Server Architectures:
Multiprocessors, Clusters, Parallel Systems, Web Servers, Storage Solutions
René J. Chevance
Publisher: Digitаl Prеss | 2004-12-29 | ISBN: 1555583334
PDF | 784 pages | 7.51 MB
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.
Multiprocessors, Clusters, Parallel Systems, Web Servers, Storage Solutions
René J. Chevance
Publisher: Digitаl Prеss | 2004-12-29 | ISBN: 1555583334
PDF | 784 pages | 7.51 MB
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.
1. The book provides IT managers, decision makers and project leaders who want to acquire knowledge sufficient to understand the choices made in and capabilities of systems offered by various vendors:
2. Provides system design information to balance the characteristic applications against the capabilities and nature of various architectural choices
3. In addition, it offers an integrated view of the concepts in server architecture, accompanied by discussion of effects on the evolution of the data processing industry.
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