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About Hardware Based Packet Classification for High Speed Internet Routers
Packet classification is the core component of routers, firewalls and other networking devices that enables many networking services such as packet filtering and traffic accounting. Using Ternary Content Addressable Memories (TCAMs) to perform high-speed packet classification has become the standard in industry today. While we can expect some gain in TCAM performance from improved hardware, the demands on TCAM performance (measured by the number of rules in packet classifiers) increase far more rapidly due to the explosive growth of internet services and threats. Hardware Based Packet Classification for High Speed Internet Routers presents the most recent developments in hardware based packet classification algorithms and architectures. This book describes five methods which reduce the space that classifiers occupy within TCAMs; TCAM Razor, All-Match Redundancy Removal, Bit Weaving, Sequential Decomposition, and Topological Transformations. These methods demonstrate that in most cases a substantial reduction of space is achieved. Case studies and examples are provided throughout this book. About this book: • Presents the only book in the market that exclusively covers hardware based packet classification algorithms and architectures. • Describes five methods which reduce the space that classifiers occupy within TCAMs: TCAM Razor, All-Match Redundancy Removal, Bit Weaving, Sequential Decomposition, and Topological Transformations. • Provides case studies and examples throughout. Hardware Based Packet Classification for High Speed Internet Routers is designed for professionals and researchers who work within the related field of router design. Advanced-level students concentrating on computer science and electrical engineering will also find this book valuable as a text or reference book.
Detailed Information
| Author: | Chad R. Meiners, Alex X. Liu, Eric Torng (auth.) |
|---|---|
| Publication Year: | 2010 |
| ISBN: | 9781441966995 |
| Pages: | 122 |
| Language: | English |
| File Size: | 1.862 |
| Format: | |
| Price: | FREE |
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