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ACSOS 2020
Mon 17 - Fri 21 August 2020
Mon 17 Aug 2020 21:30 - 21:55 at ACSOS In Practice Meeting Room - Session 2 Chair(s): K R Jayaram, Christopher Stewart

Previous work in distributed execution engines has focused on reducing query execution time and resource utilization by providing solutions like adaptive data partitioning, data skipping, or caching intermediate data, in isolation. Although these have been majorly studied as different types of solutions, all of them try to exploit the same trade-off: rely on additional/existing storage space to reduce storage I/O and computational overhead.

In this talk, we propose a prototype architecture which unifies all three solutions into one simple framework, and discuss the potential benefits from this architecture.

Theodoros Gkountouvas is currently working for Futurewei Technologies as a Senior Software Engineer at Boston Intelligent Computing and Data Lab. He holds a Bachelor degree in Electrical and Computing Engineering from National Technical University of Athens and M.Sc. degree in Computer Science from Cornell University. His work focuses on designing and implementing solutions to enable and accelerate data analysis.

Mon 17 Aug

Displayed time zone: London change

20:00 - 22:00
Session 2ACSOS In Practice at ACSOS In Practice Meeting Room
Chair(s): K R Jayaram IBM Research, USA, Christopher Stewart The Ohio State University, USA
Industry talk
Challenges in Moving from Datasets to Live Data for Visual Machine Learning
ACSOS In Practice
I: Vishakha Gupta-Cledat ApertureData
Industry talk
Leveraging Data Mesh to Optimize Hybrid Cloud for Adaptive AI Control in Industrial Systems
ACSOS In Practice
Anthony Hill Adapdix Corporation
Industry talk
Using a Unified Approach to Reduce Storage I/O for Big Data Workloads
ACSOS In Practice
I: Theo Gkountouvas Futurewei Technologies