2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)最新文献_第8页

Hot topic analysis and content mining in social media 社交媒体热点话题分析与内容挖掘

2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC) Pub Date : 2014-12-01 DOI: 10.1109/PCCC.2014.7017056

Qian Yu, WeiTao Weng, Kai Zhang, Kai Lei, Kuai Xu

{"title":"Hot topic analysis and content mining in social media","authors":"Qian Yu, WeiTao Weng, Kai Zhang, Kai Lei, Kuai Xu","doi":"10.1109/PCCC.2014.7017056","DOIUrl":"https://doi.org/10.1109/PCCC.2014.7017056","url":null,"abstract":"Sina Weibo has become an increasingly critical social media in China for sharing latest news, marketing new products, and discussing controversial issues. The rising importance of Sina Weibo on the society makes it very important to understand “what”, “when”, “who” on hot topics that are being continuously tweeted and searched by millions of active users. In this paper, we develop a systematic approach to characterize temporal distribution of hot topics searched by Sina Weibo users over a four-month time-span and to uncover correlated hot topics that are not only tweeted by the same users, but also appear in the similar set of tweet messages. We analyze real-time Sina Weibo tweet data streams and study volume correlations and temporal gaps between user searches and tweeting activities on hot topics. In addition, we examine the correlations between hot topic searches on social media and on search engines to understand hot topics and user behaviors across different platforms. Given the challenges of analyzing massive amount of tweet data, we explore Hadoop MapReduce framework to effectively process millions of tweets from the collected data-sets, and quantify the performance benefits of MapReduce on analyzing tweet streams. To the best of our knowledge, this paper is the first effort to characterize temporal search patterns of hot topics on Sina Weibo and to study their correlations with tweeting data streams as well as search engine statistics.","PeriodicalId":105442,"journal":{"name":"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)","volume":"34 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133008489","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: 12

Marbor: A novel large-scale graph data storage and processing framework Marbor:一个新的大规模图形数据存储和处理框架

2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC) Pub Date : 2014-12-01 DOI: 10.1109/PCCC.2014.7017031

W. Zhou, Yun Gao, Jizhong Han, Zhiyong Xu

引用次数: 0

Distributed compressive data gathering in low duty cycled wireless sensor networks 低占空比无线传感器网络中的分布式压缩数据采集

2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC) Pub Date : 2014-12-01 DOI: 10.1109/PCCC.2014.7017113

Yimao Wang, Yanmin Zhu, Ruobing Jiang, Juan Li

引用次数: 3

A modified max-min ant colony optimization algorithm for virtual machines replacement in cloud datacenter§ 云数据中心虚拟机替换的改进最大最小蚁群优化算法[j]

2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC) Pub Date : 2014-12-01 DOI: 10.1109/PCCC.2014.7017047

Tiantian Ren, Xinli Huang

引用次数: 0

Embedded system based on microcontroller for generating I-V curves of electronic devices 基于单片机的嵌入式电子器件I-V曲线生成系统

2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC) Pub Date : 2014-12-01 DOI: 10.1109/PCCC.2014.7017033

Mario J. Illera, S. Sepulveda

{"title":"Embedded system based on microcontroller for generating I-V curves of electronic devices","authors":"Mario J. Illera, S. Sepulveda","doi":"10.1109/PCCC.2014.7017033","DOIUrl":"https://doi.org/10.1109/PCCC.2014.7017033","url":null,"abstract":"A key parameter in the analysis of electronic devices behavior is their current-voltage curve, also known as characteristic curve. This information allows the designer to select the type of components required for a given application in order to obtain an optimal system performance. This paper presents a low-cost and low-power consumption embedded system able to accurately generate the characteristic curve of electronic devices. Microcontroller PIC18F4550 effectively handles different serial communication protocols to exchange data between a Java application running on a computer and different peripheral devices. The firmware within the microcontroller receives data from the Java interface and executes an algorithm to send a series of analog voltages to the element being characterized and it also measures the resultant current for each voltage; then, the pair of data points is sent back to the Java application to build the plot. The resultant data can be exported to a spreadsheet to be further analyzed. We characterized different electronic devices to evaluate the performance of the prototype. Successful repeatability tests and validation of theoretical models with experimental data indicated that the embedded system developed is accurate and reliable.","PeriodicalId":105442,"journal":{"name":"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116493640","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: 0

Financial fraud detection using social media crowdsourcing 利用社交媒体众包进行金融欺诈检测

2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC) Pub Date : 2014-12-01 DOI: 10.1109/PCCC.2014.7017023

Timothy Matti, Yuntao Zhu, Kuai Xu

引用次数: 4

A novel thermal-constrained energy-aware partitioning algorithm for heterogeneous multiprocessor real-time systems 异构多处理器实时系统中一种新的热约束能量感知分区算法

2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC) Pub Date : 2014-12-01 DOI: 10.1109/PCCC.2014.7017092

B. Barrefors, Ying Lu, Shivashis Saha, J. Deogun

引用次数: 6

ZigBee vs WiFi: Understanding issues and measuring performances of their coexistence ZigBee与WiFi:了解两者共存的问题并衡量其性能

2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC) Pub Date : 2014-12-01 DOI: 10.1109/PCCC.2014.7017082

Z. Zhao, Xuanxuan Wu, Xin Zhang, Jing Zhao, Xiangyang Li

引用次数: 24

Characterizing the workload dynamics of a mobile phone network during the FIFA 2014 World Cup 表征2014年FIFA世界杯期间移动电话网络的工作量动态

2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC) Pub Date : 2014-12-01 DOI: 10.1109/PCCC.2014.7017034

Hayala Nepomuceno Curto, A. Ziviani, J. Caetano, Carlos Henrique S. Malab, J. Almeida, H. T. Marques-Neto

{"title":"Characterizing the workload dynamics of a mobile phone network during the FIFA 2014 World Cup","authors":"Hayala Nepomuceno Curto, A. Ziviani, J. Caetano, Carlos Henrique S. Malab, J. Almeida, H. T. Marques-Neto","doi":"10.1109/PCCC.2014.7017034","DOIUrl":"https://doi.org/10.1109/PCCC.2014.7017034","url":null,"abstract":"The high popularity of human communication based on mobile phone services exhibits different behaviors in different places and time. Large-scale events, such as the FIFA World Cup, create an auspicious atmosphere for the attendees to use such services to share their experiences with relatives and friends. This work characterizes the workload dynamics of a major mobile phone network on different days when major soccer matches took place in Rio de Janeiro, Brazil. We analyze the usage behavior of three profiles of attendees of two major matches of the FIFA 2014 World Cup, including the final between Germany and Argentina on July 13, 2014. We compare these profiles with similar results computed on a dataset of calls and SMS collected on the day of the final match of 2013 Brazilian Cup, which happened at the same stadium of the World Cup final. We note that users of each analyzed profile, i.e. (i) attendees who made cellphone calls and sent SMS messages, (ii) attendees who only made calls, and (iii) attendees who only sent SMS, have different behaviors in different periods of the event.","PeriodicalId":105442,"journal":{"name":"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124069210","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

SLA aware cost efficient virtual machines placement in cloud computing 云计算中支持SLA的低成本虚拟机布局

2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC) Pub Date : 2014-12-01 DOI: 10.1109/PCCC.2014.7017101

Jiangtao Zhang, Zhixiang He, Hejiao Huang, Xuan Wang, Chonglin Gu, Lingmin Zhang

{"title":"SLA aware cost efficient virtual machines placement in cloud computing","authors":"Jiangtao Zhang, Zhixiang He, Hejiao Huang, Xuan Wang, Chonglin Gu, Lingmin Zhang","doi":"10.1109/PCCC.2014.7017101","DOIUrl":"https://doi.org/10.1109/PCCC.2014.7017101","url":null,"abstract":"Servers and network contribute about 60% to the total cost of data center in cloud computing. How to efficiently place virtual machines so that the cost can be saved as much as possible, while guaranteeing the quality of service plays a critical role in enhancing the competitiveness of service cloud provider. Considering the heterogeneous servers and the random property of multiple resources requirements of virtual machines, the problem is formulated as a multi-objective nonlinear programming in this paper. Virtual machine cluster with higher traffic is made staying together. This reduces the communication delay while saving the inter-server bandwidth consumption, especially the relatively scarce higher level bandwidth, by exploiting the topology information of data center. At the same time, statistic multiplex and newly defined “similarity” techniques are leveraged to consolidate virtual machines. The violation of resource capacity is kept at any designated minimal probability. Thus the quality of service will not be deteriorated while saving servers and network cost. An offline and an online algorithms are proposed to address this problem. Experiments compared with several baseline algorithms show the validity of the new algorithms: more cost is cut down at less computation effort.","PeriodicalId":105442,"journal":{"name":"2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)","volume":"248 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132817702","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: 21