Download Server architectures: multiprocessors, clusters, parallel by René J. Chevance PDF
By René J. Chevance
The target of this ebook is to give and evaluate numerous thoughts one for structures structure from separate issues of view. One, that of the knowledge expertise decision-maker who needs to decide upon an answer matching corporation company specifications, and secondly that of the platforms architect who unearths himself among the rock of adjustments in and software program applied sciences and the tough position of adjusting company needs.
Different facets of server structure are awarded, from databases designed for parallel architectures to high-availability platforms, and touching en path on usually missed functionality features.
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Extra info for Server architectures: multiprocessors, clusters, parallel systems, web servers, and storage solutions
Sample text
An operating system module, the scheduler, chooses the process to run on the processor. At any given moment, just one process is running. In the case of an SMP, there is still just one process queue, but there can be as many processes executing at one time as there are processors. In an SMP, it is still the scheduler that chooses which processes should run, and where. If we assume that each application is implemented as exactly one process, then an SMP with N processors is capable of executing N processes simultaneously, and thus to have throughput (expressed as processes executed per unit time) higher than that of a uniprocessor.
To ease physical management of the servers that make up the cluster, it is convenient to have them in geographical proximity—a choice emphasized by constraints imposed by some peripherals which must be shared. , one File System for the cluster, a single IP address for the cluster), which makes the collection look like a single system to its users. 4 illustrates the model of execution on a multiprocessor with loose coupling. Each node supports some number of applications. On a given node, assuming that it is an SMP, the application can take advantage of the multiple processors as described above.
We have to look at the scalability of a server in each of the dimensions of a system: processing capability (the number of processors one can install), address space (which means, in practice, 64-bit address space), physical memory capacity, how many storage systems or subsystems may be attached, and communications capacity (how many lines, and aggregate bandwidth). , computational performance, main memory capacity, storage capacity, connectivity, or bandwidth) arise, the server cannot adapt to the new needs and must be swapped out for a new one.