Algorithms and Systems for MapReduce and Beyond (BeyondMR) is a workshop for research at the frontier of large-scale computations, with topics ranging from algorithms, to computational models, to the systems themselves. BeyondMR will be held in conjunction with SIGMOD/PODS2017, in Chicago, IL, USA on Friday May 19, 2017.

The BeyondMR workshop aims to explore algorithms, computational models, architectures, languages and interfaces for systems that need large-scale parallelization and systems designed to support efficient parallelization and fault tolerance. These include specialized programming and data-management systems based on MapReduce and extensions, graph processing systems, data-intensive workflow and dataflow systems.

We invite submission on topics such as:
  • Frameworks for Large-Scale Analytical Processing
  • Algorithms for Large-Scale Data Processing
  • Cost Models and Optimization Techniques
  • Resource Management for Many-Task Computing


    Author: Ke Yi, Hong Kong University of Science and Technology, China
        Title: Sequential vs Parallel, Fine-grained vs Coarse-grained, Models and Algorithms

    Author: Matei Zaharia, Stanford University, USA
        Title: What's Changing in Big Data?

Proceedings are available and freely accessible for everyone for one year from the date of the workshop as part of the ACM OpenTOC.

The prior occurrences of BeyondMR were held in 2014 and 2015 together with EDBT/ICDT and in 2016 together with SIGMOD/PODS.