Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508141
O. Kolesnichenko, Gennady Smorodin, V. Dashonok, O. Zhurenkov, L. Mazelis, D. Yakovleva
In this study EMC Academic Alliance for the first time has applied the new approach to organize the Big Data Analytics study. The Multicenter Study "Third Wave" was presented at the EMC Academic Forum Russia & CIS 2015, at the International Scientific Congress "Globalistics-2015" and at the Russia National Supercomputing Forum 2015. Was implemented the variant of morphological analysis of Text Big Data from the Internet. The Study "Third Wave" is provided by Bill Schmarzo's 6 Steps Approach. Countries are set into positive or negative image's groups, and also into two groups with indication to technological order. The study can be developed to elaborate a new index for countries' rating. Big Data Analytics Study "Third Wave" relates to the new sphere for investigation - determination of Global management metrics.
{"title":"Big Data Analytics study «Third Wave»","authors":"O. Kolesnichenko, Gennady Smorodin, V. Dashonok, O. Zhurenkov, L. Mazelis, D. Yakovleva","doi":"10.1109/CONFLUENCE.2016.7508141","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508141","url":null,"abstract":"In this study EMC Academic Alliance for the first time has applied the new approach to organize the Big Data Analytics study. The Multicenter Study \"Third Wave\" was presented at the EMC Academic Forum Russia & CIS 2015, at the International Scientific Congress \"Globalistics-2015\" and at the Russia National Supercomputing Forum 2015. Was implemented the variant of morphological analysis of Text Big Data from the Internet. The Study \"Third Wave\" is provided by Bill Schmarzo's 6 Steps Approach. Countries are set into positive or negative image's groups, and also into two groups with indication to technological order. The study can be developed to elaborate a new index for countries' rating. Big Data Analytics Study \"Third Wave\" relates to the new sphere for investigation - determination of Global management metrics.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"149 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":"122854010","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}
Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508117
Ritu Chauhan, Rajesh Jangade
The big data technologies are offering varied challenges for research and scientists in healthcare application domain to improve the quality of life in patients. Yet in this phase of technology explosion, retrieving effective and efficient information from big data is a value care for future medical diagnostic. However. unprecedented growth in data analytical technology has proven fruitful for discovery of hidden patterns from such databases. The purpose of this study is to discuss current developments in big data analytics with healthcare application domain. However, paper explains the emerging role of predictive data analytics with focused study on patient's quality care with several states of examples. Further, comprehensive suggestive novel framework is discussed with the approach to offer significant benefits to computing technology for effective patient care diagnosis.
{"title":"A robust model for big healthcare data analytics","authors":"Ritu Chauhan, Rajesh Jangade","doi":"10.1109/CONFLUENCE.2016.7508117","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508117","url":null,"abstract":"The big data technologies are offering varied challenges for research and scientists in healthcare application domain to improve the quality of life in patients. Yet in this phase of technology explosion, retrieving effective and efficient information from big data is a value care for future medical diagnostic. However. unprecedented growth in data analytical technology has proven fruitful for discovery of hidden patterns from such databases. The purpose of this study is to discuss current developments in big data analytics with healthcare application domain. However, paper explains the emerging role of predictive data analytics with focused study on patient's quality care with several states of examples. Further, comprehensive suggestive novel framework is discussed with the approach to offer significant benefits to computing technology for effective patient care diagnosis.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"179 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":"122925880","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}
Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508094
Umang Garg, Abhishek Singhal
Testability and its significance have been discussed in the past decade. Software testability insinuates to the ease of the code revealing its faults during testing. This paper proposes to take into account the developer and the development process in the software testability predictions along with other factors. Software testability plays an important role in identifying the acceptable risk and feasibility. Hence, testability analysis is very important today, which requires identifying all the possible factors and phases of software lifecycle that affect testability. This paper introduces 5 new factors, which affect testability of object oriented software and all of them take developer and development process into account. This paper also explains how these factors affect testability.
{"title":"An estimation of software testability using fuzzy logic","authors":"Umang Garg, Abhishek Singhal","doi":"10.1109/CONFLUENCE.2016.7508094","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508094","url":null,"abstract":"Testability and its significance have been discussed in the past decade. Software testability insinuates to the ease of the code revealing its faults during testing. This paper proposes to take into account the developer and the development process in the software testability predictions along with other factors. Software testability plays an important role in identifying the acceptable risk and feasibility. Hence, testability analysis is very important today, which requires identifying all the possible factors and phases of software lifecycle that affect testability. This paper introduces 5 new factors, which affect testability of object oriented software and all of them take developer and development process into account. This paper also explains how these factors affect testability.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"105 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":"124061087","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}
Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508045
Hari Mohan Pandey
This paper present an implementation of a prototype to solve lecture time tabling problem. The author has employed the GA, a powerful global optimization algorithm, has capability to explore the search space adequately. Though, the presented prototype is in the initial stage, the author has presented a small piece of result and analysis demonstrates the working of the system.
{"title":"Solving lecture time tabling problem using GA","authors":"Hari Mohan Pandey","doi":"10.1109/CONFLUENCE.2016.7508045","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508045","url":null,"abstract":"This paper present an implementation of a prototype to solve lecture time tabling problem. The author has employed the GA, a powerful global optimization algorithm, has capability to explore the search space adequately. Though, the presented prototype is in the initial stage, the author has presented a small piece of result and analysis demonstrates the working of the system.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"28 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":"128140399","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}
Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508215
Hari Mohan Pandey
This paper presents a comprehensive discussion of the Jaya algorithm, a novel approach for the optimization. There exist two broad categories of heuristic algorithms are: evolutionary algorithms and swarm intelligence. These algorithms' performance vastly depends on the parameters used need extensive tuning during the computational experiments to achieve the superior performance. The Jaya algorithm is a new optimization algorithm has been proposed recently is parameter less and therefore parameters tuning is not needed for it. The primary aim of this paper is to discuss the Jaya algorithm based on the rational aspects outlined as: (a) what is Jaya algorithm; (b) How it works and (c) why one should use it. The author believes that this discussion might be useful to explore the potential of the Jaya to the general audience working for the optimization.
{"title":"Jaya a novel optimization algorithm: What, how and why?","authors":"Hari Mohan Pandey","doi":"10.1109/CONFLUENCE.2016.7508215","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508215","url":null,"abstract":"This paper presents a comprehensive discussion of the Jaya algorithm, a novel approach for the optimization. There exist two broad categories of heuristic algorithms are: evolutionary algorithms and swarm intelligence. These algorithms' performance vastly depends on the parameters used need extensive tuning during the computational experiments to achieve the superior performance. The Jaya algorithm is a new optimization algorithm has been proposed recently is parameter less and therefore parameters tuning is not needed for it. The primary aim of this paper is to discuss the Jaya algorithm based on the rational aspects outlined as: (a) what is Jaya algorithm; (b) How it works and (c) why one should use it. The author believes that this discussion might be useful to explore the potential of the Jaya to the general audience working for the optimization.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"38 1 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":"126929663","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}
Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508102
Anup Singh Kushwaha, Bashir Alam, Gaganjot Kaur
Green cloud is a highly developed packet-level simulator used to compute energy focusing on the energies consumed by various data centers including servers, network switches. Green cloud simulators are helpful in generating solutions for arranging loads for different number of machines, maintaining and safeguarding the resources, developing the rules required for delivery and also gaining results for network switches. The paper presents the comparison of proper use of overall energy along with depicting graph for total energy along with energy of various resources. It shows the various impact of energy by increasing number of resources using green clouds.
Green cloud是一个高度发达的数据包级模拟器，用于计算各种数据中心(包括服务器、网络交换机)消耗的能量。绿色云模拟器有助于为不同数量的机器安排负载、维护和保护资源、制定交付所需的规则以及为网络交换机获得结果。本文给出了合理利用总能源的比较，并给出了总能源与各种资源能源的图解。它显示了能源的各种影响，通过增加使用绿色云的资源数量。
{"title":"Observation of energy efficiency in Green cloud simulator","authors":"Anup Singh Kushwaha, Bashir Alam, Gaganjot Kaur","doi":"10.1109/CONFLUENCE.2016.7508102","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508102","url":null,"abstract":"Green cloud is a highly developed packet-level simulator used to compute energy focusing on the energies consumed by various data centers including servers, network switches. Green cloud simulators are helpful in generating solutions for arranging loads for different number of machines, maintaining and safeguarding the resources, developing the rules required for delivery and also gaining results for network switches. The paper presents the comparison of proper use of overall energy along with depicting graph for total energy along with energy of various resources. It shows the various impact of energy by increasing number of resources using green clouds.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"33 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":"124305826","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}
Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508111
Akshita Bhandari, Ashutosh Gupta, Debasis Das
Cloud computing is a rising technology that is still unclear to many security issues. The most challenging issue today in cloud servers is to ensure data security and privacy of the users. The proposed schema presents HE-RSA or hybrid encryption RSA along with Advanced Encryption Standard or AES to ensure efficiency, consistency and trustworthiness in cloud servers. The goal of this paper is to use various cryptography concepts during communication along with its application in cloud computing and to enhance the security of ciphertext or encrypted data in cloud servers along with minimizing the consumption of time, cost and memory size during encryption and decryption.
{"title":"Secure algorithm for cloud computing and its applications","authors":"Akshita Bhandari, Ashutosh Gupta, Debasis Das","doi":"10.1109/CONFLUENCE.2016.7508111","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508111","url":null,"abstract":"Cloud computing is a rising technology that is still unclear to many security issues. The most challenging issue today in cloud servers is to ensure data security and privacy of the users. The proposed schema presents HE-RSA or hybrid encryption RSA along with Advanced Encryption Standard or AES to ensure efficiency, consistency and trustworthiness in cloud servers. The goal of this paper is to use various cryptography concepts during communication along with its application in cloud computing and to enhance the security of ciphertext or encrypted data in cloud servers along with minimizing the consumption of time, cost and memory size during encryption and decryption.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"57 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":"124660869","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}
Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508135
Arvinder Kaur, Vidhi Vig
Open source softwares (OSS) are a boon to research and development. Their free access and availability of thousands of projects pushes research into new dimensions. But are these repositories actually helpful in quality research? Heterogeneous and incomplete data, lack of integration between repositories, performance and usability issues and lack of documentation are few factors that affect the quality of research in Open Source. In this paper, we lay down the difficulties experienced while working on extraction and analysis of data from open source repositories for quality research.
{"title":"Challenges in data extraction from Open Source software repositories","authors":"Arvinder Kaur, Vidhi Vig","doi":"10.1109/CONFLUENCE.2016.7508135","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508135","url":null,"abstract":"Open source softwares (OSS) are a boon to research and development. Their free access and availability of thousands of projects pushes research into new dimensions. But are these repositories actually helpful in quality research? Heterogeneous and incomplete data, lack of integration between repositories, performance and usability issues and lack of documentation are few factors that affect the quality of research in Open Source. In this paper, we lay down the difficulties experienced while working on extraction and analysis of data from open source repositories for quality research.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"196 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":"116443110","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}
Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508099
I. S. Bereznyak, E. Chepin, A. A. Dyumin
In past few years, the cloud computing paradigm is gaining influence on robotics field very rapidly. As the mobile robotics can obtain huge benefits from cloud computing paradigm, many robotic laboratories around the world conduct researches in this area. As a result, new frameworks and tools are emerging. In our early works, we had developed the prototypes for some cloud robotics services. As well, we have our own scripting language for programming (and modeling) robotics behavior - Actions Language. The concepts used in this language are close enough to the cloud computing paradigm. In this paper, we give brief descriptions and state of researches for cloud robotics and special robotic languages. After that, we describe and investigate our approach for programming robotics behavior using cloud services.
{"title":"The actions language as a programming framework for cloud robotics applications","authors":"I. S. Bereznyak, E. Chepin, A. A. Dyumin","doi":"10.1109/CONFLUENCE.2016.7508099","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508099","url":null,"abstract":"In past few years, the cloud computing paradigm is gaining influence on robotics field very rapidly. As the mobile robotics can obtain huge benefits from cloud computing paradigm, many robotic laboratories around the world conduct researches in this area. As a result, new frameworks and tools are emerging. In our early works, we had developed the prototypes for some cloud robotics services. As well, we have our own scripting language for programming (and modeling) robotics behavior - Actions Language. The concepts used in this language are close enough to the cloud computing paradigm. In this paper, we give brief descriptions and state of researches for cloud robotics and special robotic languages. After that, we describe and investigate our approach for programming robotics behavior using cloud services.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"1 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":"129471567","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}
Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508217
Nidhi Sharma, Uday Panwar, Virendra Singh
Power consumption has become hurdle for recent IC design as technology scale down below 45nm. Aggressive nanoscaling of MOS transistor in process technology has advanced in chip density, but to achieve high performance and lower power consumption by continues scaling results in shorter channel effect and Lowering of Drain Induced Barrier Lowering (DIBL). To overcome from this situation double gate device like FinFET is used which has excellent control over the thin silicon fins with two electrically coupled gate, which mitigate shorter channel effect and exponentially reduces the leakage current. In this research paper we have utilize the property of FinFET technology in SRAM circuit design to lower power consumption. Proposed circuit shows maximum saving of dynamic power up to 76.57% in 4T, maximum leakage power saving up to 53.21% in 6T at 25°C and 45.13% at 110°C. All simulation is performed using HSPICE simulator by using Berkley Productive Technology model (BPTM) at 32nm.
{"title":"A novel technique of leakage power reduction in 9T SRAM design in FinFET technology","authors":"Nidhi Sharma, Uday Panwar, Virendra Singh","doi":"10.1109/CONFLUENCE.2016.7508217","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508217","url":null,"abstract":"Power consumption has become hurdle for recent IC design as technology scale down below 45nm. Aggressive nanoscaling of MOS transistor in process technology has advanced in chip density, but to achieve high performance and lower power consumption by continues scaling results in shorter channel effect and Lowering of Drain Induced Barrier Lowering (DIBL). To overcome from this situation double gate device like FinFET is used which has excellent control over the thin silicon fins with two electrically coupled gate, which mitigate shorter channel effect and exponentially reduces the leakage current. In this research paper we have utilize the property of FinFET technology in SRAM circuit design to lower power consumption. Proposed circuit shows maximum saving of dynamic power up to 76.57% in 4T, maximum leakage power saving up to 53.21% in 6T at 25°C and 45.13% at 110°C. All simulation is performed using HSPICE simulator by using Berkley Productive Technology model (BPTM) at 32nm.","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":"126967961","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}
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