EAN: 9783034604321

AUTONOMIC SYSTEMS RUN-TIME MODELS FOR SELF-MA...

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.

Aktuelle Preise zur EAN 9783034604321

Produktinformationen zur 9783034604321