Dynamic Grid-Based Approach to Data Distribution Management

Boukerche, Azzedine; Roy, Amber Joyce

doi:10.1006/jpdc.2001.1799

Cited by 52 publications

(55 citation statements)

References 6 publications

(11 reference statements)

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“…The multi-dimensional coordinate system, known as a routing space, is a grid without partitions [5], within which a federate declares interest in receiving or sending state updates and interaction notifications. We declare routing spaces through the HLA's federation execution data data interchange format (FED DIF), which is a standard file exchange format [1,11] to facilitate the use of tools for data file transfer and exchange between federates.…”

Section: Routing Spacementioning

confidence: 99%

Performance evaluation of Data Distribution Management strategies

Boukerche

Dzermajko

2004

Concurrency and Computation

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SUMMARYData Distribution Management (DDM) is a High Level Architecture/Run-Time Infrastructure (HLA/RTI) service that manages the distribution of state updates and interaction information in large-scale distributed simulations and limits and controls the volume of data exchanged during the simulation.In this paper, we describe a mini-RTI framework that we have developed in an effort to determine the most efficient model for applying the DDM service and the limitations of the scalability of various DDM methods. We study and compare the performance of the following five DDM strategies: two variations of the fixed-based method, two variations of the dynamics grid-based scheme and the region-based method. Due to a lack of accepted benchmarks, we also propose a variety of workloads and scenarios, which we hope will become a standards benchmark within the distributed simulation communities.

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Section: Routing Spacementioning

confidence: 99%

Performance evaluation of Data Distribution Management strategies

Boukerche

Dzermajko

2004

Concurrency and Computation

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“…In [18], a conservative approach is proposed to balance the load during runtime. In [32], an efficient, scalable scheme is proposed for distributing state updates and interaction information in large-scale distributed simulations.…”

Section: Dynamic Load Balancing Using Grid Services For Hlabased Simumentioning

confidence: 99%

A Multi-Layered Scheme for Distributed Simulations on the Cloud Environment

Guan

Grande

Boukerche

2019

IEEE Trans. Cloud Comput.

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In order to improve simulation performance and integrate simulation resources among geographically distributed locations, the concept of distributed simulation is proposed.Several types of distributed simulation standards, such as DIS and HLA are established to formalize simulations and achieve reusability and interoperability of simulation components. In order to implement these distributed simulation standards and manage the underlying system of distributed simulation applications, Grid Computing and CloudComputing technologies are employed to tackle the details of operation, configuration, and maintenance of the simulation platforms in which simulation applications are deployed. However, for modelers who may not be familiar with the management of distributed systems, it is challenging to create a simulation-run-ready environment that incorporates different types of computing resources and network environments. In this thesis, we propose a new multi-layered cloud-based scheme for enabling modeling and simulation based on different distributed simulation standards. The scheme is designed to ease the management of underlying resources and achieve rapid elasticity, providing unlimited computing capability to end users; energy consumption, security, multi-user availability, scalability and deployment issues are all considered. We describe a mechanism for handling diverse network environments. With its adoption, idle public resources can easily be configured as additional computing capabilities for the local resource pool.A fast deployment model is built to relieve the migration and installation process of this platform. An energy conservation strategy is utilized to reduce the energy consumption of computing resources. Security components are also implemented to protect sensitive information and block malicious attacks in the cloud. In the experiments, the proposed scheme is compared with its corresponding grid computing platform; the cloud computing platform achieves a similar performance, but incorporates many of the cloud's advantages.ii

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“…HLA's DDM service provides the ability to associate individual simulation nodes ('federates') with subscription regions (equivalent to Range-Queries) and individual updates with update regions (equivalent to writes). In HLA, Cell-based architectures map queries to multicast groups that correspond to discrete cells in a grid overlay [Hook et al 1994;Boukerche and Roy 2002;Macedonia et al 1995;Morse 2000;Berrached et al 1998] while Region-based approaches calculate explicitly the overlaps between regions themselves [Morse and Zyda 2002]. Similarly, several cellbased [Knutsson et al 2004;Yu and Vuong 2005;Minson and Theodoropoulos 2007], zone-based [Barrus et al 1996] and aura-based [Morgan et al 2004;Hu and Liao 2004] IM approaches have been proposed to support Range-Queries in the context of DVEs and Massively-Multiplayer Online games.…”

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confidence: 99%

Synchronised range queries in distributed simulations of multiagent systems

Suryanarayanan

Theodoropoulos

2013

ACM Trans. Model. Comput. Simul.

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Peer-reviewedCitation for published item: Suryanarayanan, V. and Theodoropoulos, G. (2013) 'Synchronised range queries in distributed simulations of multi-agent systems.', ACM transactions on modeling and computer simulation., 23 (4). p. 25.Further information on publisher's website:http://dx.doi.org/10.1145/2517449Publisher's copyright statement:Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Range-Queries are an increasingly important associative form of data access encountered in different computational environments including Peer to Peer systems, Wireless communications, Database systems, Distributed Virtual Environments and, more recently, distributed simulations. In this paper, we present and evaluate a system for performing logical-time synchronised Range-Queries over data in the context of distributed simulations of Multi-Agent Systems (MAS). The paper presents algorithms performing instantaneous Queries within an optimistic synchronisation framework and in the presence of dynamic migration of the simulation state. A quantitative evaluation of the effectiveness of the proposed algorithms under different conditions is also presented.

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Dynamic Grid-Based Approach to Data Distribution Management

Cited by 52 publications

References 6 publications

Performance evaluation of Data Distribution Management strategies

Performance evaluation of Data Distribution Management strategies

A Multi-Layered Scheme for Distributed Simulations on the Cloud Environment

Synchronised range queries in distributed simulations of multiagent systems

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