Efficient Simulation of Large-Scale P2P Networks: Modeling Network Transmission Times
G. Kunzmann, R. Nagel, T. Hoßfeld, A. Binzenhöfer, and K. Eger. Workshop on Modeling, Simulation and Optimization of Peer-to-peer environments (MSOP2P) in conjunction with Euromicro (PDP 2007), Naples, Italy, (February 2007)
Abstract
The ongoing process of globalization leads to a huge demand
for highly scalable applications that are able to deal
with millions of participants distributed all over the world.
Peer-to-Peer (p2p) technology enables an arbitrary large
number of users to participate in distributed services like
content distribution or collaboration tools. In order to verify
a new protocol’s performance and scalability simulation
is a commonly used tool. First, predicting the network and
peer behavior in the real world is only feasible if the simulation,
i.e. all applied models as well as the peer state, is as
realistic as possible. Second, many properties of the system
only become observable when the number of participants is
sufficiently large. Therefore, verifying the scalability of a
system requires simulating huge worldwide networks. Due
to limited processing power, central memory and availabe
time, both requirements can only be fullfilled if the applied
models are very efficient. In this paper we take a closer look
at the network layer. We compare the most commonly-used
network models and present a very efficient model for applying
real-world network transmission times in large scale
simulations.
%0 Conference Paper
%1 info3-inproceedings-2007-252
%A Kunzmann, Gerald
%A Nagel, Robert
%A Hoßfeld, Tobias
%A Binzenhöfer, Andreas
%A Eger, Kolja
%B Workshop on Modeling, Simulation and Optimization of Peer-to-peer environments (MSOP2P) in conjunction with Euromicro (PDP 2007)
%C Naples, Italy
%D 2007
%K myown
%T Efficient Simulation of Large-Scale P2P Networks: Modeling Network Transmission Times
%X The ongoing process of globalization leads to a huge demand
for highly scalable applications that are able to deal
with millions of participants distributed all over the world.
Peer-to-Peer (p2p) technology enables an arbitrary large
number of users to participate in distributed services like
content distribution or collaboration tools. In order to verify
a new protocol’s performance and scalability simulation
is a commonly used tool. First, predicting the network and
peer behavior in the real world is only feasible if the simulation,
i.e. all applied models as well as the peer state, is as
realistic as possible. Second, many properties of the system
only become observable when the number of participants is
sufficiently large. Therefore, verifying the scalability of a
system requires simulating huge worldwide networks. Due
to limited processing power, central memory and availabe
time, both requirements can only be fullfilled if the applied
models are very efficient. In this paper we take a closer look
at the network layer. We compare the most commonly-used
network models and present a very efficient model for applying
real-world network transmission times in large scale
simulations.
@inproceedings{info3-inproceedings-2007-252,
abstract = {The ongoing process of globalization leads to a huge demand
for highly scalable applications that are able to deal
with millions of participants distributed all over the world.
Peer-to-Peer (p2p) technology enables an arbitrary large
number of users to participate in distributed services like
content distribution or collaboration tools. In order to verify
a new protocol’s performance and scalability simulation
is a commonly used tool. First, predicting the network and
peer behavior in the real world is only feasible if the simulation,
i.e. all applied models as well as the peer state, is as
realistic as possible. Second, many properties of the system
only become observable when the number of participants is
sufficiently large. Therefore, verifying the scalability of a
system requires simulating huge worldwide networks. Due
to limited processing power, central memory and availabe
time, both requirements can only be fullfilled if the applied
models are very efficient. In this paper we take a closer look
at the network layer. We compare the most commonly-used
network models and present a very efficient model for applying
real-world network transmission times in large scale
simulations.
},
added-at = {2016-03-10T17:36:22.000+0100},
address = {Naples, Italy},
author = {Kunzmann, Gerald and Nagel, Robert and Hoßfeld, Tobias and Binzenhöfer, Andreas and Eger, Kolja},
biburl = {https://www.bibsonomy.org/bibtex/244ca8621c8d90528b928ba46e33599f3/uniwue_info3},
booktitle = {Workshop on Modeling, Simulation and Optimization of Peer-to-peer environments (MSOP2P) in conjunction with Euromicro (PDP 2007)},
interhash = {dd686c0bc6d34717297a1fb8606434be},
intrahash = {44ca8621c8d90528b928ba46e33599f3},
keywords = {myown},
month = {2},
timestamp = {2022-03-14T00:10:14.000+0100},
title = {Efficient Simulation of Large-Scale P2P Networks: Modeling Network Transmission Times},
year = 2007
}