The diploma thesis deals with a tool for managing research projects in the global experimental network PlanetLab. It is possible to use the Planetlab server manager application for administration. As part of this work, the application was extended with new functions, which are mainly: obtaining information about the status of operation of individual servers, advanced server search according to the size of the server's operating memory, Linux kernel version. Furthermore, the feature of managing servers outside the Planetlab experimental network and the feature of copying files to selected servers were added. The application is available in the PyPI repository and the source code is published on the GitLab platform under the MIT license. The application is available for Linux and Mac OS. A manual in English was prepared for the application.

PlanetLab Server Manager je aplikace, která pomáhá uživatelům realizovat projekty zaměřené na vývoj aplikací pro distribuované sítě. Aplikace primárně umožňuje vyhledávání serverů podle jejich geografické polohy a umožňuje přístup na tyto servery a jejich vykreslení na mapě. Práce čtenáře seznámí se síťí PlanetLab a její infrastukturou. Dále popisuje aplikaci PlanetLab Server Manager (také známou jako plbmng) a identifikuje problémy v její aktuální verzi. Diplomová práce se zaměřuje na řešení identifikovaných problémů a specifikuje provedená vylepšení do aplikace. Také je v ní pomocí nově přidané funkcionality provedena analýza stavu sítě PlanetLab. Tato práce se zaměřuje na vylepšení stávající funkcionality tím, že je aplikace plně přepsána do jazyka Python 3. Kvůli stávající implementaci v jazyce Bash, jehož vlastnosti se od jazyka Python liší, bude nutné kompletně přeplánovat stávající funkce aplikace, aby bylo plně využito výhod jazyka Python. Aplikace je také rozšířena o možnosti filtrování serverů na základě jejich stavu a další vylepšení. Zdrojové kódy aplikace jsou dostupné na repozitáři GitHUB pod licencí MIT a dále je aplikace dostupná v repozitářích PyPI.

Master of Science / Department of Electrical and Computer Engineering / Caterina M. Scoglio / Network researchers for a long time have been investigating ways to improve network performance and reliability by devising new protocols, services, and network architectures. For the most part, these innovative ideas are tested through simulations and emulation techniques that though yield credible results; fail to account for realistic Internet measurements values like traffic, capacity, noise, and variable workload, and network failures. Overlay networks, on the other hand have existed for a decade, but they assume the current internet architecture is not suitable for clean-slate network architecture research. Recently, the Global Environment for Network Innovations (GENI) project aims to address this issue by providing an open platform comprising of a suite of highly programmable and shareable network facilities along with its control software. The aim of this report is to introduce GENI’s key architectural concepts, its control frameworks, and how they are used for dynamic resource allocation of computing and networking resources. We mainly discuss about the architectural concepts and design goals of two aggregates, namely the BBN Open Resource Control Architecture of the (BBNORCA) of the ORCA control framework and Great Plains Environment for Network Innovations (GpENI) belonging to the PlanetLab control framework. We then describe the procedure adopted for hardware and software setup of individual aggregates. After giving an overview of the two prototypes, an analysis of the simple experiments that were conducted on each of the aggregates is presented. Based on the study and experimental results, we present a comparative analysis of control framework architectures, their relative merits and demerits, experimentation ease, virtualization technology, and its suitability for a future GENI prototype. We use metrics such as scalability, leasing overhead, oversubscription of resources, and experiment isolation for comparison.

The master thesis is dealing with Internet host localization methods, more exactly with determining geographical position of the unknown Internet host connected to the network using RTT delay measuring. The first part is dealing with description of RTT delays that may occur in the network and tools for their measurement. The next is part of thesis is devoted to description of two kinds of localization methods. Ones that are using existing data to determine the position of Internet host also called passive methods, and others that are using RTT delay measurement, also called active methods. The main part is focused on GeoWeight method which is based on geographical localization estimation of Internet host. It is based on RTT delay measurement using the principles of CBG method, enhanced by introduction of the theory of weights according to the probability of the target Internet host. The last part is describing the application that was made to determine the geographic localization of the target Internet host using GeoWeight method. The application was afterwards tested by measuring RTT delay in PlanetLab experimental network. At the end the final measured results were compared with other localization methods (CBG, Octant, SOI, GeoIP).

This paper deals with methods of stations’ IP geolocation. It’s describes the methods of passive and active geolocation and it’s more focused on active searching methods, which usees measuring the latency in network. The factors causing delays in data transfer are discussed first, followed by discussion of the issue of measuring these delays. After that a brief description of PlanetLab experimental network, which nodes were used for delay measurment. Main topic is practical implementation of method Constraint-based Geolocation in Java programming language. Last but not least the measurement results of CBG algorithm are tested.

This thesis deals with the PlanetLab Server Manager application whose aim is to simplify application development within the experimental distributed network PlanetLab. Thesis presents the PlanetLab network and describes its infrastructure. Application PlanetLab Server Manager, shortly abbreviated as plbmng, is described, its current state is evaluated and the existing functionality is presented to the reader. Further work focuses mainly on the implementation of the new functionality that is a software distribution and job scheduling to run the software at the specified time. The last part of the work presents an experiment that demonstrates a real-life usage of the newly added functionality. Work results are published at the public repository on the GitLab platform. The application was published at the package index for Python Packages - PyPI.

This master thesis deals with methods of stations’ geolocation on the Internet, it means the estimation geographic location of unknown station, which is conected to this network. The introductory part describes the methods for determining position, which don‘t need any measeruments of the network. The next section is devoted to points, where delay is invoked, to the causes of latency in the Internet, to their types and some usual values. The following part features ways to measure delays and route, including several tools for this purpose. The penulminate section describes some chosen geolocation techniques based on RTT measurement. The final chapter is devoted to practical demonstration geolocation using the CBG method, when the delay measurement was carried out in an experimental PlanetLab network.

The work deals with the issues of network coordinate systems. The first chapter is devoted to a brief analysis of this systems and requirements placed on them. Furthermore, it deals with features of Vivaldi algorithm and its three versions: a centralized algorithm, algorithm with constant and adaptive time step. Subsequently it describes the GNP system and eash step of Nelder-Mead method for nodes localization. Next to it a developed simulation library is presented with its own graphical user interface for testing of these algorithms, which is capable of handling RTT responses database amongst individual IP network members. Simulations performed on data from PlanetLab network are evaluated in the conclusion.

This thesis deals with the evaluation of the geographical location of the Internet using delay and implementating method Octant. The first part is devoted to familiarization with the principles of evaluation of the physical position of the stations on the Internet, with a focus on active methods for IP Geolocation. Here it is more space devoted to geolocation Octant algorithm and a more detailed explanation of its principles. At the end of the first part is also familiar with the experimental network PlanetLab. The second part describes the design and implementation of the program in programming language C#, which locates the searched local station with mentioned localization algorithm Octant. Description realization is accompanied by explained examples of the classes with a detailed explanation. Here are also the results of the methods on selected IP addresses of stations with known locations to detect errors or deviations of method from the actual position of searched station. At the end of this section is a comparison with other active as well as passive geolocation methods.

This thesis deals with measuring transmission parameters of the Internet network, in particular latency of ping, SSH protocol and bandwidth. The thesis is divided into a theoretical and a practical part. Theoretical part describes PlanetLab network, its brief history and contemporary projects. At the same time, tools for data mining from web pages are described. These information obtained from the theoretical part are used for creating PlanetLab nodes list and for programming applications which measure the network transmission parameters. Applications, list of nodes and obtained data are attached on DVD disc.