2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2)最新文献_第5页

Service Recommendation with Context-Aware User Reputation Evaluation 基于上下文感知的用户声誉评估的服务推荐

2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2) Pub Date : 2017-11-01 DOI: 10.1109/SC2.2017.47

Zhiheng Wu, Jinglin Li, Qibo Sun, Ao Zhou

引用次数: 2

Integrating Service QFD and TRIZ for a Lucky Draw System Design: The Case Study 集成服务QFD和TRIZ的抽奖系统设计:案例研究

2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2) Pub Date : 2017-11-01 DOI: 10.1109/SC2.2017.36

Fang-Mei Tseng, Ju-yin Weng

引用次数: 2

A Fault Tolerance Mechanism for Semiconductor Equipment Monitoring 半导体设备监控的容错机制

2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2) Pub Date : 2016-07-21 DOI: 10.1109/SC2.2017.33

Shao-Jui Chen, Hsueh-Wen Liu, Wei-Jen Wang

{"title":"A Fault Tolerance Mechanism for Semiconductor Equipment Monitoring","authors":"Shao-Jui Chen, Hsueh-Wen Liu, Wei-Jen Wang","doi":"10.1109/SC2.2017.33","DOIUrl":"https://doi.org/10.1109/SC2.2017.33","url":null,"abstract":"As the semiconductor manufacturing technology advances, the size of a wafer becomes bigger and the critical dimension becomes smaller than before. This means a wafer can be used to produce more chips. However, the process of manufacturing chips is costly while using today's semiconductor manufacturing technology. Any defect on the wafer may fail the final product and cause large business loss. To reduce the chance of defects on the wafer, the parameters of the manufacturing environment must be precisely controlled. To achieve this goal, a monitoring system is usually used to collect real-time information, which helps shorten the decision time for changing the parameters of the manufacturing environment. For now, most of the semiconductor manufacturing machines support the SECS/GEM standard, which defines how to obtain the monitoring data of the machines via TCP/IP. The problem is that, the existing monitoring approach rarely supports failover and needs human intervention when the system crashes. This implies a long recovery time. Moreover, the failure may further cause other problems. For example, a manufacturing alarm system could generate a false alarm or overlook an important abnormality during the failure time, since the monitoring system fails to feed any data to the alarm system. To solve this problem, we introduce a new fault-tolerance monitoring mechanism based on the techniques of server redundancy and checkpointing. With the proposed approach, the monitoring system is able to achieve a very small downtime, and consequently helps the manufacturing process and the yield rate.","PeriodicalId":188326,"journal":{"name":"2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115753839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Fault-Tolerant ONVIF Standard Extension for Cloud-Based Surveillance Systems 基于云的监控系统的容错ONVIF标准扩展

2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2) Pub Date : 1900-01-01 DOI: 10.1109/SC2.2017.38

Hsin-Ta Chiao, C. Lin, Yue-Shan Chang, Ruey-Kai Sheu, Lung-Pin Chen, S. Yuan

引用次数: 0

UCS — A Unified Cloud Storage Integration Service UCS—统一的云存储集成服务

2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2) Pub Date : 1900-01-01 DOI: 10.1109/SC2.2017.45

Che-Pin Chang, Hsin-Ta Chiao, Yue-Shan Chang, Ching-Tsorng Tsai, Kuo-Kai Yuen, S. Yuan

{"title":"UCS — A Unified Cloud Storage Integration Service","authors":"Che-Pin Chang, Hsin-Ta Chiao, Yue-Shan Chang, Ching-Tsorng Tsai, Kuo-Kai Yuen, S. Yuan","doi":"10.1109/SC2.2017.45","DOIUrl":"https://doi.org/10.1109/SC2.2017.45","url":null,"abstract":"Although cloud storage integration services have been developed in recent years that providing a single interface to manage multiple cloud storage accounts across different providers, these cloud storage integration services still remain several issues that do not address. First, because these services do not support arrangement mechanisms for users, they need to keep track of which account they want to upload files to and arrange their storage spaces manually. Second, since each account is divided into different sections, it is impossible to provide a virtual folder that contains files from different cloud storage providers. In addition, when all accounts are nearly full, integration services could not chunk a file to store it across multiple accounts. Third, uploading and moving files across accounts are always done through the integration service's server, which might become a bottleneck when there are a lot of users uploading files at the same time. In this paper, we propose a new cloud storage integration service - Unified Cloud Storage (UCS) for solving the above-mentioned issues, and evaluate its performance by experiments.","PeriodicalId":188326,"journal":{"name":"2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116375843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Votable Concept Mapping Approach to Promoting Students' Attentional Behavior: Based on the Evidence of Mining Sequential Behavioral Patterns 促进学生注意行为的表格概念映射方法:基于顺序行为模式挖掘的证据

2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2) Pub Date : 1900-01-01 DOI: 10.1109/SC2.2017.53

J. Sun, Gwo-jen Hwang, Yu-Yan Lin, Shih-Jou Yu, Liu-Cheng Pan, A. Y. Chen

引用次数: 1