The purpose of the industry program is to invite a number of industry experts in the important aspects of services to present and discuss their insight, best practices, practical issues, observations, and data analytics of real-world systems and applications, as well as the potential impact on the future services technologies and applications.
This year, the following three major aspects will be focused:
- Big Data and Cognitive Computing, which are related to the two affiliated conference/congress of the Congress: Cognitive Computing and Big Data.
- Cloud Computing and IoT, which are related to the three affiliated conferences of the Congress: Cloud Computing, IOT, and Edge Computing.
- Micro service architectures and related technologies, which are related to the two affiliated conferences: Services Computing, and Web Services.
To facilitate the Congress participants to gain useful information in the same areas, each of these major aspects will be covered by one session, which is scheduled following the keynote and/or plenary panel sessions in the same areas.
The following are the three sessions of the program:
Session 1: Big Data and Cognitive Computing
Tuesday, July 3, 4:40 – 6:10 p.m.
- Evolution of Big Data Messaging – A Look Back and the Path Forward
Kartik Paramasivam, Director of Engineering, LinkedIn
- Data Science and the Art of Producing Entertainment at Netflix
Ritwik Kumar, Director, Science & Analytics, Netflix
- AIOps: Experiences and Challenges
Anup Kalia, Jin Xiao, Maja Vukovic, Research Staff, IBM
Session 2: Cloud Computing and IoT – 1
Thursday, July 5, 2:00 – 3:30 p.m.
- Monitoring Services in the Internet of Things: An Optimization Approach
Aly Megahed, Research Staff, IBM
- LG: Next Generation Living Spaces powered by Big Data
Anupam Kaul, Head of Engineering – Product and Services Innovation Group, LG Electronics
Session 3: Cloud Computing and IoT - 2
Friday, July 6, 2:00 – 3:30 p.m.
- Modeling and Simulation of IoT and 5G Applications
Wael Guibene, Sr. Systems Engineer, Intel Corporation
- Microservices: How Loose is Loosely Coupled?
John Rofrano, Research Staff, IBM