02538cam a22003132 b45000010008000000030004000080050017000120060019000290070015000480080041000630200018001040200064001220240018001860350026002040370025002300400024002550820020002791000033002992100063003322450086003952600091004814400027005725060043005995201322006425210051019647000027020157730050020428560132020928578167OSt20150408113918.0m        d        cr  n         100927e20101116sz      s|||||||| 2|eng|d  a9783034604321  a3034604327 (Trade Paper)cUSD 69.95 Retail Price (Springer)3 a9783034604321  a(WaSeSS)ssj0000446753  a3034604327b00145491  aBIP USdWaSeSScDLC  221a005.13bADR1 aArdagna, DaniloeEditor4edt10aRun-time Models for Self-managing Systems and Applications10aRun-time Models for Self-managing Systems and Applicationsh[electronic resource]  aCH-4010 Basel : bBirkhauser Verlag AGcNov. 2010aSecaucus : bSpringer [Distributor] 0aAutonomic Systems Ser.  aLicense restrictions may limit access.8 aAnnotationbThis edited volume focuses on the adoption of run-time models for the design and management of autonomic systems. Traditionally, performance models have a central role in the design of computer systems. Models are used at design-time to support the capacity planning of the physical infrastructure and to analyze the effects and trade-offs of different architectural choices. Models may also be used at run-time to assess the compliance of the running system with respect to design-time models, to measure the real system performance parameters to fill the gap between design and run-time. Models at run-time can also assess the compliance of service level agreements and trigger autonomic systems re-configuration. Run-time models are receiving great interest, since, e.g., power management of CPUs and resource management in virtualized systems can be actuated at very fine grain time scales. In such situations, traditional performance techniques evaluating the systems steady state may provide only a rough estimate of system behavior and are not effective to react to workload fluctuations. This book includes advanced techniques and solutions for the run-time estimation of autonomic systems performance, the analysis of transient conditions and their application in advanced prototype environments.  aScholarly & ProfessionalbBirkhauser Verlag AG1 aZhang, LieEditor4edt 0tSpringerLink ebooks - Computer Science (2010)40uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio8578167zFull text available from SpringerLink ebooks - Computer Science (2010)