Network Performance Modeling and SimulationJean Walrand, Kallol Bagchi, George Zobrist CRC Press, 2019. gada 16. aug. - 332 lappuses This book makes the argument that performance modeling and simulation have become central issues in computer science and engineering, in part due to applications to the structures comprising the Internet. Dealing primarily with theory, tools and techniques as related to communications systems, the volume provides tutorials and surveys and relates new important research results. Each chapter presents background information, describes and analyzes important work done in the field and provides direction to the reader on future work and further readings. The topics covered include traffic models for A TM networks, simulation environments, analytical methods, interprocessor communications, and an evaluation of process architectures. |
No grāmatas satura
1.5. rezultāts no 57.
1. lappuse
... nodes depending on the storage space in each node . Wormhole routing flow control has been adopted by most of the new generation multiprocessors due to its low latency and low 1 1 Wormhole Data Routing in Multiprocessors: Networks and ...
... nodes depending on the storage space in each node . Wormhole routing flow control has been adopted by most of the new generation multiprocessors due to its low latency and low 1 1 Wormhole Data Routing in Multiprocessors: Networks and ...
2. lappuse
... nodes and communication channels , and can be represented by a uni - directional graph G = ( N , C ) , with vertices N = { ni , n2 , ... , nom } corresponding to the nodes and edges C = { C1 , C2 , ... , En } corresponding to the ...
... nodes and communication channels , and can be represented by a uni - directional graph G = ( N , C ) , with vertices N = { ni , n2 , ... , nom } corresponding to the nodes and edges C = { C1 , C2 , ... , En } corresponding to the ...
3. lappuse
... Node Degree The node degree is the number of 10 ports associated with each node in the network . When we design a scalable network , we would like to have the node degree independent of the network size to reduce the cost . Limited wire ...
... Node Degree The node degree is the number of 10 ports associated with each node in the network . When we design a scalable network , we would like to have the node degree independent of the network size to reduce the cost . Limited wire ...
4. lappuse
... node addressing , communication paths , and channel dependency . Therefore , we need to develop different data routing algorithms to match the ... nodes increases , due to traffic contention . ( a ) Binary Tree ( b ) Fat Tree 4 YEN - WEN LU.
... node addressing , communication paths , and channel dependency . Therefore , we need to develop different data routing algorithms to match the ... nodes increases , due to traffic contention . ( a ) Binary Tree ( b ) Fat Tree 4 YEN - WEN LU.
5. lappuse
... nodes , and leaves . Long distances between leaves on different branches and low bisection width are the main drawbacks of a tree network . Fat trees ( Fig . 1.2 ( b ) ) were proposed to increase the bandwidth as we ascend from leaves ...
... nodes , and leaves . Long distances between leaves on different branches and low bisection width are the main drawbacks of a tree network . Fat trees ( Fig . 1.2 ( b ) ) were proposed to increase the bandwidth as we ascend from leaves ...
Saturs
| 1 | |
2 Reusability Techniques for Building a Simulation Environment and Modeling Communications Systems | 39 |
An Overview and an Example of Application | 59 |
4 Traffic Modeling for ATM Networks | 105 |
5 An Overview of Source Characterization in ATM Networks | 123 |
6 Procedures for Estimating and Guaranteeing Delays in High Speed Communication Networks | 151 |
7 BMAP Modeling of a Correlated Queue | 177 |
8 Hierarchical Performance Modeling of Computer Communication Systems | 197 |
9 A Framework for Measuring the Performance of Alternative Process Architectures for Parallelizing Communication Systems | 219 |
A Prototyping and Modeling Tool for Communication Networks and Protocols | 255 |
11 Network Reliability Evaluation | 275 |
Notes on the Contributors | 303 |
Author Index | 311 |
Subject Index | 313 |
Citi izdevumi - Skatīt visu
Network Performance Modeling and Simulation Jean Walrand,Kallol Bagchi,George Zobrist Ierobežota priekšskatīšana - 1998 |
Network Performance Modeling and Simulation Jean Walrand,Kallol Bagchi,George Zobrist Ierobežota priekšskatīšana - 2019 |
Bieži izmantoti vārdi un frāzes
adaptive aggregate algorithm analysis application approach approximation arrival associated batch behavior bound buffer called cell channel chapter color communication complete components Computer Condition connection consider context corresponding customers defined delay dependency described direct distribution equal evaluation example execution extended Figure flow frame function given graph GSPN IEEE immediate implemented increases input instance interarrival interface interval Italy layer length mean measured messages method Module nodes objects observed obtained operation output packet Parallelism parameters path performance period possible present probability process architectures protocol stack queue reduction reliability represents respect routing rule selection server shown shows simulation single solution specific station step Stream structure submodel SunOS switch synchronization tasks techniques tokens traffic transitions University virtual waiting