
Hardware Based Packet Classification for High Speed Internet Routers - Hardcover
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Availability:In StockContributor:Chad R. Meiners, Alex X. Liu, Eric TorngTheme:Aspects (Academic)/Science/Technology AspectsPublish date:6/23/2010Pages:123
Languages:EnglishPublisher:SpringerISBN-13:9781441966995ISBN-10:1441966994UPC:9781441966995Book Category:ComputersBook Subcategory:Hardware, Computer Science, Software Development & EngineeringBook Topic:Personal Computers, Systems Analysis & DesignSize:9.21 x 6.14 x 0.38 inchesWeight:0.377Product ID:SCA9AX6KQF
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.
Languages:EnglishPublisher:SpringerISBN-13:9781441966995ISBN-10:1441966994UPC:9781441966995Book Category:ComputersBook Subcategory:Hardware, Computer Science, Software Development & EngineeringBook Topic:Personal Computers, Systems Analysis & DesignSize:9.21 x 6.14 x 0.38 inchesWeight:0.377Product ID:SCA9AX6KQF
Publisher: Springer
Edition
2010 Edition
Contributor(s)
Authors
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