An XML based system of systems agent-in-the-loop simulation framework using discrete event simulation

Hosking, Matthew; Sahin, Ferat

doi:10.1109/icsmc.2009.5346210

Cited by 5 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Traditionally used as a prototyping and validation technique for embedded systems, HIL simulation has evolved as a methodology for synergistic system integration and optimization (Schludermann, Kirchmair, and Vorderwinkler 2000;Papp, Dorrepaal, and Verburg 2003;Hosking and Sahin 2009). A HIL simulation is a control system that combines a physical system under test (SUT) and a virtual simulation environment within a bidirectional closed loop (Fathy et al 2006).…”

Section: Related Workmentioning

confidence: 99%

Hardware-in-the-loop simulation for automated benchmarking of cloud infrastructures

Liu¹,

Silva²,

Hines³

et al. 2012

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)

View full text Add to dashboard Cite

To address the challenge of automated performance benchmarking in virtualized cloud infrastructures, an extensible and adaptable framework called CloudBench has been developed to conduct scalable, controllable, and repeatable experiments in such environments. This paper presents the hardware-in-the-loop simulation technique used in CloudBench, which integrates an efficient discrete-event simulation with the cloud infrastructure under test in a closed feedback control loop. The technique supports the decomposition of complex resource usage patterns and provides a mechanism for statistically multiplexing application requests of varied characteristics to generate realistic and emergent behavior. It also exploits parallelism at multiple levels to improve simulation efficiency, while maintaining temporal and causal relationships with proper synchronization. Our experiments demonstrate that the proposed technique can synthesize complex resource usage behavior for effective cloud performance benchmarking.

show abstract

Section: Related Workmentioning

confidence: 99%

Hardware-in-the-loop simulation for automated benchmarking of cloud infrastructures

Liu¹,

Silva²,

Hines³

et al. 2012

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)

View full text Add to dashboard Cite

show abstract

“…Sahin et al have used a SoS architecture to integrate a humancontrolled robot with other swarm robots and sensor to achieve a common goal of threat detection [5]. Hosking and Sahin extended the XML framework for SoS architectures to demonstrate use in modeling and simulation of swarm robots and threat detection [7]. Previously work with implementing a SoS framework with XML as the communication and data standard has been completed [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Net-centric System of Systems framework for human detection

Bowen

Sahin

2013

2013 8th International Conference on System of Systems Engineering

Self Cite

View full text Add to dashboard Cite

System of Systems (SoS) architectures have been used to conceptually define complex systems. However, very few SoS architectures have been physically realized to solve real-world problems. Proposed in this work is the full realization of a net-centric SoS architecture used to implement and integrate a complex system used to automate human detection from an image source. A SoS architecture was selected to implement the human detection system due to a SoS's ability to achieve high levels of interoperability. This high level of interoperability is feasible via standardization of communication and by structuring information to conform to a proposed XML framework. Additionally, each individual system within the SoS hierarchy is functionally decomposed based on sets defined services that each system requires and provides. Moreover, a new concept of a commonly implemented directory service is used to initialize system communication and automate SoS architecture discovery.

show abstract

“…• An early-stage development can be done and tested before implementation HILS and discrete event modeling are co-related to each other since the discrete event modeling provides a formalism and communication between two atomic models or coupled models. The desire to have a seamless migration from initial development simulations to deployed systems in the field is referred to as 'model continuity' (Hosking and Sahin 2009).…”

Section: Hardware-in-loop Simulationmentioning

confidence: 99%

Formalization of Cyber-Physical System Interface using Discrete Event System Specifications

Jiresal¹

View full text Add to dashboard Cite

Cyber-Physical systems are complex engineered systems that integrate embedded computing into the physical environment. These systems are considered to be "safetycritical" due to their application in the field of medical, transportation, or building control.CPS is composed of tight coupling of the physical and cyber worlds, and the interfaces are interactions that are defined as a bridge between these worlds. The interface is a fundamental characteristic of a CPS and CPS cannot function without it.In this thesis, we propose an architecture of the CPS interface in Discrete EVent System Specification (DEVS) that mimics the functionality of CPS interactions. DEVS provides a formal platform for M&S of discrete event dynamic systems. We propose a DEVS simulation model named DCIF (DEVS CPS Interface Framework) that portrays the complete working of the CPS interface. Later, we also implement and evaluate this interface on real-time hardware. The architecture is verified by creating a synthetic environment that includes multiple test cases in the simulation as well as real-time implementation. Additionally, we apply this framework to a practical case study in the field of building information modeling. Chapter 1: IntroductionCyber-physical systems (CPS) are next-generation engineered systems that integrate embedded computing into the physical environment. Cyber-physical systems are embedded systems where the importance is to be more on an intense link between the computational and physical elements. CPS has been defined by various researchers from different perspectives. For instance, (Marwedel 2006) defines CPS as "embedded systems together with their physical environment" while (Helen 2008) describes CPS as "physical, and engineered systems whose operations are integrated, monitored, and controlled by a computational core". CPSs are made up of the physical world, interfaces, and cyber world (Gunes 2014). Some examples of the application of CPS include air traffic control systems, medical devices, and equipment, railway cross control systems, automotive airbag, smart homes, building systems, etc. (Khaitan and McCalley 2015).The physical components of a CPS are responsible to convert physical quantities from one form to other and interact with the cyber world for analog/digital signal transfers. The cyber-world, on the other hand, consists of embedded computational devices that process information and communication in a virtual environment. This world is often referred to as the computational core. The interfaces are interactions that are defined as a bridge between the cyber world and the physical world.CPS consists of two interfaces -physical interfaces and cyber interfaces (Fromel 2016).The sensors and the actuators are physical devices that perform physical interfacing tasks.While the embedded computational devices interface at a cyber level with the exchange of information. These physical and cyber interactions are fundamental characteristics in a

show abstract

An XML based system of systems agent-in-the-loop simulation framework using discrete event simulation

Cited by 5 publications

References 17 publications

Hardware-in-the-loop simulation for automated benchmarking of cloud infrastructures

Hardware-in-the-loop simulation for automated benchmarking of cloud infrastructures

Net-centric System of Systems framework for human detection

Formalization of Cyber-Physical System Interface using Discrete Event System Specifications

Contact Info

Product

Resources

About