VLDB 2023: Industry Challenge

Cloud computing has revolutionized the way we approach computing. The database community has made significant contributions to the development of "Cloud Native" data services that take advantage of the unique capabilities of infrastructure clouds, including elastic resource allocation, database system optimization, and hardware and software co-optimization. Additionally, the deployment of Large Language Models has introduced new features to database services, such as Natural Language to SQL (NL2SQL), which enables easier access to databases for everyone.

To address the technical challenges that come with this industry trend, our workshop will be organized in a round-table format. Each session will begin with a presentation of research problems in industry practice, followed by an open discussion on possible directions to tackle them. Our workshop aims to create a platform for researchers and practitioners to exchange ideas and work in progress, without requiring paper submission or a full presentation. The goal is to define research scope together and guide the research community in effectively addressing these emerging challenges.

Organizers

Jiannan Wang, Simon Fraser University
Tianzheng Wang, Simon Fraser University
Kai Zeng, Huawei

Agenda

Date	Time	Session	Topics	Time
Sep 1st	10:00-12:00	Opening Remarks
		Cloud Native Hardware &Software Co-Optimization	Universal Hardware Accelerated Relational Execution Engines	10mins
			Round Table Discussion	30mins
			Accelerator Engine Extensions for Cloud CPUs	10mins
			Round Table Discussion	30mins
			Data Movement Minimization in Compute and Storage Disaggregated Architecture through Near-Data Processing (NDP) in Cloud Storage	10mins
			Round Table Discussion	30mins
	12:00 -13:30	Lunch Break		90mins
	13:30-15:30	Multi-tenant Cloud Data Services Systems	Multi-Tenant Database Systems in Disaggregated Architecture	10mins
			Round Table Discussion	30mins
			Multi-tenant Computing Acceleration in consistent memory access CPU-GPU architecture (e.g., Grace-Hopper)	10mins
			Round Table Discussion	30mins
		Optimization & AI	Declarative Pipeline Optimization	10mins
		Optimization & AI	Round Table Discussion	30mins
	15:30-16:00	Coffee Break		30mins
	16:00-17:20	Optimization & AI	Natural Language to SQL (NL2SQL)	10mins
			Round Table Discussion	30mins
			SQL Rewrite	10mins
			Round Table Discussion	30mins