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Titlebook: Run-time Models for Self-managing Systems and Applications; Danilo Ardagna,Li Zhang Book 2010 Springer Basel AG 2010 Autonomic computing.C

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書目名稱Run-time Models for Self-managing Systems and Applications
編輯Danilo Ardagna,Li Zhang
視頻videohttp://file.papertrans.cn/833/832104/832104.mp4
概述Investigate concepts, models and tools for the run-time management of autonomic computing systems at very fine-grained time scales and in transient conditions Introduces the main challenges and future
叢書名稱Autonomic Systems
圖書封面Titlebook: Run-time Models for Self-managing Systems and Applications;  Danilo Ardagna,Li Zhang Book 2010 Springer Basel AG 2010 Autonomic computing.C
描述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
出版日期Book 2010
關(guān)鍵詞Autonomic computing; Computer; Management; Performance; calculus; distributed systems; modeling; optimizati
版次1
doihttps://doi.org/10.1007/978-3-0346-0433-8
isbn_softcover978-3-0346-0432-1
isbn_ebook978-3-0346-0433-8Series ISSN 2504-3862 Series E-ISSN 2504-3870
issn_series 2504-3862
copyrightSpringer Basel AG 2010
The information of publication is updating

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Estimating Model Parameters of Adaptive Software Systems in Real-Time,model based control in such systems, an accurate mechanism for estimating the software system’s model parameters is required. This paper deals with real-time estimation of a performance model for adaptive software systems that process . classes of transactional workload. First, insights in to the st
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Run Time Models in Adaptive Service Infrastructure,uting platforms and operates in different execution environments. Heterogeneity of the underlying communication and computing infrastructure, mobility inducing changes to the execution environments and therefore changes to the availability of resources and continuously evolving requirements require
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,Stochastic Analysis and Optimization of?Multiserver Systems,ods and results that have been and will continue to be used for the stochastic analysis and/or optimization of existing and future multiserver systems arising in a wide variety of application domains including autonomic computing.
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