|
|
Longest Prefix Match Search
Chrastina, Ondřej ; Puš, Viktor (referee) ; Tobola, Jiří (advisor)
This thesis deals with the problem of an efective routing and a data clasification in computer networks, in particular searching for the longest prefix match for the internet protocol of version 6. First the algorithm, Binary Trie, Level Compressed Trie, Lulea Compressed Trie and Binary Search on Intervals, are described and then tested to find the the most suitable algorithm from the viewpoint of memory requirements and the speed of the searching.
|
|
|
Visualization of Longest Prefix Match Algorithms
Fomiczew, Jiří ; Matoušek, Jiří (referee) ; Kováčik, Michal (advisor)
This thesis describes the design and implementation of program for vizualization of algorithms for longest pre fix match (LPM), which is one of the most important tasks for packet classi cation and routing in TCP/IP networks. It describes necessary theory and details about selected algorithms - Trie, Tree Bitmap and CPE. Furthermore, it describes the design and implementation of program for vizualization of the search process of these algorithms with emphasis on the potential use for educational purposes. Finally, it describes the possibilities for future development and expansion of the program.
|
|
|
Longest Prefix Match Algorithms
Sedlář, František ; Puš, Viktor (referee) ; Tobola, Jiří (advisor)
This bachelor's thesis deals with a description of basic longest prefix match (LPM) algorithms. Another algorithm - LC Trie - was added to existing implementations into the Netbench library. All the algorithms which the library includes were tested with real groups of IPv6 prefixes. They were compared on the basis of previously obtained data. Testing scripts for each of the algorithms were implemented as well as scripts for downloading groups of prefixes from significant sources on the internet.
|
|
|
Longest Prefix Match Algorithms
Sedlář, František ; Matoušek, Jiří (referee) ; Tobola, Jiří (advisor)
This master's thesis explains basics of the longest prefix match (LPM) problem. It analyzes and describes chosen LPM algorithms considering their speed, memory requirements and an ability to implement them in hardware. On the basis of former findings it proposes a new algorithm Generic Hash Tree Bitmap. It is much faster than many other approaches, while its memory requirements are even lower. An implementation of the proposed algorithm has become a part of the Netbench library.
|
|
|
Longest Prefix Match Algorithms
Suchodol, Jaroslav ; Puš, Viktor (referee) ; Tobola, Jiří (advisor)
This work deal with routing in IP networks, particularly the issue of finding the longest matched prefix. Problems of finding the longest matched prefix solves many sophisticated algorithms. The main task of this work focuses on the following algorithms - Controlled Prefix Expansion, Lulea Compressed Tries, Binary search on intervals and Binary search on prefix length. Algorithms are described and followed by software implementation in Python. Output work is the analysis/comparison of different algorithms in terms of memory consumption and number of memory accesses at worst.
|
|
|
Longest Prefix Match Algorithms
Skačan, Martin ; Puš, Viktor (referee) ; Tobola, Jiří (advisor)
This bachelor's thesis deals with the algorithms for longest prefix match (LPM), which is the basic operation of the packet classification and of the routing in the IP computer networks. It is introduced the necessary theory and the analysis of the chosen algorithms - Trie, Tree Bitmap, Shape Shifting Tree and Multi-match. These methods were closely described and they were implemented in the programming language Python. Within the implemented algorithms were performed tests and simulations considering their memory demands with the aim to identify the best method for prefix collections about the size of tens to thousands rules.
|
|
|
Longest Prefix Match in High-Speed Networks
Skačan, Martin ; Tobola, Jiří (referee) ; Kořenek, Jan (advisor)
This thesis deals with the Longest Prefix Matching (LPM), which is a time-critical operation in packet forwarding. To achieve 100Gbps throughput, this operation has to be implemented in hardware and a forwarding table has to fit into the on-chip memory, which is limited by its small size. Current LPM algorithms need large memory to store IPv6 forwarding tables or cannot be simply implemented in HW. Therefore we performed an analysis of available IPv6 forwarding tables and several LPM algorithms. Based on this analysis, we propose a new algorithm which is able to provide very low memory demands for IPv4/IPv6 lookups. To the best of our knowledge, the proposed algorithm has the lowest memory requirements in comparison to existing LPM algorithms. Moreover, the proposed algorithm is suitable for IP lookup in 100Gbps networks, which is shown on new pipelined hardware architecture with 140Gbps throughput.
|
|
|
Longest Prefix Match Algorithms
Kováčik, Michal ; Tobola, Jiří (referee) ; Kořenek, Jan (advisor)
This thesis focuses on algorithms for longest prefix match (LPM), which is the key operation in packet classification and routing in TCP/IP networks. A space for analysis of commonly used algorithms with emphasis on their speed and memory efficiency is dedicated along with necessary theory. Focus is then oriented on IPv6 networks, their typical prefix sets and comparison of suitable algorithms. Afterwards, the optimization for selected algorithm is suggested and implemented in programming language Python.
|
|
|
Hardware Acceleration of Longest Prefix Match
Kekely, Lukáš ; Tobola, Jiří (referee) ; Kořenek, Jan (advisor)
This bachelor's thesis describes design and implementation of hardware architecture for longest prefix match in order to achieve high throughput, which is required in today's high-speed computer networks. It is focused on IPv4 as-well-as IPv6 networks. Designed hardware architecture has throughput 75 Gbps on the shortest IPv4 and IPv6 packets. Performance of designed architecture is also compared with performance of chosen algorithms, which are used in nowadays commercial devices. These algorithms are: Tree Bitmap, Shape-Shifting Trie and Binary Search on Prefixes. All algorithms were implemented in C language using multi-threaded processing.
|
|
| |
guest ::
