Scaling for E-Business; Tecnology, Models, Performance and Capacity Planning

Menasce,Daniel A.; Almeida, Virgilio A. F.

ISBN 10: 0130863289 / ISBN 13: 9780130863287

Edité par Prentice -Hall PTR, Upper Saddle River, NJ U.S.A., 2000

A propos de cet article

contains models for E-business, customer behavior, functions, infrastructure and services(authentication and payment), capacity planning methodology, performance modeling,( setup and problem solving), business workloads, waves of demand, and case studies for business to customer and business to business models, many equations, tables and charts, xii and 449 pages.

N° de réf. du vendeur 007575

Détails bibliographiques

• Titre: Scaling for E-Business; Tecnology, Models, Performance and Capacity Planning
• Éditeur: Prentice -Hall PTR, Upper Saddle River, NJ U.S.A.
• Date de parution: 2000
• Langue: anglais
• ISBN à 10 chiffres: 0130863289
• ISBN à 13 chiffres: 9780130863287
• Reliure: Hardcover
• Édition: First Edition
• État de l'article: Fine
• État de la jaquette: No Jacket
• Catalogues du vendeur:
  • Business

A propos de ce titre

Synopsis

In 1999, slow E-commerce sites cost their owners $44 billion in lost revenue -- and site failures have embarrassed companies from Britannica to eBay, Victoria's Secret to Charles Schwab. In Scaling for e-Business, two of the world's leading Web performance experts present powerful techniques for characterizing, predicting, anticipating, and addressing every aspect of E-commerce site performance. Scaling for e-Business demonstrates how to characterize E-commerce workloads more accurately than any book published yet. It clearly demonstrates techniques for analyzing the performance of authentication and payment services; modeling contention for software servers; modeling and planning for communications infrastructure; and most importantly, forecasting and addressing peak demand. Finally, the Web/E-Commerce developer will discover how to evaluate and project the long-term impact of changes in his/her site visitor profile -- even the growth of non-PC devices and traffic from "intelligent agents" such as comparative shopping bots.

À propos de l?auteur

DANIEL A. MENASCÉ is Professor of Computer Science at George Mason University, and a fellow of the Association for Computing Machinery.

VIRGILIO A. F. ALMEIDA is Professor of Computer Science at the Federal University of Minas Gerais, Brazil, and formerly held visiting positions at Xerox PARC and Boston University.

The authors' interests include performance modeling and capacity planning for large-scale Web and e-commerce environments.