Framework for Simulation of Hybrid Systems: Interoperation of Discrete Event and Continuous Simulators Using HLA/RTI

Sung, Chang Sup; Kim, Tag Gon

doi:10.1109/pads.2011.5936768

Cited by 28 publications

(13 citation statements)

References 9 publications

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“…Sung and Kim proposed a framework for the simulation of continuous and discrete event systems. The framework uses an adaptor‐based approach comprising an HLA interface, algorithms for synchronization, and modules for data conversion to achieve interoperability between existing hybrid system simulators.…”

Section: Literature Reviewmentioning

confidence: 99%

Toward scalable cloud data center simulation using high‐level architecture

et al. 2019

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Existing simulators are designed to simulate a few thousand nodes due to the tight integration of modules. Thus, with limited simulator scalability, researchers/developers are unable to simulate protocols and algorithms in detail, although cloud simulators provide geographically distributed data centers environment but lack the support for execution on distributed systems.In this paper, we propose a distributed simulation framework referred to as CloudSimScale. The framework is designed on top of highly adapted CloudSim with communication among different modules managed using IEEE Std 1516 (high-level architecture). The underlying modules can now run on the same or different physical systems and still manage to discover and communicate with one another. Thus, the proposed framework provides scalability across distributed systems and interoperability across modules and simulators. KEYWORDSbroker, cloud computing, CloudSim, distributed simulation, HLA, RTI INTRODUCTIONCloud data centers provide services in the form of infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS). With flexible resource provisioning model on back-end data centers, it allows users to deploy applications from anywhere using dynamically allocated resources as per requirements in the service-level agreement. The most well-known cloud service providers are Amazon EC2 * , Microsoft Azure † , Google cloud ‡ , and IBM § with emerging cloud-based applications like content delivery, navigation systems, social networks, and many more.Evidently, the main contribution of cloud computing is the provision of a dynamic virtual environment that scales transparently to support a large number of users concurrently. This comes with provisioning of cloud services in pay-as-you-go-model, while the cloud providers are responsible for ensuring the quality of services. In general, it is difficult Abbreviations: IaaS, infrastructure-as-a-service; HLA, high-level architecture; RTI, runtime infrastructure; LRC, local RTI components; CRC, central RTI component; CIS, cloud information service.Recent contributions in cloud simulation environment mainly focus on scheduling algorithms, VM migrations, software-defined networking-based networking, and energy efficiency. However, there is limited work toward scalability of existing simulators. Most of them at most support simulation with a few thousands of nodes. Due to this limitation, researchers often find it difficult to simulate realistic data center models. In this paper, we have proposed CloudSim-Scale based on CloudSim to provide access to a scalable environment for researchers. The framework decouples existing CloudSim modules so that they can be independently placed on different systems. Thus, to support the resulting intercommunication among the modules, a separate layer of HLA-RTI is implemented. Furthermore, CloudSimScale allows the integration of various simulators to facilitate researchers in simulating complex scenarios. For instance, internet of things (IoT)/edge s...

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Section: Literature Reviewmentioning

confidence: 99%

Toward scalable cloud data center simulation using high‐level architecture

et al. 2019

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“…One approach simulates continuous and discrete event models with appropriate interfaces in an environment [35]- [36]. The other approach simulates the two models in a set of interoperable environments in which each model is simulated by its own environment and is capable of communicating with the other model [37]- [38]. Note that the former reuses only models and that the latter reuses both models and simulation environments.…”

Section: Convergence Technology For Cps Mands 1 Cps As Hybrid Sosmentioning

confidence: 99%

System of Systems Approach to Formal Modeling of CPS for Simulation-Based Analysis

Lee¹,

Hong²,

Kim³

2015

ETRI J

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This paper presents a system-of-systems (SoS) approach to the formal modeling of a cyber-physical system (CPS) for simulation-based analysis. The approach is based on a convergence technology for modeling and simulation of a highly complex system in which SoS modeling methodology, hybrid systems modeling theory, and simulation interoperation technology are merged. The methodology maps each constituent system of a CPS to a disparate model of either continuous or discrete types. The theory employs two formalisms for modeling of the two model types with formal specification of interfaces between them. Finally, the technology adapts a simulation bus called DEVS BUS whose protocol synchronizes time and exchange messages between subsystems simulation. Benefits of the approach include reusability of simulation models and environments, and simulation-based analysis of subsystems of a CPS in an inter-relational manner.

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“…분산전장 모의환경 의 구축에서, 모델링은 이산사건 시스템 형식론인 DEVS (Discrete Event System Specification) 형식론 [7] 을 따르 며, 분산 시스템은 미국 국방성 표준인 HLA (High Level Architecture) / RTI (Run Time Infrastructure) [8] 를 를 이용하여 분산전장 모의환경을 구축한다. …”

Section: 서 론unclassified

Study of Development for Distributed Battlefield Simulation Environment : One-to-One Single Unit Engagement Model

Choi¹,

Moon²,

Kim³

et al. 2015

Journal of the Korea Society for Simulation

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Modern warfare, which adopt an intensive technique of applied sciences, is difficult to predict, and has a high complexity. Thus, it is necessary to build a battle-field environment and simulation-based analysis. Various organizations are participated to build battlefield model for defense M&S according to a scale and format. On the basis of this trend, approaching from various systems is needed to reconfigure battlefield modeling for distributed system. This paper proposes building design for battlefield simulation environment with a sample of one-to-one single unit engagement model. The proposed method can expect to utilize an example of distributed environment for various participants that are involved in battlefield modeling and simulation.

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Framework for Simulation of Hybrid Systems: Interoperation of Discrete Event and Continuous Simulators Using HLA/RTI

Cited by 28 publications

References 9 publications

Toward scalable cloud data center simulation using high‐level architecture

Toward scalable cloud data center simulation using high‐level architecture

System of Systems Approach to Formal Modeling of CPS for Simulation-Based Analysis

Study of Development for Distributed Battlefield Simulation Environment : One-to-One Single Unit Engagement Model

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