DEVS Standardization

Wainer, Gabriel; Al-Zoubi, Khaldoon; Dalle, Olivier; Hill, David; Mittal, Saurabh; Martı́n, José; Sarjoughian, Hessam S.; Touraille, Luc; Traoré, Mamadou Kaba; Zeigler, Bernard P.

doi:10.1201/b10412-20

Cited by 6 publications

(5 citation statements)

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“…As a proof of concept of a semantic synchronization protocol with specific requirements, the scheme in this section can be used to standardize synchronization interfaces between different DEVS implementations [41]. To do so, the scheme uses a centralized time manager, as adopted by the P-DEVS synchronization protocol [46] (which, implemented by most existing DEVS tools, is the basis for the current efforts on DEVS standardization [41]).…”

Section: Distributed Simulation Standards Foundationsmentioning

confidence: 99%

“…To do so, the scheme uses a centralized time manager, as adopted by the P-DEVS synchronization protocol [46] (which, implemented by most existing DEVS tools, is the basis for the current efforts on DEVS standardization [41]). …”

Section: Distributed Simulation Standards Foundationsmentioning

confidence: 99%

“…Discrete Event System Specification (DEVS) [46] is a modeling and simulation formalism that has been widely used through many different implementations over the last three decades to study complex discrete event systems. A number of DEVS-based implementations are presented in [41]. However, we realized that it was not possible due to the restrictions imposed by SOAP WS structural rules.…”

Section: Introductionmentioning

confidence: 99%

“…These issues became obvious during the current efforts on standardization of Discrete Event System Specifications (DEVS) [46]. This standardization effort is aiming on interoperating various DEVS-based implementations systems via the Web [41].…”

Section: Introductionmentioning

confidence: 99%

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RISE: A general simulation interoperability middleware container

Al-Zoubi

Wainer

2013

Journal of Parallel and Distributed Computing

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a b s t r a c tIn recent years, new services on the Internet have enabled global cooperation; in particular, the Web has enabled new distributed simulation technology. Much research has been devoted to develop middleware interoperability methods on the Web. However, most existing methods have constraints in the structural rules that are placed on the design of middleware interoperability methods. For example, such constraints make it difficult to enhance interoperability via decoupling systems implementations and design, which is essential in open computing networks, as in the case of the Web. In order to achieve such objectives we present the RISE (RESTful Interoperability Simulation Environment) middleware. This all-purpose WS-based distributed simulation middleware decouples design and implementation while allowing composition scalability and dynamicity. Furthermore, it supports experiment-oriented frameworks and has the ability to put Web 2.0 services in the simulation loop. RISE is the first existing middleware to achieve such objectives, and the first to employ RESTful Web-services. We present the foundations for meeting the above objectives, and the distinct characteristics of RISE from existing Web-based approaches.

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Section: Distributed Simulation Standards Foundationsmentioning

confidence: 99%

Section: Distributed Simulation Standards Foundationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

RISE: A general simulation interoperability middleware container

Al-Zoubi

Wainer

2013

Journal of Parallel and Distributed Computing

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“…The Representational State Transfer (REST) Web-services [170] provide interoperability by imitating the Web architectural style and principles. Recently, a RESTful Interoperability Simulation Environment (RISE) [179] was introduced allowing for interoperating heterogeneous simulation models and tools regardless of their underlying technology or algorithms.…”

Section: Web-based Pdesmentioning

confidence: 99%

Synchronization methods in parallel and distributed discrete-event simulation

Jafer

Liu

Wainer

2013

Simulation Modelling Practice and Theory

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a b s t r a c tThis work attempts to provide insight into the problem of executing discrete event simulation in a distributed fashion. The article serves as the state of the art in Parallel DiscreteEvent Simulation (PDES) by surveying existing algorithms and analyzing the merits and drawbacks of various techniques. We discuss the main characteristics of existing synchronization methods for parallel and distributed discrete event simulation. The two major categories of synchronization protocols, namely conservative and optimistic, are introduced and various approaches within each category are presented. We also present the latest efforts towards PDES on emerging platforms such as heterogeneous multicore processors, Web services, as well as Grid and Cloud environment.Ó 2012 Elsevier B.V. All rights reserved. Parallel discrete-event simulationWith the computing power and advanced software available today, modeling and simulation has become a cost-effective tool for detailed analysis of a broad array of natural and artificial systems. Parallel and distributed simulation is widely accepted as the technology of choice to speed up large-scale discrete-event simulation and to promote reusability and interoperability of simulation components. Parallel Discrete-Event Simulation (PDES) has received increasing interest as simulations become more time consuming and geographically distributed. A rich literature has already been developed in the last three decades, taking advantage of the increasing availability of highly parallel and distributed computing platforms. It has been several years since the last survey by Perumalla [5] and a refreshed review of the latest developments would be needed for us to ponder new research initiatives, especially on emerging platforms such as many-core processors, Internetscale simulation environments, and cloud-based virtualized infrastructures.In parallel and distributed simulations, the entire simulation task is divided into a set of smaller subtasks with each executed on a different processor or node. Hence, the simulation system is viewed as a collection of concurrent processes, each modeling a different part of the physical system and executing on a dedicated processor in a sequential fashion. These processes communicate with each other by exchanging time-stamped event messages. An event refers to an update to simulation system state at a specific simulation time instant. Throughout the simulation, events arrive at destination processes, and depending on the delivery ordering system of the simulation, they are processed differently. The two commonly used orderings are (1) receive-order and (2) timestamp-order. With the first type, events are delivered to the destination processes when they arrive at the destination. On the other hand, with the timestamp-order, events are delivered in non-decreasing order of their timestamp, requiring runtime checks and buffering to ensure such ordering.1569-190X/$ -see front matter Ó

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Distributed Simulation Using RESTful Interoperability Simulation Environment (RISE) Middleware

Al-Zoubi

Wainer

2011

Intelligent Systems Reference Library

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DEVS Standardization

Cited by 6 publications

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RISE: A general simulation interoperability middleware container

RISE: A general simulation interoperability middleware container

Synchronization methods in parallel and distributed discrete-event simulation

Distributed Simulation Using RESTful Interoperability Simulation Environment (RISE) Middleware

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