ICETCE-2019 Paper Presentation Schedule.    |   ICETCE-2019 Agenda.


6 December, 2018

Extended Deadline for submission of the paper

There would not be any further extension.

20 December, 2018

Notification of Acceptance

We have started sending notification of acceptance. However, there are still some papers whose reviews are pending. We hope that all the notification would be sent out upto January 7, 2019.

10 January, 2018

Last Date of Submitting Camera Ready Copy

15 January, 2019

Conference Registration Deadline (Early Bird)

30 January, 2019

Conference Registration Deadline (with late fee)

01 - 02 February, 2019

Conference Dates

About Us

International Conference on Emerging Technologies in Computer Engineering: Microservices in Big Data Analytics


The ICETCE conference aims to showcase advanced technologies, techniques, innovations and equipments in Computer Engineering. It provides a platform for researchers, scholars, experts, technicians, government officials and industry personnel from all over the world to discuss and share their valuable ideas and expereinces.

This ICETCE-2019 is the next edition of the very successful annual series of the conferences being held since 2011. With each passing year it has contributed significantly to the research community in the shape of numerous quality research papers. This year the conference focuses on the very relevant area of Microservices in Big Data Analytics.

Know More


The International Conference on Emerging Technologies in Computer Engineering (ICETCE-2019) invites high-quality research papers that present innovating ideas, novel approaches, developments, technologies, best practices, tools and techniques, metrics and provide future directions to young researchers and practitioners in the field of computer engineering. The topics of interest include, but are not limited to, the following:

  1. Big Data Analytics and Machine Learning to Real Time Processing of Microservice Events
  2. Microservices-based Web and Cloud Applications
  3. Microservices Architecture for Visual Analytics
Know More