domain Awareness (MDA) is a strategic field of study that seeks to provide a coastal country with an effective monitoring of its maritime resources and its Exclusive Economic Zone (EEZ). In this scope, a Maritime Monitoring System (MMS) aims to leverage active surveillance of military and non-military activities at sea using sensing devices such as radars, optronics, automatic Identification Systems (AISs), and IoT, among others. However, deploying a nation-scale MMS imposes great challenges regarding the scalability and cybersecurity of this heterogeneous system. Aiming to address these challenges, this work explores the use of blockchain to leverage MMS cybersecurity and to ensure the integrity, authenticity, and availability of relevant navigation data. We propose a prototype built on a permissioned blockchain solution using HyperLedger Fabric—a robust, modular, and efficient open-source blockchain platform. We evaluate this solution’s performance through a practical experiment where the prototype receives sensing data from a Software-Defined-Radio (SDR)-based low-cost AIS receiver built with a Raspberry Pi. In order to reduce scalability attrition, we developed a dockerized blockchain client easily deployed on a large scale. Furthermore, we determined, through extensive experimentation, the client optimal hardware configuration, also aiming to reduce implementation and maintenance costs. The performance results provide a quantitative analysis of the blockchain technology overhead and its impact in terms of Quality of Service (QoS), demonstrating the feasibility and effectiveness of our solution in the scope of an MMS using AIS data.

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Section: Methodology For Performance Assessmentmentioning

confidence: 99%

Towards a Secure and Scalable Maritime Monitoring System Using Blockchain and Low-Cost IoT Technology

Freire

Melo

Nascimento

et al. 2022

Sensors

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“…In [21], the authors performed a bibliographic search to categorize MSaaS systems (strengths and weaknesses) according to the architectural styles that can affect their functionality. The main results of this study can be summarized in four headings:…”

Section: Related Workmentioning

confidence: 99%

Towards a DEVS Model Management System for Decision-Making Web Applications

Capocchi

Santucci

2023

Information

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The discrete event system specification formalism introduced by Zeigler in the 1970s is ideally associated with new technological advances in the web to offer an almost quasi-automatic mechanism for exporting its simulation models associated with experimental frames into web apps. In this paper, we show how, thanks to the association of certain current web concepts (cloud computing, application virtualization, etc.), discrete event system specification formalism makes it easier to develop web apps that use simulation models to assist decision-making. We propose a simulation model management system used by teams of data scientists, modelers, and developers (engineers) capable of building and deploying web applications from simulation models with minimal web development knowledge.

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“…Based on the needs for industrial internet interaction, interconnection and complex system modeling, it is crucial to promote the industrial software to the lightweight cloud-based industrial platform. To maximize the utilization of the modeling and simulation tools, there comes up a paradigm called Modeling and Simulation as a Service (MSaaS) [8], which is expected to (1) provide scalable and composable facilities. (2) make underlying infrastructure and platform transparent to users.…”

Section: Introductionmentioning

confidence: 99%

Asynchronous and composable distributed co-simulation engine design for cloud-based industrial CAE software

Zhou,

Cao,

et al. 2023

Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023)

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The industrial Internet can be seen as a combination of industrial software, sensors, networks and cloud platforms. Among them, industrial software is the key to data utilization while the cloud platform provides support for Industrial Internet. Through "visualization", "structuring", "modeling and simulation" and other means, industrial software can help solve the design and manufacturing problems of industrial products. But the difference between industrial Internet and traditional Internet lies in the different application scenarios and data characteristics, which also leads to the different emphasis of system architecture design. Considering the needs of high concurrency and huge data processing, the distributed system must provide high performance of communication and computing services. In addition, with the continuous expansion of the simulation model and the simulation scale, it becomes particularly significant to reduce the model development complexity and improve maintainability and flexibility. To make the distributed co-simulation engine more highperformance, we propose an asynchronous communication module as the underlying architecture of the distributed engine. Then combining the discrete event system specification and Actor model, a layered architecture has been proposed, which implements the modular programming of behavioral model by functional programming. Based on the architecture mentioned above, a distributed CAE cloud platform is proposed, which is hierarchical, modular, composable and reusable.

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Architectural Design Space for Modelling and Simulation as a Service: A Review

Cited by 14 publications

References 49 publications

Towards a Secure and Scalable Maritime Monitoring System Using Blockchain and Low-Cost IoT Technology

Towards a Secure and Scalable Maritime Monitoring System Using Blockchain and Low-Cost IoT Technology

Towards a DEVS Model Management System for Decision-Making Web Applications

Asynchronous and composable distributed co-simulation engine design for cloud-based industrial CAE software

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