Pub Date : 2016-07-11DOI: 10.1109/CONFLUENCE.2016.7508191
T. Prakash, Misha Kakkar, Kritika Patel
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.
{"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}
Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508197
Sarita Gulia, T. Choudhury
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.
{"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}
Pub Date : 1900-01-01DOI: 10.1109/CONFLUENCE.2016.7508105
Gaganjot Kaur, Sugandhi Midha
Green Cloud, a packet simulator focuses on maximising the system throughput with saving energy on different servers. Job Scheduling is one of the major issues in Green Cloud Computing. Some researches have been done on the preemptive scheduling on the Clouds as well as Green Clouds but lot more have to be done on Preemptive part of Priority Scheduling of the Green Clouds. To produce maximum throughput of Green Clouds the work has to be done by prioritizing the jobs on every cloud. In this paper we have proposed a new Preemptive Priority Based Job Scheduling Algorithm in Green Cloud Computing (PPJSGC). Our paper focuses on the preemptive part as well as it calculates the energy consumption for scheduling the jobs on the computing servers. The computing servers are allocated to processes based on the best fit as per their energy requirements and server frequency availability. This job is being performed by the DVFS Controller in our algorithm. The load management, low energy consumption, and maximizing the revenue is the key motive of our study.
Green Cloud是一个数据包模拟器，专注于通过在不同服务器上节省能源来最大化系统吞吐量。作业调度是绿色云计算的主要问题之一。在云和绿云上的抢占调度已经做了一些研究，但在绿云优先级调度的抢占部分还需要做更多的研究。为了产生绿云的最大吞吐量，必须在每个云上对作业进行优先级排序。本文提出了一种绿色云计算中基于抢占优先级的作业调度算法(PPJSGC)。本文重点研究了抢占部分，并计算了在计算服务器上调度作业的能耗。计算服务器根据其能量需求和服务器频率可用性的最佳匹配分配给进程。这个任务是由我们算法中的DVFS控制器执行的。负荷管理、低能耗、收益最大化是我们研究的主要动机。
{"title":"A Preemptive Priority Based Job Scheduling Algorithm in Green Cloud Computing","authors":"Gaganjot Kaur, Sugandhi Midha","doi":"10.1109/CONFLUENCE.2016.7508105","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508105","url":null,"abstract":"Green Cloud, a packet simulator focuses on maximising the system throughput with saving energy on different servers. Job Scheduling is one of the major issues in Green Cloud Computing. Some researches have been done on the preemptive scheduling on the Clouds as well as Green Clouds but lot more have to be done on Preemptive part of Priority Scheduling of the Green Clouds. To produce maximum throughput of Green Clouds the work has to be done by prioritizing the jobs on every cloud. In this paper we have proposed a new Preemptive Priority Based Job Scheduling Algorithm in Green Cloud Computing (PPJSGC). Our paper focuses on the preemptive part as well as it calculates the energy consumption for scheduling the jobs on the computing servers. The computing servers are allocated to processes based on the best fit as per their energy requirements and server frequency availability. This job is being performed by the DVFS Controller in our algorithm. The load management, low energy consumption, and maximizing the revenue is the key motive of our study.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"119 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":"127256449","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.2016.7508195
D. Pawade, Devansh J. Dave, A. Kamath
Software metrics are developed and used by various software organizations for evaluating and assuring software code quality, operation and continuance. We differentiate software complexity metrics in accordance with the procedural and object oriented approach of programming languages. Software developers and maintainers need to read and understand source programs. The increase in size and complexity of software affects several quality attributes, especially understandability and maintability. In this paper we discuss various procedural and object oriented software metrics. We tried to calculate complexity of sample code by using different procedural metrics. The propose this simulation is to show that complexity for same code differs from metric to metric. The effectiveness of any metric is different for procedural and object oriented approach. So we proposed a hybrid approach to get accurate complexity value.
{"title":"Exploring software complexity metric from procedure oriented to object oriented","authors":"D. Pawade, Devansh J. Dave, A. Kamath","doi":"10.1109/CONFLUENCE.2016.7508195","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508195","url":null,"abstract":"Software metrics are developed and used by various software organizations for evaluating and assuring software code quality, operation and continuance. We differentiate software complexity metrics in accordance with the procedural and object oriented approach of programming languages. Software developers and maintainers need to read and understand source programs. The increase in size and complexity of software affects several quality attributes, especially understandability and maintability. In this paper we discuss various procedural and object oriented software metrics. We tried to calculate complexity of sample code by using different procedural metrics. The propose this simulation is to show that complexity for same code differs from metric to metric. The effectiveness of any metric is different for procedural and object oriented approach. So we proposed a hybrid approach to get accurate complexity value.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","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":"123440928","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.2016.7508174
S. Rathore, Smriti Sehgal
Age Simulation and Age Specific Human Computer Interaction (ASHCI) has a vital role in real life applications. Still automatic age estimation is a field which comprises of less research and is in developing state. The reason behind is that aging is an unique process which varies from person-to-person. The basic aim of this paper is to develop a user friendly system that estimates accurate age of an individual. In this paper age of an individual is estimated with the help of AGES pattern (Aging Pattern Subspace). The main aim is to generate aging pattern on which further enhancement is done applying PCA and computing minimum error rate. A good aging pattern can be generated with the help of proper projection in the subspace to get revised and appropriate face images. AGES has shown promising results when implemented and a very user friendly method.
{"title":"Human age estimation using AGES pattern","authors":"S. Rathore, Smriti Sehgal","doi":"10.1109/CONFLUENCE.2016.7508174","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508174","url":null,"abstract":"Age Simulation and Age Specific Human Computer Interaction (ASHCI) has a vital role in real life applications. Still automatic age estimation is a field which comprises of less research and is in developing state. The reason behind is that aging is an unique process which varies from person-to-person. The basic aim of this paper is to develop a user friendly system that estimates accurate age of an individual. In this paper age of an individual is estimated with the help of AGES pattern (Aging Pattern Subspace). The main aim is to generate aging pattern on which further enhancement is done applying PCA and computing minimum error rate. A good aging pattern can be generated with the help of proper projection in the subspace to get revised and appropriate face images. AGES has shown promising results when implemented and a very user friendly method.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"66 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":"123746415","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}
The exponential growth of Digital media has made large number of videos available to us on social video sharing platforms. These videos are generally loosely tagged by users making video indexing and retrieval methods inefficient. A pressing problem has cropped up of categorizing theses videos. In this paper we present/propose an innovative method for classifying and tagging videos. This study initially deals with face recognition in videos and then automation of tagging them. This novel content based automatic tagging algorithm will dramatically reduce human effort and increase video searching efficiency.
{"title":"Visually classified & tagged video repository","authors":"Prashast Sahay, Rishi Kumar, Ijya Chugh, Ridhima Gupta","doi":"10.1109/CONFLUENCE.2016.7508165","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508165","url":null,"abstract":"The exponential growth of Digital media has made large number of videos available to us on social video sharing platforms. These videos are generally loosely tagged by users making video indexing and retrieval methods inefficient. A pressing problem has cropped up of categorizing theses videos. In this paper we present/propose an innovative method for classifying and tagging videos. This study initially deals with face recognition in videos and then automation of tagging them. This novel content based automatic tagging algorithm will dramatically reduce human effort and increase video searching efficiency.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"13 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":"125552821","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.2016.7508170
Kartiki Gupta, Divya Gupta
Speech is an ancient field of study and research is being done on it till date. Automatic Speech recognition system deals with analysis and recognition of the input speech signal by the machine or computer in various environments. To enhance the accuracy and capability of the system various feature extraction techniques are implemented. This research paper provides a brief overview of Speech recognition system and its various phases like analysis, feature extraction, modeling and testing or matching. In addition it also includes detailed and comparative study on Linear Predictive Coding (LPC), Relative Spectral Filtering (RASTA) and Mel-Frequency Cepstral Coefficient (MFCC) feature extraction techniques used in Automatic Speech Recognition systems. The main objective of this research paper is to briefly summarize speech recognition system and three feature extraction methods that are an integral part of ASR.
{"title":"An analysis on LPC, RASTA and MFCC techniques in Automatic Speech recognition system","authors":"Kartiki Gupta, Divya Gupta","doi":"10.1109/CONFLUENCE.2016.7508170","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508170","url":null,"abstract":"Speech is an ancient field of study and research is being done on it till date. Automatic Speech recognition system deals with analysis and recognition of the input speech signal by the machine or computer in various environments. To enhance the accuracy and capability of the system various feature extraction techniques are implemented. This research paper provides a brief overview of Speech recognition system and its various phases like analysis, feature extraction, modeling and testing or matching. In addition it also includes detailed and comparative study on Linear Predictive Coding (LPC), Relative Spectral Filtering (RASTA) and Mel-Frequency Cepstral Coefficient (MFCC) feature extraction techniques used in Automatic Speech Recognition systems. The main objective of this research paper is to briefly summarize speech recognition system and three feature extraction methods that are an integral part of ASR.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"45 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":"114446600","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.2016.7508149
Y. Kravchenko, I. Kursitys, D. Zaporozhets
This article deals with one of the most important computer-aided design (CAD) problem - that is a resource allocation problem. The efficiency of CAD system in many ways depends on optimality of resource allocation. So, we researched and analyzed this problem and formulated its mathematic model. To allocate resources in CAD systems we used a simulation modeling and Petri net model. The information model is based on IDEF0 that shows information processes in the system. This paper presents a software which allows to carry out a set of experiments on benchmarks. Experiments show the efficiency of developed approach.
{"title":"Resource allocation system based on simulation modeling in computer-aided design system","authors":"Y. Kravchenko, I. Kursitys, D. Zaporozhets","doi":"10.1109/CONFLUENCE.2016.7508149","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508149","url":null,"abstract":"This article deals with one of the most important computer-aided design (CAD) problem - that is a resource allocation problem. The efficiency of CAD system in many ways depends on optimality of resource allocation. So, we researched and analyzed this problem and formulated its mathematic model. To allocate resources in CAD systems we used a simulation modeling and Petri net model. The information model is based on IDEF0 that shows information processes in the system. This paper presents a software which allows to carry out a set of experiments on benchmarks. Experiments show the efficiency of developed approach.","PeriodicalId":299044,"journal":{"name":"2016 6th International Conference - Cloud System and Big Data Engineering (Confluence)","volume":"48 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":"122087685","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.2016.7508136
Nitu Kumari, Shailendra Narayan Singh
Social media is becoming a major and popular technological platform that allows users to express personal opinions toward the subjects with shared interests, opinion are good for decision making to People would want to know others' opinion before taking a decision, while corporate would like to monitor pulse of people in a social media about their products and services and take appropriate actions. This paper reviewed about world are realizing that e-commerce is not just buying and selling over Internet, rather it is improve the efficiency to compete with other giants in the market. Their opinions on specific topic are inevitably dependent on many social effects such as user preference on topics, peer influence, user profile information.
{"title":"Sentiment analysis on E-commerce application by using opinion mining","authors":"Nitu Kumari, Shailendra Narayan Singh","doi":"10.1109/CONFLUENCE.2016.7508136","DOIUrl":"https://doi.org/10.1109/CONFLUENCE.2016.7508136","url":null,"abstract":"Social media is becoming a major and popular technological platform that allows users to express personal opinions toward the subjects with shared interests, opinion are good for decision making to People would want to know others' opinion before taking a decision, while corporate would like to monitor pulse of people in a social media about their products and services and take appropriate actions. This paper reviewed about world are realizing that e-commerce is not just buying and selling over Internet, rather it is improve the efficiency to compete with other giants in the market. Their opinions on specific topic are inevitably dependent on many social effects such as user preference on topics, peer influence, user profile information.","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":"129629120","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}
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.
{"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}
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