| 書(shū)目名稱 | Run-time Models for Self-managing Systems and Applications | | 編輯 | Danilo Ardagna,Li Zhang | | 視頻video | http://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(shū)名稱 | Autonomic Systems | | 圖書(shū)封面 |  | | 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 | | doi | https://doi.org/10.1007/978-3-0346-0433-8 | | isbn_softcover | 978-3-0346-0432-1 | | isbn_ebook | 978-3-0346-0433-8Series ISSN 2504-3862 Series E-ISSN 2504-3870 | | issn_series | 2504-3862 | | copyright | Springer Basel AG 2010 |
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