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A Cost and resource consumption model for Improving resource Efficiency of Configurable Roll-to-roll Processing

Procedia CIRP 2015年 29卷 845-850页

作者： Yeo Zhiquan Ng Ruisheng Song Bin Singapore Institute Of Manufacturing Technology Singapore

Roll-to-roll (R2R) processing is the process of creating functional films and printed electronic devices, such as printed RFID and printed lighting, by integrating various large area manufacturing processes into a single manufacturing line. It is poised to be a low-cost and efficient manufacturing technology. However, uncertainty and risk exists for the production of specific products in competition with conventional manufacturing approaches. Therefore, a configurable cost and resource consumption model was developed in order to assess the resource effectiveness of the R2R processing line for a specific product design and to identify areas of improvement. The model considers the technical and parametric relationships in terms of cost, manpower, materials, energy consumption and resource requirements. Using the model, hotspots in the manufacturing line were identified and appropriate recommendations were suggested to minimize resource usage and waste, thereby further reducing the cost of manufacturing and enhancing its commercial viability.

关键词： roll-to-roll processing resource consumption model cost model resource efficiency process improvement

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A cost and resource consumption model for improving resource efficiency of configurable roll-to-roll processing 22

A cost and resource consumption model for improving resource...

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22nd CIRP Conference on Life Cycle Engineering (LCE)

作者： Yeo Zhiquan Ng Ruisheng Song Bin Singapore Inst Mfg Technol Singapore Singapore

ISBN: (纸本)9781510804593

关键词： roll-to-roll processing resource consumption model cost model resource efficiency process improvement

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NoSQL Database Performance Diagnosis through System Call-level Introspection

NoSQL Database Performance Diagnosis through System Call-lev...

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IEEE/IFIP Network Operations and Management Symposium

作者： Seo, Changho Chae, Yunchang Lee, Jaeryun Seo, Euiseong Tak, Byungchul Kyungpook Natl Univ Dept Comp Sci & Engn Daegu South Korea Sungkyunkwan Univ Dept Comp Sci & Engn Suwon South Korea

ISBN: (纸本)9781665406017

Since its emergence, NoSQL databases have firmly established themselves as an indispensable software component of modern cloud-native applications. However, it also becomes increasingly challenging to perform critical management tasks such as troubleshooting unexpected performance problems. This is due to the ever-increasing diversity and specialization of NoSQL databases that make it difficult to observe the internal activities. To address these challenges, we have designed and built a technique for introspecting NoSQL databases. Our technique traces system call sequences of key operations under controlled workloads and filters scaling patterns from constant components. Novel algorithms are developed to uncover repeating patterns of system calls from massive amounts of traces and filter out background noise with high efficiency. The evaluation shows that our technique can greatly enhance the visibility into the NoSQL databases enabling us to diagnose performance problems or gain insights into internal activities.

关键词： NoSQL database Introspection Visibility resource consumption model System Call Performance diagnosis

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