A decoupled federate architecture for high level architecture-based distributed simulation

Chen, Dan; Turner, Stephen J.; Cai, Wentong; Xiong, Muzhou

doi:10.1016/j.jpdc.2008.07.010

Cited by 42 publications

(31 citation statements)

References 18 publications

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“…The RTI services are provided to each federate through its Local RTI Component (LRC) [5] [7]. The RTI can be viewed as a distributed operating system providing services to support interoperable simulations executing in distributed computing environments [11].…”

Section: Grid System Architecturementioning

confidence: 99%

“…The benchmark measures the latency of federate communications as follows: One federate (on A1) sends an attribute update [7][15] [17], and upon receiving this update, the other federate (on B1) sends it back to the sending federate. The elapsed time of this communication is calculated using the real-time taken at the sending and reflecting federates [5] [6]. The averaged result indicates that the latency is about 373 milliseconds.…”

Section: Communication Latencymentioning

confidence: 99%

“…In the last few years, there have been a lot of successful attempts of incorporating Grid [23][24] [32] and Cloud technologies [1][2] [3] [18] [22] [25][27] to foster large simulations over the Internet, such as the Grid-aware Time Warp Kernel [16] and the HLA_Grid_RePast framework [5] [6]. However, these simulation systems are only suited for executing coarse-grained models due to the limited network bandwidth between different administrative domains.…”

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confidence: 99%

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Hybrid modelling and simulation of huge crowd over a hierarchical Grid architecture

Chen

Wang

et al. 2013

Future Generation Computer Systems

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Section: Grid System Architecturementioning

confidence: 99%

Section: Communication Latencymentioning

confidence: 99%

mentioning

confidence: 99%

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Hybrid modelling and simulation of huge crowd over a hierarchical Grid architecture

Chen

Wang

et al. 2013

Future Generation Computer Systems

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“…Distributed simulation technologies are a paradigm to model dynamic, heterogeneous, and spatial distributed systems. They not only aim at speeding up simulations, but also serve as strategic technologies for linking simulation components of various types [6]. Distributed technologies can run with different components installed on different computers linked via a local network so as to accelerate the execution time of the simulation [7].…”

Section: Introductionmentioning

confidence: 99%

Common Architecture for Simulation of Critical Infrastructure Interdependencies in Emergency Situations

Kirov¹,

Златева²,

Velev³

2016

IJMO

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Abstract-The paper discusses the main issues involved in a simulation of complex interdependent systems, which are a part of the Critical Infrastructure (CI). The purpose is to present a common architecture for simulation of critical infrastructure interdependencies in emergency situations. An analysis of the interdependencies between critical infrastructure elements and explanations of the process of development HLA/RTI (High Level Architecture/Run Time Infrastructure) simulations for study of CI elements are carried out. The approach provides a possibility of performing an assessment of the elements of the CI and their interdependencies affected by emergency situations as natural disasters.Index Terms-Critical infrastructure, HLA/RTI, distributed simulations, emergency situations, natural disasters. I. INTRODUCTIONCritical Infrastructure (CI) elements comprise a lot of basic facilities, services, information systems, and communication networks needed for the functioning of a community or society. People are becoming more and more dependent from these resources and assets due to the critical operations and infrastructures they support [1]. However, the infrastructure objects are vulnerable to a variety of disruptions, ranging from mild (short-term power outage, disk drive failure) to severe (natural disaster, equipment destruction, fire). Moreover, the infrastructure elements have complex relationships and interdependencies that cross infrastructure boundaries. This fact increases the spectrum of the threads. It raises the question for effective emergency management that considers infrastructure interdependencies and vulnerability so that the appropriate control can be put into place to either prevent incidents from happenings or to limit the effect of an incident [2]. In addition to this, the complex interdependencies between the components resulting in the mutual provision of services and use of common communications network, these systems cannot be studied directly. For example, it is not possible to directly test the effect of controlled shut-down procedures for segments of the power grid, the spread of a computer virus, or the spread of a disease vector under different vaccination options without having potentially drastic economic, safety or health impacts. For infrastructure networks, replicating all or even a part of the physical infrastructure may be prohibitively expensive. In both these cases, computational modeling and Manuscript received December 9, 2015; revised March 23, 2016. This work was supported in part by the Bulgarian National Science Fund for the support under the Grant № DFNI-I02/ 15 from 2014.The authors are with the ISER, Bulgarian Academy of Sciences, Sofia 1113, Bl. 2, Bulgaria (e-mail: g_tk@abv.bg, plamzlateva@abv.bg, gvelev@unwe.bg).simulation provides a safe and cost-effective alternative that can help enormously in developing needed understanding. The above-mentioned considerations show that the CI protection has to be a purpose not only of common strategies but also this problem...

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“…In addition, as suggested by [11] a contract net based protocol need to be considered in order to implement the negotiation development process among the agent in the supply chain. In this same line important is to highlight the decoupled federated model presented by [7] in where distributed supply chains simulation cloning, fault tolerance and interoperability [13] are considered. Under this interoperability concept, the ontology issue to support the standard agent communication has been considered by [21], where a negotiation model is supported by three layers to give the flexibility to the negotiation ontology: the negotiation, the semantic and the knowledge management system layer.…”

Section: Introductionmentioning

confidence: 99%

A Multiagent Negotiation Based Model to Support the Collaborative Supply Chain Planning Process

Hernández¹,

Poler²,

Pavón³

2011

SIC

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Multiagent systems are inherently distributed and support well the modelling of organizational issues such as negotiation mechanisms and workflows. In this sense, a decentralized supply chain configuration process can be easily modelled as an information sharing processes where nodes (agents) collaborate, for example, in planning and decision-making. This paper presents a novel collaborative planning model for supply chain networks that supports a distributed negotiation process from a decentralized perspective. The hypothesis presented herein is that by collaborating in the information exchange related with the visibility of the demand plans, improvements on the total profit level of the supply chain nodes, and of the supply chain as whole, can be found.

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A decoupled federate architecture for high level architecture-based distributed simulation

Cited by 42 publications

References 18 publications

Hybrid modelling and simulation of huge crowd over a hierarchical Grid architecture

Hybrid modelling and simulation of huge crowd over a hierarchical Grid architecture

Common Architecture for Simulation of Critical Infrastructure Interdependencies in Emergency Situations

A Multiagent Negotiation Based Model to Support the Collaborative Supply Chain Planning Process

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