Microservices in Big Data Analytics

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.

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.