LOAD BALANCING FOR PARALLEL PCS NETWORK SIMULATIONS

2000 ◽  
Vol 01 (03) ◽  
pp. 173-193 ◽  
Author(s):  
AZZEDINE BOUKERCHE
Keyword(s):  
Load Balancing ◽  
Distributed Simulation ◽  
Simulation Experiments ◽  
Time Warp ◽  
Conservative Scheme ◽  
Simulation Techniques ◽  
Parallel And Distributed Simulation ◽  
Pcs Networks ◽  
Network Simulations ◽  
Stage 1

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.

scholarly journals A Federated Approach to Parallel and Distributed Simulation of Complex Systems

2007 ◽  
Vol 17 (1) ◽  
pp. 99-106 ◽  
Author(s):  
Andrzej Sikora ◽  
Ewa Niewiadomska-Szynkiewicz
Keyword(s):  
Complex Systems ◽  
Manufacturing System ◽  
Computer Network ◽  
Distributed Simulation ◽  
Real Life ◽  
Software Tool ◽  
Parallel And Distributed Simulation ◽  
Distributed Simulations ◽  
Network Simulations ◽  
Parallel And Distributed Simulations

A Federated Approach to Parallel and Distributed Simulation of Complex SystemsThe paper describes a Java-based framework called ASimJava that can be used to develop parallel and distributed simulators of complex real-life systems. Some important issues associated with the implementation of parallel and distributed simulations are discussed. Two principal paradigms for constructing simulations today are considered. Particular attention is paid to an approach for federating parallel and distributed simulators. We describe the design, performance and applications of the ASimJava framework. Two practical examples, namely, a simple manufacturing system and computer network simulations are provided to illustrate the effectiveness and range of applications of the presented software tool.

A bi-objective load balancing model in a distributed simulation system using NSGA-II and MOPSO approaches

2018 ◽  
Vol 63 ◽  
pp. 249-267 ◽  
Author(s):  
Shuxin Ding ◽  
Chen Chen ◽  
Bin Xin ◽  
Panos M. Pardalos
Keyword(s):  
Load Balancing ◽  
Distributed Simulation ◽  
Simulation System ◽  
Nsga Ii

scholarly journals PeerFlow: Secure Load Balancing in Tor

2017 ◽  
Vol 2017 (2) ◽  
pp. 74-94 ◽  
Author(s):  
Aaron Johnson ◽  
Rob Jansen ◽  
Nicholas Hopper ◽  
Aaron Segal ◽  
Paul Syverson
Keyword(s):  
Load Balancing ◽  
Load Balance ◽  
Large Scale ◽  
Scanning System ◽  
Large Scale Network ◽  
Improve Accuracy ◽  
Scale Network ◽  
Network Simulations ◽  
Improved Design ◽  
Speed And Accuracy

Abstract We present PeerFlow, a system to securely load balance client traffic in Tor. Security in Tor requires that no adversary handle too much traffic. However, Tor relays are run by volunteers who cannot be trusted to report the relay bandwidths, which Tor clients use for load balancing. We show that existing methods to determine the bandwidths of Tor relays allow an adversary with little bandwidth to attack large amounts of client traffic. These methods include Tor’s current bandwidth-scanning system, TorFlow, and the peer-measurement system EigenSpeed. We present an improved design called PeerFlow that uses a peer-measurement process both to limit an adversary’s ability to increase his measured bandwidth and to improve accuracy. We show our system to be secure, fast, and efficient. We implement PeerFlow in Tor and demonstrate its speed and accuracy in large-scale network simulations.

scholarly journals Parallel Network Simulation With OMNeT++

2009 ◽  
Author(s):  
András Varga ◽  
Ahmet Y. Şekercioğlu Şekercioğlu
Keyword(s):  
Communication Networks ◽  
Large Scale ◽  
Distributed Simulation ◽  
Discrete Event ◽  
Rare Event ◽  
Telecommunication Networks ◽  
Event Simulation ◽  
Parallel And Distributed Simulation ◽  
Simulation Protocol ◽  
Parallel Network

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.

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