Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Aggiungi al carrelloCondizione: New. pp. 286.
Condizione: New. pp. 286 1st edition NO-PA16APR2015-KAP.
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 111,60
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Aggiungi al carrelloCondizione: New. In.
EUR 27,13
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 302 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
EUR 143,68
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Aggiungi al carrelloPaperback. Condizione: Brand New. 302 pages. 9.21x6.14x0.79 inches. In Stock.
EUR 90,80
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Large Scale Networks | Modeling and Simulation | Radu Dobrescu (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | CRC Press | EAN 9780367655891 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
EUR 160,08
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Aggiungi al carrellopaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Aggiungi al carrelloHardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Aggiungi al carrelloCondizione: buono. Fotografia Fine arts Photography BUONE CONDIZIONI Volume in lingua romena - in 4°.
Editore: Bucarest, Editura Tempus, 1992,, 1992
Da: Harteveld Rare Books Ltd., Marly, Svizzera
EUR 51,98
Quantità: 1 disponibili
Aggiungi al carrellogr. in-8vo, 280 p. avec 47 illustrations, brochure originale. Please notify before visiting to see a book. Prices are excl. VAT/TVA (only Switzerland) & postage.
EUR 65,25
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Aggiungi al carrelloCouverture rigide. Condizione: bon. RO30359328: 1976. In-4. Relié. Bon état, Coins frottés, Dos satisfaisant, Papier jauni. Environ 500 pages. Quelques rousseurs. Signet conservé. Jaquette passable. Nombreuses planches de photos et illustrations en noir et blanc et en couleurs. Avec Jaquette. . . Classification Dewey : 947-Europe de l'Est, URSS.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 117,31
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 112,72
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 106,39
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 286.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 94,20
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a rigorous analysis of the achievements in the field of traffic control in large networks, oriented on two main aspects: the self-similarity in traffic behaviour and the scale-free characteristic of a complex network. Additionally, the authors propose a new insight in understanding the inner nature of things, and the cause-and-effect based on the identification of relationships and behaviours within a model, which is based on the study of the influence of the topological characteristics of a network upon the traffic behaviour. The effects of this influence are then discussed in order to find new solutions for traffic monitoring and diagnosis and also for traffic anomalies prediction. Although these concepts are illustrated using highly accurate, highly aggregated packet traces collected on backbone Internet links, the results of the analysis can be applied for any complex network whose traffic processes exhibit asymptotic self-similarity, perceived as an adaptability of traffic in networks. However, the problem with self-similar models is that they are computationally complex. Their fitting procedure is very time-consuming, while their parameters cannot be estimated based on the on-line measurements. In this aim, the main objective of this book is to discuss the problem of traffic prediction in the presence of self-similarity and particularly to offer a possibility to forecast future traffic variations and to predict network performance as precisely as possible, based on the measured traffic history. 304 pp. Englisch.
Da: moluna, Greven, Germania
EUR 84,10
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Radu Dobrescu was born in 1946. He received his Dipl.Eng. degree in Automatic Control from the Faculty of Control and Computers of the Polytechnical Institute of Bucharest in 1968. In 1976, he received his Ph.D. degree in Automatic Contr.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,33
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book offers a rigorous analysis of the achievements in the field of traffic control in large networks, oriented on two main aspects: the self-similarity in traffic behaviour and the scale-free characteristic of a complex network. Additionally, the authors propose a new insight in understanding the inner nature of things, and the cause-and-effect based on the identification of relationships and behaviours within a model, which is based on the study of the influence of the topological characteristics of a network upon the traffic behaviour. The effects of this influence are then discussed in order to find new solutions for traffic monitoring and diagnosis and also for traffic anomalies prediction. Although these concepts are illustrated using highly accurate, highly aggregated packet traces collected on backbone Internet links, the results of the analysis can be applied for any complex network whose traffic processes exhibit asymptotic self-similarity, perceived as an adaptability of traffic in networks. However, the problem with self-similar models is that they are computationally complex. Their fitting procedure is very time-consuming, while their parameters cannot be estimated based on the on-line measurements. In this aim, the main objective of this book is to discuss the problem of traffic prediction in the presence of self-similarity and particularly to offer a possibility to forecast future traffic variations and to predict network performance as precisely as possible, based on the measured traffic history.