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Books > Computing & IT > General theory of computing
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Run-time Models for Self-managing Systems and Applications (Paperback, Edition.)
Loot Price: R1,384
Discovery Miles 13 840
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Run-time Models for Self-managing Systems and Applications (Paperback, Edition.)
Series: Autonomic Systems
Expected to ship within 18 - 22 working days
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The complexity of Information Technology (IT) systems has been
steadily incre- ing in the past decades. In October 2001, IBM
released the "Autonomic Computing Manifesto" observing that current
applications have reached the size of millions of lines of code,
while physical infrastructures include thousands of heterogeneous
servers requiring skilled IT professionals to install, con?gure,
tune, and maintain. System complexity has been recognized as the
main obstacle to the further advan- ment of IT technology. The
basic idea of Autonomic Computing is to develop IT systems that are
able to manage themselves, as the human autonomic nervous system
governs basic body functions such as heart rate or body
temperature, thus freeing the conscious brain- IT
administrators-from the burden of dealing with low-level vital
functions. Autonomic Computing systems can be implemented by
introducing autonomic controllers which continuously monitor,
analyze, plan, and execute (the famous MAPE cycle) recon?guration
actions on the system components. Monitoring acti- ties are
deployed to measure the workload and performance metrics of each
running component so as to identify system faults. The goal of the
analysis activities is to determine the status of components from
the monitoring data, and to forecast - ture conditions based on
historical observations. Finally, plan and execute activities aim
at deciding and actuating the next system con?guration, for
example, deciding whether to accept or reject new requests,
determining the best application to servers assignment, in order to
the achieve the self-optimization goals.
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