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Server architectures: multiprocessors, clusters, parallel by René J. Chevance

By René J. Chevance

The target of this e-book is to provide and examine quite a few concepts one for structures structure from separate issues of view. One, that of the knowledge know-how decision-maker who needs to opt for an answer matching corporation enterprise necessities, and secondly that of the platforms architect who reveals himself among the rock of alterations in and software program applied sciences and the challenging position of adjusting enterprise needs.
Different points of server structure are provided, from databases designed for parallel architectures to high-availability platforms, and touching en direction on usually ignored functionality points.

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Extra resources for Server architectures: multiprocessors, clusters, parallel systems, web servers, and storage solutions

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Given the size of server memory systems and the need for data integrity, an error correcting code (ECC) is essential. , two erroneous bits). To do this, for example, requires 72 bits (64 bits of data and 8 bits of error-correcting code) to represent each 64 bits of information, or 288 bits (256 bits of data and 32 bits of ECC). Given the assumptions, it can be seen that a memory system’s natural size has grown one thousandfold in just 15 years—between 1985 and the end of the 1990s, the example memory system grows from 2 MB to 2 GB.

1 Systems Architecture Basics This first portion of the book reviews hardware technologies that have an effect on server performance and architecture. The hardware analysis is broken up into two parts, first looking at processors and memory and then at I/ O and peripheral subsystems. The evolution of software technologies are then examined. First of all, we present the key elements of systems architecture which must be understood before analyzing the evolution of server architecture. 1 Systems Architecture Basics As we shall see, a server’s processing performance is limited by, among other things, microprocessor performance.

Of course, when it is necessary to cancel a transaction, that can be done—a bank officer needs to effect a new transaction to move the funds back, and this new transaction must itself respect the ACID properties. As we shall see, solutions for several systems problems, such as guaranteeing continuity of service, can be based upon these properties. Transaction Processing and Decision Support xxxiii In the case of decision support, it is possible for data to be shared, but generally just shared for reading.

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