2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)最新文献_第2页

Geo-identification of web users through logs using ELK stack 使用ELK堆栈通过日志对web用户进行地理识别

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 2016-07-11 DOI: 10.1109/CONFLUENCE.2016.7508191

T. Prakash, Misha Kakkar, Kritika Patel

{"title":"Geo-identification of web users through logs using ELK stack","authors":"T. Prakash, Misha Kakkar, Kritika Patel","doi":"10.1109/CONFLUENCE.2016.7508191","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508191","url":null,"abstract":"With the Internet penetration rate going higher, huge amount of log files are being generated, which contains hidden information having enormous business value. To unlock the hidden returns, log management system helps in making business decisions. Although, a lot of log management exist but they either fail to scale or are costly. Here efforts have been made to solve the shortcomings of prevailing log analyzer tools and this paper demonstrates the working of ELK ecosystem i.e. Elasticsearch, Logstash and Kibana clubbed together to efficiently analyze the log files and provide an interactive and easily understandable insights. Log management systems built on ELK stack are desired to analyze large log data sets while making the whole computation process easy to monitor through an interactive interface. Being from open source community ELK stack has many useful features for log analysis. Elasticsearch is used as Indexing, storage and retrieval engine. Logstash acts as a Log input slicer and dicer and output writer while Kibana performs Data visualization using dashboards. By implementing ELK ecosystem we have efficiently geo-identify the website users traffic using logs.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124598309","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: 39

An efficient automated design to generate UML diagram from Natural Language Specifications 从自然语言规范生成UML图的高效自动化设计

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 1900-01-01 DOI: 10.1109/CONFLUENCE.2016.7508197

Sarita Gulia, T. Choudhury

{"title":"An efficient automated design to generate UML diagram from Natural Language Specifications","authors":"Sarita Gulia, T. Choudhury","doi":"10.1109/CONFLUENCE.2016.7508197","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508197","url":null,"abstract":"The foremost problem that arises in the Software Development Cycle is during the Requirements specification and analysis. Errors that are encountered during the first phase of the cycle migrate to other phases too which in turn results in the most costly process than the original specified process. The reason is that the specifications of software requirements are termed in the Nature Language Format. One can easily transform the requirements specified into computer model using UML. To minimize the errors that arise in the existing system, we have proposed a new technique that enhances the generation of UML models through Natural Language requirements, which can easily provide automatic assistance to the developers. The main aim of our paper is to focus on the production of Activity Diagram and Sequence Diagram through Natural Language Specifications. Standard POS tagger and parser analyze the input i.e., requirements in English language given by the users and extract phrases, activities, etc. from the text specifies. The technique is beneficial as it reduces the gap between informal natural language and the formal modeling language. The input is the requirements laid down by the users in English language. Some stages like pre-processing, part of speech (POs), tagging, parsing, phrase identification and designing of UML diagrams occur along with the input. The application and its framework is developed in Java and it is tested on by implementing on a few technical documents.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"23 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":"116655684","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: 37

A Preemptive Priority Based Job Scheduling Algorithm in Green Cloud Computing 绿色云计算中一种基于抢占优先级的作业调度算法

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 1900-01-01 DOI: 10.1109/CONFLUENCE.2016.7508105

Gaganjot Kaur, Sugandhi Midha

引用次数: 10

Exploring software complexity metric from procedure oriented to object oriented 探索从面向过程到面向对象的软件复杂性度量

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 1900-01-01 DOI: 10.1109/CONFLUENCE.2016.7508195

D. Pawade, Devansh J. Dave, A. Kamath

引用次数: 8

Human age estimation using AGES pattern 使用AGES模式估计人类年龄

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 1900-01-01 DOI: 10.1109/CONFLUENCE.2016.7508174

S. Rathore, Smriti Sehgal

引用次数: 0

Visually classified & tagged video repository 视觉分类和标记视频库

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 1900-01-01 DOI: 10.1109/CONFLUENCE.2016.7508165

Prashast Sahay, Rishi Kumar, Ijya Chugh, Ridhima Gupta

引用次数: 2

An analysis on LPC, RASTA and MFCC techniques in Automatic Speech recognition system 自动语音识别系统中LPC、RASTA和MFCC技术的分析

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 1900-01-01 DOI: 10.1109/CONFLUENCE.2016.7508170

Kartiki Gupta, Divya Gupta

引用次数: 51

Resource allocation system based on simulation modeling in computer-aided design system 计算机辅助设计系统中基于仿真建模的资源分配系统

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 1900-01-01 DOI: 10.1109/CONFLUENCE.2016.7508149

Y. Kravchenko, I. Kursitys, D. Zaporozhets

引用次数: 1

Sentiment analysis on E-commerce application by using opinion mining 基于意见挖掘的电子商务应用情感分析

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 1900-01-01 DOI: 10.1109/CONFLUENCE.2016.7508136

Nitu Kumari, Shailendra Narayan Singh

引用次数: 16

An improved & optimized layer assignment partitioning algorithm: For upcoming 3D VLSI shrinking technologies 一种改进和优化的层分配划分算法:用于即将到来的3D VLSI缩小技术

2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) Pub Date : 1900-01-01 DOI: 10.1109/CONFLUENCE.2016.7508158

Satyajitsinh Mohansinh Desai, Suhani Gambhir, Pavika Sharma

{"title":"An improved & optimized layer assignment partitioning algorithm: For upcoming 3D VLSI shrinking technologies","authors":"Satyajitsinh Mohansinh Desai, Suhani Gambhir, Pavika Sharma","doi":"10.1109/CONFLUENCE.2016.7508158","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508158","url":null,"abstract":"The advancement of technology has led to an exceptional demand for high speed VLSI architectures having huge structures and high complexity. System partitioning provides an easy approach to recursively split the whole system into small sub-systems called blocks. With the enormous increase of system complexity in the past and further advancement of microelectronic system design, partitioning has become a central and sometimes critical design task. With the shrinking technology, interconnect dominates the chip performance and to reduce the number of interconnections between blocks is the biggest challenge for a designer. The 3D technology seems to significantly aid the reduction of wire length and also dealing with the issues like delay, power dissipation and signal integrity etc. In this work, an improved solution for layer assignment problem has been proposed utilizing the concept of adjacency matrix of a graph. It optimizes and reduces the complexity of already existing algorithm based on the concept of adjacency matrix of a graph. The final results prove the efficiency of the proposed method over existing works.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"2 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":"129581818","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