Development of Peer-to-peer Infrastructure for Laboratory Seminaries

OData support
Semeráth Oszkár
Department of Measurement and Information Systems

The maintenance of a lab consisting of 40 computers is a considerable challenge, because

different education environments are need to be created for each class. These environments

are typically implemented virtual machines. For the distribution of these virtual machines

a method called Chaincast is used currently, that connects the computers in a chain, so

the data is sent from one computer to another. Therefore, if any machine malfunctions the

transfer of data is interrupted and the distribution to be restarted. Also, because we need

different computers for different classes (such as only the computers of the first 3 rows),

these chains need to be configured differently.

My goal is to create a method of file distribution, that can finish successfully, even with

errors occuring during the distribution, and the whole process can succeed at times when

the other failed. Furthermore, we’ll be able to choose an arbitrary set of computers as the

target of the distribution by minimal configurations.

In this thesis I present a new method for distribution files, replacing the one currently

used, fixing its problems and improving its robustness and configurability. This new pro-

gram is a model-driven application, that uses P2P technologies, namely the Bittorrent

protocol to distribute files to multiple target machines. The distribution tasks can be

specified effortlessly. This thesis presents the required virtualisation, modelling and P2P

technologies’ background, then discuss the design phase, in which we formally define the

process of file distribution and create a modeling languange capable of representing our lab

and show the application’s structure. Then we document the more important steps of the

program’s implementation and its testing. We also analyze its performance, comparing it

to the currently used Chaincast method. Finally, we suggest some possible improvements

in the future for our application.


Please sign in to download the files of this thesis.