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Chapman and Hall/CRC Computer and Information Science Ser.: Performance Analysis
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US $5.22(大約 HK$ 40.62) USPS Media MailTM.
所在地:Bellefonte, Pennsylvania, 美國
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估計於 9月20日 (星期六)至 9月27日 (星期六)之間送達 運送地點 94104
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物品細節
- 物品狀況
- Subject
- Computer Science
- Subject Area
- Information Science
- ISBN
- 9781584889861
關於產品
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1584889861
ISBN-13
9781584889861
eBay Product ID (ePID)
59078336
Product Key Features
Number of Pages
472 Pages
Publication Name
Performance Analysis of Queuing and Computer Networks
Language
English
Subject
Programming / Games, Probability & Statistics / Stochastic Processes, Networking / General, General
Publication Year
2008
Type
Textbook
Subject Area
Mathematics, Computers
Series
Chapman and Hall/Crc Computer and Information Science Ser.
Format
Hardcover
Dimensions
Item Height
1.2 in
Item Weight
36.4 Oz
Item Length
9.4 in
Item Width
6.2 in
Additional Product Features
Intended Audience
College Audience
LCCN
2008-011866
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
004.6
Table Of Content
Introduction.Characterization of Data Traffic.The M/M/1/∞ Queue.State-Dependent Markovian Queues.The M/G/1 Queue.Discrete Time Queues. Continuous Time Queuing Networks.The G/M/1 Queue. Queues with Bursty, MMPP, and Self-Similar Traffic.Analysis of Fluid Flow Models. Appendix. Index.
Synopsis
With examples and exercises, this text develops simple models and analyticalmethods from first principles to evaluate performance metrics of various configurations of computer systems and networks. It includes simple, analytically tractable models, such as optimization of saturated CSMA/CD and CSMA/CA LANs; presents models for complex systems as analyzable modifications and/or interconnections of simple models; and contains a wide variety of queuing models, including bursty, MMPP, approximate self-similar traffic, and fluid flow. The author also discusses timing and synchronization in the analysis of discrete time (slotted) networks., Performance Analysis of Queuing and Computer Networks develops simple models and analytical methods from first principles to evaluate performance metrics of various configurations of computer systems and networks. It presents many concepts and results of probability theory and stochastic processes. After an introduction to queues in computer networks, this self-contained book covers important random variables, such as Pareto and Poisson, that constitute models for arrival and service disciplines. It then deals with the equilibrium M/M/1/∞queue, which is the simplest queue that is amenable for analysis. Subsequent chapters explore applications of continuous time, state-dependent single Markovian queues, the M/G/1 system, and discrete time queues in computer networks. The author then proceeds to study networks of queues with exponential servers and Poisson external arrivals as well as the G/M/1 queue and Pareto interarrival times in a G/M/1 queue. The last two chapters analyze bursty, self-similar traffic, and fluid flow models and their effects on queues., Performance Analysis of Queuing and Computer Networks develops simple models and analytical methods from first principles to evaluate performance metrics of various configurations of computer systems and networks. It presents many concepts and results of probability theory and stochastic processes. After an introduction to queues in computer networks, this self-contained book covers important random variables, such as Pareto and Poisson, that constitute models for arrival and service disciplines. It then deals with the equilibrium M/M/1/queue, which is the simplest queue that is amenable for analysis. Subsequent chapters explore applications of continuous time, state-dependent single Markovian queues, the M/G/1 system, and discrete time queues in computer networks. The author then proceeds to study networks of queues with exponential servers and Poisson external arrivals as well as the G/M/1 queue and Pareto interarrival times in a G/M/1 queue. The last two chapters analyze bursty, self-similar traffic, and fluid flow models and their effects on queues.
LC Classification Number
TK5105.5956D38 2008
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