2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS)最新文献_第2页

Systematic Literature Review on Software Effort Estimation Using Machine Learning Approaches 使用机器学习方法进行软件工作量估算的系统文献综述

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) Pub Date : 2017-12-01 DOI: 10.1109/ICNGCIS.2017.33

P. Sharma, Jaiteg Singh

引用次数: 22

A Novel Approach to Clustering Algorithms and Their Comparative Performance Analysis on Different Data Set 一种新的聚类算法及其在不同数据集上的性能比较分析

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) Pub Date : 2017-12-01 DOI: 10.1109/ICNGCIS.2017.39

Manish Lamba, Sagarjit Dash, Atul Singh Jamwal

引用次数: 0

A Review on Job Scheduling for Hadoop Mapreduce Hadoop Mapreduce作业调度研究综述

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) Pub Date : 2017-12-01 DOI: 10.1109/ICNGCIS.2017.40

Khushboo Kalia, N. Gupta

引用次数: 3

Your Privacy is not so Private: Unveiling Android Apps Privacy Framework from the Dark 你的隐私不是那么隐私:从黑暗中揭开Android应用程序隐私框架

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) Pub Date : 2017-12-01 DOI: 10.1109/ICNGCIS.2017.25

Sumit Kumar, Ravi Shanker

引用次数: 1

Resolving Ambiguities in Named Entity Recognition Using Machine Learning 使用机器学习解决命名实体识别中的歧义

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) Pub Date : 2017-12-01 DOI: 10.1109/ICNGCIS.2017.24

Nitin Bhandari, Ritika Chowdri, Harmeet Singh, S. Qureshi

引用次数: 1

Next Generation Businesses to Embrace Big Data Analytics 下一代企业将拥抱大数据分析

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) Pub Date : 2017-12-01 DOI: 10.1109/ICNGCIS.2017.19

N. Vishvakarma, Rrk Sharma, .. Krittika

引用次数: 0

An Optimized Algorithm For Efficient Problem Solving In K-MEANS Clustering 一种有效求解K-MEANS聚类问题的优化算法

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) Pub Date : 2017-12-01 DOI: 10.1109/ICNGCIS.2017.13

S. Qureshi, Sunali Y Mehta, Chaahat Gupta

引用次数: 1

Virtualization in Cloud Computing: Developments and Trends 云计算中的虚拟化:发展和趋势

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) Pub Date : 2017-12-01 DOI: 10.1109/ICNGCIS.2017.10

I. Odun-Ayo, Olasupo O. Ajayi, Chinonso Okereke

{"title":"Virtualization in Cloud Computing: Developments and Trends","authors":"I. Odun-Ayo, Olasupo O. Ajayi, Chinonso Okereke","doi":"10.1109/ICNGCIS.2017.10","DOIUrl":"https://doi.org/10.1109/ICNGCIS.2017.10","url":null,"abstract":"Cloud computing is an interesting paradigm that is making computing and other related activities easy for consumers. The cloud infrastructure is not new, but it is working on new technology based on various services offered. The cloud provides application software online for users to conduct common activities like word processing. Cloud computing also enables consumers to leverage on cloud infrastructure by designing and deploying their application on the cloud. A unique feature of the cloud is the provision of scalable storage for data which are usually spread across several geographical locations. A core technology used on the cloud is virtualization. This allows virtual machines to be hosted on physical servers. This provides great benefits to users on the cloud. This paper presents the state of the art from some literature available on cloud virtualisation. The study was executed by means of review of some literature available on cloud virtualisation. The study was performed by means of review of some literature using reliable methods. This paper examines present trends in the area of cloud virtualisation and provides a guide for future research. In the present work, the objective is to answer the following question: what is the current trend and development in cloud virtualisation? Papers published in journals, conferences, white papers and those published in reputable magazines were analysed. The expected result at the end of this review is the identification of trends in cloud virtualisation. This will be of benefit to prospective cloud users and even cloud providers.","PeriodicalId":314733,"journal":{"name":"2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122832407","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: 9

A Classification Based Approach For Data Confidentiality in Cloud Environment 云环境下基于分类的数据保密方法

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) Pub Date : 2017-12-01 DOI: 10.1109/ICNGCIS.2017.36

Rasmeet Kour, Suparti Koul, Manpreet Kour

{"title":"A Classification Based Approach For Data Confidentiality in Cloud Environment","authors":"Rasmeet Kour, Suparti Koul, Manpreet Kour","doi":"10.1109/ICNGCIS.2017.36","DOIUrl":"https://doi.org/10.1109/ICNGCIS.2017.36","url":null,"abstract":"Data security in cloud computing is a hard and tiresome task that has not been completely achieved. Various techniques have been proposed for securing data in cloud. Data encryption is a widely used technique for securing the data in cloud. An accurate data security strategy in distributed computing can be decided by first understanding the security necessities of data followed by the selection of possible approach for securing the data. This will help in deciding which data needs to be secured and which not. This paper presents a data classification technique for data security in cloud environment. An improved bagging and boosting algorithm is employed for classifying the data into sensitive i.e. private and non sensitive i.e. public data. After the data is classified, blowfish algorithm is applied for securing the sensitive data and non sensitive data is sent to cloud without encryption, hence saving the overhead and time for securing the entire data. Moreover for upgrading a secure cloud system, the cloud is divided into segments thus dividing the data and storing it in different segments instead of storing the entire data on a single cloud. Thus this algorithm boosts the security on cloud system. Also the results show that improved bagging and boosting technique gives better results compared to K-NN classification algorithm thus reducing the classification time and enhancing the accuracy.","PeriodicalId":314733,"journal":{"name":"2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132710862","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

An Industrial Study on Developers' Prevalent Copy and Paste Activities 开发商普遍复制粘贴行为的产业研究

2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS) Pub Date : 2017-12-01 DOI: 10.1109/ICNGCIS.2017.16

Sarveshwar Bharti, Hardeep Singh

{"title":"An Industrial Study on Developers' Prevalent Copy and Paste Activities","authors":"Sarveshwar Bharti, Hardeep Singh","doi":"10.1109/ICNGCIS.2017.16","DOIUrl":"https://doi.org/10.1109/ICNGCIS.2017.16","url":null,"abstract":"Copy and then pasting code fragments is the most prevalent activity accomplished by the developers to reuse the available functionality. It has been empirically evidenced that this programming approach is one of the main reasons for code cloning in the software systems and thus needs to be managed. The literature mentions many tools that have been implemented to proactively manage clones while tracking this copy and paste activity inside IDEs. To have a better management tool, developer's behavior should be analyzed. To gather the knowledge about the programming practices, this paper presents results from an industrial survey conducted, involving professional developers, to understand the developer's copy and paste intentions. This work will shed a light on what programmers are doing while reusing code and why. This study reveals various reasons/intentions, extent, source etc. of the copy and paste activity done by the developer. This study reported the frequent use of this typical activity by the programmers so as not to reinvent the wheel and the negative impacts of this programming activity. And, finally, results suggest incorporating the functionality, inspired by the inference drawn from developers' behavior to the existing IDEs to manage the activities committed by the developer.","PeriodicalId":314733,"journal":{"name":"2017 International Conference on Next Generation Computing and Information Systems (ICNGCIS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122688852","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