The Resource A graph-theoretic approach to enterprise network dynamics, Horst Bunke [and others]
A graph-theoretic approach to enterprise network dynamics, Horst Bunke [and others]
Resource Information
The item A graph-theoretic approach to enterprise network dynamics, Horst Bunke [and others] represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item A graph-theoretic approach to enterprise network dynamics, Horst Bunke [and others] represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- Networks have become nearly ubiquitous and increasingly complex, and their support of modern enterprise environments has become fundamental. Accordingly, robust network management techniques are essential to ensure optimal performance of these networks. This monograph treats the application of numerous graph-theoretic algorithms to a comprehensive analysis of dynamic enterprise networks. Network dynamics analysis yields valuable information about network performance, efficiency, fault prediction, cost optimization, indicators and warnings. The exposition is organized into four relatively independent parts: an introduction and overview of typical enterprise networks and the graph theoretical prerequisites for all algorithms introduced later; an in-depth treatise of usage of various graph distances for event detection; a detailed exploration of properties of underlying graphs with modeling applications; and a theoretical and applied treatment of network behavior inferencing and forecasting using sequences of graphs. Based on many years of applied research on generic network dynamics, this work covers a number of elegant applications (including many new and experimental results) of traditional graph theory algorithms and techniques to computationally tractable network dynamics analysis to motivate network analysts, practitioners and researchers alike. The material is also suitable for graduate courses addressing state-of-the-art applications of graph theory in analysis of dynamic communication networks, dynamic databasing, and knowledge management
- Language
- eng
- Extent
- 1 online resource (xiii, 225 pages)
- Contents
-
- PART I. INTRODUCTION.
- Intranets and network management
- Graph-theoretic concepts
- PART II. EVENT DETECTION USING GRAPH DISTANCE.
- Matching graphs with unique node labels
- Graph similarity measures for abnormal change detection
- Median graphs for abnormal change detection
- Graph clustering for abnormal change detection
- Graph distance measures based on intragraph clustering and cluster distance
- Matching sequences of graphs
- PART III. PROPERTIES OF THE UNDERLYING GRAPHS.
- Distances, clustering, and small worlds
- Tournament scoring
- PART IV. PREDICTION AND ADVANCED DISTANCE MEASURES.
- Recovery of missing information in graph sequences
- Matching hierarchical graphs
- Isbn
- 9786610816682
- Label
- A graph-theoretic approach to enterprise network dynamics
- Title
- A graph-theoretic approach to enterprise network dynamics
- Statement of responsibility
- Horst Bunke [and others]
- Subject
-
- Business enterprises -- Communication systems
- Business enterprises -- Communication systems
- Business enterprises -- Communication systems
- COMPUTERS -- Data Transmission Systems | Broadband
- COMPUTERS -- Data Transmission Systems | Wireless
- COMPUTERS -- Networking | Local Area Networks (LANs)
- Graph theory -- Data processing
- Graph theory -- Data processing
- Graph theory -- Data processing
- Informatique
- Local area networks (Computer networks)
- Local area networks (Computer networks)
- Local area networks (Computer networks)
- Local area networks (Computer networks) -- Mathematical models
- Local area networks (Computer networks) -- Mathematical models
- Local area networks (Computer networks) -- Mathematical models
- Language
- eng
- Summary
- Networks have become nearly ubiquitous and increasingly complex, and their support of modern enterprise environments has become fundamental. Accordingly, robust network management techniques are essential to ensure optimal performance of these networks. This monograph treats the application of numerous graph-theoretic algorithms to a comprehensive analysis of dynamic enterprise networks. Network dynamics analysis yields valuable information about network performance, efficiency, fault prediction, cost optimization, indicators and warnings. The exposition is organized into four relatively independent parts: an introduction and overview of typical enterprise networks and the graph theoretical prerequisites for all algorithms introduced later; an in-depth treatise of usage of various graph distances for event detection; a detailed exploration of properties of underlying graphs with modeling applications; and a theoretical and applied treatment of network behavior inferencing and forecasting using sequences of graphs. Based on many years of applied research on generic network dynamics, this work covers a number of elegant applications (including many new and experimental results) of traditional graph theory algorithms and techniques to computationally tractable network dynamics analysis to motivate network analysts, practitioners and researchers alike. The material is also suitable for graduate courses addressing state-of-the-art applications of graph theory in analysis of dynamic communication networks, dynamic databasing, and knowledge management
- Cataloging source
- GW5XE
- Dewey number
- 004.6/8
- Illustrations
- illustrations
- Index
- index present
- Language note
- English
- LC call number
- TK5105.7
- LC item number
- .G735 2007eb
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorDate
- 1949-
- http://library.link/vocab/relatedWorkOrContributorName
- Bunke, Horst
- Series statement
- Progress in computer science and applied logic
- Series volume
- v. 24
- http://library.link/vocab/subjectName
-
- Local area networks (Computer networks)
- Local area networks (Computer networks)
- Business enterprises
- Graph theory
- COMPUTERS
- COMPUTERS
- COMPUTERS
- Informatique
- Business enterprises
- Graph theory
- Local area networks (Computer networks)
- Local area networks (Computer networks)
- Label
- A graph-theoretic approach to enterprise network dynamics, Horst Bunke [and others]
- Bibliography note
- Includes bibliographical references (pages 211-220) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- PART I. INTRODUCTION. -- Intranets and network management -- Graph-theoretic concepts -- PART II. EVENT DETECTION USING GRAPH DISTANCE. -- Matching graphs with unique node labels -- Graph similarity measures for abnormal change detection -- Median graphs for abnormal change detection -- Graph clustering for abnormal change detection -- Graph distance measures based on intragraph clustering and cluster distance -- Matching sequences of graphs -- PART III. PROPERTIES OF THE UNDERLYING GRAPHS. -- Distances, clustering, and small worlds -- Tournament scoring -- PART IV. PREDICTION AND ADVANCED DISTANCE MEASURES. -- Recovery of missing information in graph sequences -- Matching hierarchical graphs
- Control code
- 187161827
- Dimensions
- unknown
- Extent
- 1 online resource (xiii, 225 pages)
- Form of item
- online
- Isbn
- 9786610816682
- Lccn
- 2006928981
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-0-8176-4519-9
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-0-8176-4485-7
- Specific material designation
- remote
- System control number
- (OCoLC)187161827
- Label
- A graph-theoretic approach to enterprise network dynamics, Horst Bunke [and others]
- Bibliography note
- Includes bibliographical references (pages 211-220) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- PART I. INTRODUCTION. -- Intranets and network management -- Graph-theoretic concepts -- PART II. EVENT DETECTION USING GRAPH DISTANCE. -- Matching graphs with unique node labels -- Graph similarity measures for abnormal change detection -- Median graphs for abnormal change detection -- Graph clustering for abnormal change detection -- Graph distance measures based on intragraph clustering and cluster distance -- Matching sequences of graphs -- PART III. PROPERTIES OF THE UNDERLYING GRAPHS. -- Distances, clustering, and small worlds -- Tournament scoring -- PART IV. PREDICTION AND ADVANCED DISTANCE MEASURES. -- Recovery of missing information in graph sequences -- Matching hierarchical graphs
- Control code
- 187161827
- Dimensions
- unknown
- Extent
- 1 online resource (xiii, 225 pages)
- Form of item
- online
- Isbn
- 9786610816682
- Lccn
- 2006928981
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-0-8176-4519-9
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-0-8176-4485-7
- Specific material designation
- remote
- System control number
- (OCoLC)187161827
Subject
- Business enterprises -- Communication systems
- Business enterprises -- Communication systems
- Business enterprises -- Communication systems
- COMPUTERS -- Data Transmission Systems | Broadband
- COMPUTERS -- Data Transmission Systems | Wireless
- COMPUTERS -- Networking | Local Area Networks (LANs)
- Graph theory -- Data processing
- Graph theory -- Data processing
- Graph theory -- Data processing
- Informatique
- Local area networks (Computer networks)
- Local area networks (Computer networks)
- Local area networks (Computer networks)
- Local area networks (Computer networks) -- Mathematical models
- Local area networks (Computer networks) -- Mathematical models
- Local area networks (Computer networks) -- Mathematical models
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