000			03845nam a22005295i 4500
001			u371728
003			SIRSI
005			20160812080144.0
007			cr nn 008mamaa
008			100623s2010 xxu| s |||| 0|eng d
020			_a9781441967008 _9978-1-4419-6700-8
040			_cMX-MeUAM
050		4	_aTK1-9971
082	0	4	_a621.382 _223
100	1		_aMeiners, Chad R. _eauthor.
245	1	0	_aHardware Based Packet Classification for High Speed Internet Routers _h[recurso electrónico] / _cby Chad R. Meiners, Alex X. Liu, Eric Torng.
264		1	_aBoston, MA : _bSpringer US, _c2010.
300			_aXIII, 123 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aEquivalent Transformation Techniques -- TCAM Razor -- Bit Weaving -- All-Match Redundancy Removal -- Background -- New Architectural Approaches -- Sequential Decomposition -- Topological Transformations -- Related Work.
520			_aPacket 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.
650		0	_aEngineering.
650		0	_aComputer hardware.
650		0	_aMemory management (Computer science).
650		0	_aComputer Communication Networks.
650		0	_aSoftware engineering.
650		0	_aTelecommunication.
650	1	4	_aEngineering.
650	2	4	_aCommunications Engineering, Networks.
650	2	4	_aComputer Communication Networks.
650	2	4	_aSignal, Image and Speech Processing.
650	2	4	_aComputer Hardware.
650	2	4	_aMemory Structures.
650	2	4	_aSpecial Purpose and Application-Based Systems.
700	1		_aLiu, Alex X. _eauthor.
700	1		_aTorng, Eric. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441966995
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-6700-8
596			_a19
942			_cLIBRO_ELEC
999			_c199608 _d199608