رسالة جامعية
Performance Optimization of Big Data Storage Systems through Performance Metric Analysis
| العنوان: | Performance Optimization of Big Data Storage Systems through Performance Metric Analysis |
|---|---|
| العنوان البديل: | 藉由性能指標分析優化大數據儲存系統之性能 |
| المؤلفون: | QIHUI SUN, 孫啟慧 |
| مرشدي الرسالة: | PO-CHUN HUANG, TING-YING CHIEN, 黃柏鈞, 簡廷因 |
| سنة النشر: | 2017 |
| المجموعة: | National Digital Library of Theses and Dissertations in Taiwan |
| الوصف: | 105 Recently, the significance of data mining and machine learning have been highlighted in diversified application scenarios. Various data mining and machine learning techniques are often used to analyze the gigantic amount of data to create more commercial values in high-end enterprise systems. However, the advancement of technologies has made data mining and machine learning possible on low-end systems, such as personal computers or embedded systems. While researchers have proposed excellent work on the management designs of different components of the system, most of the work are built upon the characteristics of the system, which may change from time to time. This makes it impossible to optimize the system performance with static, or statically adaptive, system designs. In this work, we propose to embed the supports of data mining and machine learning to the design of operating system, so as to discover a new, automatized way to adaptively optimize the system without using complex algorithms. To validate the proposed ideas, we choose the cache design as a case study, where the replacement of cached contents is automatically controlled by a decision maker. The decision maker then replies on a data miner, which analyzes the data collected by the system monitor. The efficacy of the considered case is verified by a series of experiments, where the results are quite encouraging. |
| Original Identifier: | 105YZU05392024 |
| نوع الوثيقة: | 學位論文 ; thesis |
| وصف الملف: | 24 |
| الإتاحة: | http://ndltd.ncl.edu.tw/handle/98600541486592197085Test |
| رقم الانضمام: | edsndl.TW.105YZU05392024 |
| قاعدة البيانات: | Networked Digital Library of Theses & Dissertations |
| الوصف غير متاح. |