Microservices in Big Data Analytics : Second International, ICETCE 2019, Rajasthan, India, February 1st-2nd 2019, Revised Selected Papers / / edited by Anil Chaudhary, Chothmal Choudhary, Mukesh Kumar Gupta, Chhagan Lal, Tapas Badal

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (xxiv, 188 pages) : illustrations
• Disciplina: 005.7
• Soggetto topico: Computer engineering; Computer networks; Big data; Computer Engineering and Networks; Big Data
• Persona (resp. second.): ChaudharyAnil; ChoudharyChothmal; GuptaMukesh Kumar; LalChhagan; BadalTapas
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Microservices in Big Data Analytics
• ISBN: 981-15-0128-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910366660103321
• Lo trovi qui: Univ. Federico II