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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

Keynotes:

    Author: Ke Yi, Hong Kong University of Science and Technology, China
        Title: The relationships among coarse-grained parallel models

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


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