Poly'18:

Polystores and other Systems for Heterogeneous Data

Co-located with VLDB 2018

Introduction:

Enterprises must deliver data management solutions for large, heterogeneous datasets often composed of disparate data with queries constructed from a variety of programming models. A “one size fits all” mentality just won’t work in these cases. Parallel database management systems (DBMSs) help with performance and federated DBMSs support heterogeneity, but no single engine can support these complex datasets for any but the simplest problems.

In response, new multi-DBMS systems such as Polystore systems have been proposed. These systems combine individual DBMSs, each suited to the needs of a portion of the dataset, into a single system. They are designed to support heterogeneous datasets but do so in a way that exposes the complete functionality and programming models of underlying DBMSs.

At IEEE Big Data’16, BigData’17 we organized workshops on Polystore systems. These successful workshops brought together experts from around the world working on novel advances in the field. Poly’18 will focus on growing a larger and more diverse research agenda around data system solutions for heterogeneous data.

Research topics:

  • New Computational Models for Big Data
  • Languages/Models for integrating disparate data such as graphs, arrays, relations
  • Query evaluation and optimization in polystore and other multi-DBMS systems
  • Efficient data movement and scheduling, failures and recovery for polystore analytics
  • High Performance/Parallel Computing Platforms for Big Data
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Privacy and Access control in Polystore and multi-DBMS systems
  • Complex Applications over heterogeneous data in Science, Engineering, Medicine, Healthcare, Finance, Business, Transportation, Retailing, Telecommunication, Government and Defense applications
  • Mathematics for Polystore and other multi-DBMS systems
  • Demonstrations of new tools and techniques for heterogeneous data

Important Dates - Updated

June 15, 2018: Due date for full workshop papers submission

June 30, 2018: Notification of paper acceptance to authors

July 10, 2018: Camera ready version of workshop papers

August 31, 2018: Workshop


Submission page

https://cmt3.research.microsoft.com/Poly2018/