Microservices in Big Data Analytics / Chaudhary, Anil ; Choudhary, Chothmal ; Gupta, Mukesh Kumar ; Lal, Chhagan ; Badal, Tapas  

Público ISBD Ningún comentario para este registro. Título : Microservices in Big Data Analytics : Second International, ICETCE 2019, Rajasthan, India, February 1st-2nd 2019, Revised Selected Papers Tipo de documento: documento electrónico Autores: Chaudhary, Anil, ; Choudhary, Chothmal, ; Gupta, Mukesh Kumar, ; Lal, Chhagan, ; Badal, Tapas, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2020 Número de páginas: XXIV, 188 p. 129 ilustraciones, 105 ilustraciones en color. ISBN/ISSN/DL: 978-981-1501289-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ingeniería Informática  Red de computadoras  Grandes datos  Ingeniería Informática y Redes Clasificación: 621.39 Ciencia de los computadores (Ingenieria de computadores) Resumen: Estas actas reúnen artículos de vanguardia que exploran los principios, técnicas y aplicaciones de los microservicios en Big Data Analytics. El ICETCE-2019 es la última entrega de una exitosa serie de conferencias anuales que comenzó en 2011. Desde entonces, cada año ha contribuido significativamente a la comunidad investigadora en forma de numerosos artículos de investigación de alta calidad. Este año, la conferencia se centró en el área de gran relevancia de los microservicios en Big Data Analytics. Nota de contenido: Adaptive VM Migration and Allocation Mechanism in Cloud Environment -- Educational Cloud Framework-A Literature Review on Finding Better Private Cloud Framework for Educational Hub -- Improved DYMO Based ACO for MANET Using Distance and Density of Nodes -- An Efficient ATM Surveillance Framework Using Optical Flow with CNN -- An Efficient Approach for Image Encryption using Zigzag, Arnold Transformation and Double Random Phase Encoding in Fractional Fourier Transform Domain -- Comparison of Execution Time of Mobile Application Using Equal Division and Profile Based algorithm in Mobile Cloud Computing -- Ontological Design of Information Retrieval Model for Real Estate Documents -- Parameter Optimization in Convolutional Neural Networks Using Gradient Descent -- Empirical Investigation of Usability Evaluation Methods for Mobile Applications Using Evidence Based Approach -- Prediction of Underwater Surface Target through SONAR: A Case Study of Machine Learning -- Big Data Machine Learning Framework for Drug Toxicity Prediction -- Implementation of Block Based Symmetric Algorithms for Real Image Encryption -- Human Emotion Recognition Using Body Expressive Feature -- Self-Energizing Wireless Sensor Network -- A Fuzzy Logic Based Control System for Detection and Mitigation of Black Hole Attack in Vehicular Ad-Hoc Network -- Cloud Computing Based Approach for Accessing Electronic Health Record for Healthcare Sector. Tipo de medio : Computadora Summary : These proceedings gather cutting-edge papers exploring the principles, techniques, and applications of Microservices in Big Data Analytics. The ICETCE-2019 is the latest installment in a successful series of annual conferences that began in 2011. Every year since, it has significantly contributed to the research community in the form of numerous high-quality research papers. This year, the conference's focus was on the highly relevant area of Microservices in Big Data Analytics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Microservices in Big Data Analytics : Second International, ICETCE 2019, Rajasthan, India, February 1st-2nd 2019, Revised Selected Papers [documento electrónico] / Chaudhary, Anil, ; Choudhary, Chothmal, ; Gupta, Mukesh Kumar, ; Lal, Chhagan, ; Badal, Tapas,  . -  1 ed.  . - Singapore [Malasia] : Springer, 2020 . - XXIV, 188 p. 129 ilustraciones, 105 ilustraciones en color. ISBN : 978-981-1501289-- Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Ingeniería Informática  Red de computadoras  Grandes datos  Ingeniería Informática y Redes Clasificación: 621.39 Ciencia de los computadores (Ingenieria de computadores) Resumen: Estas actas reúnen artículos de vanguardia que exploran los principios, técnicas y aplicaciones de los microservicios en Big Data Analytics. El ICETCE-2019 es la última entrega de una exitosa serie de conferencias anuales que comenzó en 2011. Desde entonces, cada año ha contribuido significativamente a la comunidad investigadora en forma de numerosos artículos de investigación de alta calidad. Este año, la conferencia se centró en el área de gran relevancia de los microservicios en Big Data Analytics. Nota de contenido: Adaptive VM Migration and Allocation Mechanism in Cloud Environment -- Educational Cloud Framework-A Literature Review on Finding Better Private Cloud Framework for Educational Hub -- Improved DYMO Based ACO for MANET Using Distance and Density of Nodes -- An Efficient ATM Surveillance Framework Using Optical Flow with CNN -- An Efficient Approach for Image Encryption using Zigzag, Arnold Transformation and Double Random Phase Encoding in Fractional Fourier Transform Domain -- Comparison of Execution Time of Mobile Application Using Equal Division and Profile Based algorithm in Mobile Cloud Computing -- Ontological Design of Information Retrieval Model for Real Estate Documents -- Parameter Optimization in Convolutional Neural Networks Using Gradient Descent -- Empirical Investigation of Usability Evaluation Methods for Mobile Applications Using Evidence Based Approach -- Prediction of Underwater Surface Target through SONAR: A Case Study of Machine Learning -- Big Data Machine Learning Framework for Drug Toxicity Prediction -- Implementation of Block Based Symmetric Algorithms for Real Image Encryption -- Human Emotion Recognition Using Body Expressive Feature -- Self-Energizing Wireless Sensor Network -- A Fuzzy Logic Based Control System for Detection and Mitigation of Black Hole Attack in Vehicular Ad-Hoc Network -- Cloud Computing Based Approach for Accessing Electronic Health Record for Healthcare Sector. Tipo de medio : Computadora Summary : These proceedings gather cutting-edge papers exploring the principles, techniques, and applications of Microservices in Big Data Analytics. The ICETCE-2019 is the latest installment in a successful series of annual conferences that began in 2011. Every year since, it has significantly contributed to the research community in the form of numerous high-quality research papers. This year, the conference's focus was on the highly relevant area of Microservices in Big Data Analytics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

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