The goal of this book is to present and compare various options one for systems architecture from two separate points of view. One, that of the information technology decision-maker who must choose a solution matching company business requirements, and secondly that of the systems architect who finds himself between the rock of changes in hardware and software technologies and the hard place of changing business needs.
Different aspects of server architecture are presented, from databases designed for parallel architectures to high-availability systems, and touching en route on often- neglected performance aspects.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Für Beruf und Forschung
Enterprise systems & network administrators
Maße
Höhe: 235 mm
Breite: 191 mm
Gewicht
ISBN-13
978-1-55558-333-0 (9781555583330)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
He joined CII in 1968, a Company which later merged with Groupe Bull. In his role of system architect and later as Chief Scientist, he initiated many key projects.He has a wide range of teaching experience during his 20 years at Universite Paris 6 (Compiler Construction, Software Engineering) and for more than 10 years, as an Associate Professor, at CNAM (System Architecture and System Integration).He has written several papers and a book on server architectures "Serveurs Multiprocesseurs, clusters et architectures paralleles" Eyrolles (Paris april 2000). He can be reached at www.chevance.com (email: rjc@chevance.com).
Autor*in
Rene Chevance has an engineering degree from Conservatoire National des Arts et Metiers (CNAM) and a Doctorat d'Etat from Universite Paris 6. He left Groupe Bull in 1999 to become a consultant.
Part 1: Architectural Options and Technology Evolution 1. Processors and Memory 2. I/O 3. Evolution of Software Technology
Part 2: Systems Architecture Options 4. Symmetrical (Tightly-Coupled) Multiprocessors 5. Clusters and Massively Parallel Machines 6. Data Storage 7. Systems Performance and Estimation Techniques 8. DBMS and Server Architectures 9. The Terminology of High-Availability Systems 10. Hardware and software Solutions for High Availability 11. Selection Criteria and Total Cost of Ownership 12. Conclusions and Prospects
