Distributed simulation of large-scale PCS networks

Author(s):  
C.D. Carothers ◽  
R.M. Fujimoto ◽  
Y.-B. Lin ◽  
P. England
Author(s):  
András Varga ◽  
Ahmet Y. Şekercioğlu Şekercioğlu

This paper reports a new parallel and distributed simulation architecture for OMNeT++, an open-source discrete event simulation environment. The primary application area of OMNeT++ is the simulation of communication networks. Support for a conservative PDES protocol (the Null Message Algorithm) and the relatively novel Ideal Simulation Protocol has been implemented.Placeholder modules, a novel way of distributing the model over several logical processes (LPs) is presented. The OMNeT++ PDES implementation has a modular and extensible architecture, allowing new synchronization protocols and new communication mechanisms to be added easily, which makes it an attractive platform for PDES research, too. We intend touse this framework to harness the computational capacity of highperformance cluster computersfor modeling very large scale telecommunication networks to investigate protocol performance and rare event failure scenarios.


2000 ◽  
Vol 01 (03) ◽  
pp. 173-193 ◽  
Author(s):  
AZZEDINE BOUKERCHE

Parallel and distributed simulation techniques have been investigated in a number of studies to decrease the execution times of PCS network simulations. In this paper, we consider distributed simulation of PCS models using a two-state PCS simulation testbed which makes use of a conservative scheme at Stage 1, and of Time Warp at Stage 2, and focus upon the load balancing issue. We investigate and study several load balancing schemes for TDMA systems. Extensive simulation experiments were conducted on a cluster of workstations using a real suburban area serviced by an FCA-based PCS networks. Our results indicate clearly that careful load balancing scheme is important in the success of the PCS simulation model.


Author(s):  
Yu-Cheng Chou ◽  
David Ko ◽  
Harry H. Cheng ◽  
Roger L. Davis ◽  
Bo Chen

Two challenging problems in the area of scientific computation are long computation time and large-scale, distributed, and diverse data sets. As the scale of science and engineering applications rapidly expands, these two problems become more manifest than ever. This paper presents the concept of Mobile Agent-based Computational Steering (MACS) for distributed simulation. The MACS allows users to apply new or modified algorithms to a running application by altering certain sections of the program code without the need of stopping the execution and recompiling the program code. The concept has been validated through an application for dynamic CFD data post processing. The validation results show that the MACS has a great potential to enhance productivity and data manageability of large-scale distributed computational systems.


2013 ◽  
Vol 40 (9) ◽  
pp. 917-926 ◽  
Author(s):  
Farzaneh Saba ◽  
Yasser Mohamed

This paper describes an ontology-driven framework for developing distributed simulation modeling of construction processes. The research described in the paper is motivated by the necessity of knowledge sharing between distributed simulation modeling collaborators, and reuse and portability challenges in construction simulation models. Our approach addresses these challenges through ontological modeling and linking of construction simulation modeling components including (i) ontology of construction process, (ii) ontology of simulation world view, and (iii) ontology of distributed simulation modeling application tool. Within the paper, ontology driven approach and mapping of ontologies for information transference between simulation components has been described. Another discussed application of ontologies is structuring of simulation modeling development through use of reusable elements. A large-scale distributed simulation model of industrial construction processes has been outlined to illustrate the application of the approach.


1998 ◽  
Vol 6 (2) ◽  
pp. 149-163 ◽  
Author(s):  
Roberto Beraldi ◽  
Libero Nigro
Keyword(s):  

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Meng Chi ◽  
Shufen Liu ◽  
Changhong Hu

In the large-scale distributed simulation area, the topology of the overlay network cannot always rapidly adapt to frequently changing application traffic to reduce the overall traffic cost. In this paper, we propose a self-adapting routing strategy for frequently changing application traffic in content-based publish/subscribe system. The strategy firstly trains the traffic information and then uses this training information to predict the application traffic in the future. Finally, the strategy reconfigures the topology of the overlay network based on this predicting information to reduce the overall traffic cost. A predicting path is also introduced in this paper to reduce the reconfiguration numbers in the process of the reconfigurations. Compared to other strategies, the experimental results show that the strategy proposed in this paper could reduce the overall traffic cost of the publish/subscribe system in less reconfigurations.


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