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Boosting scalable data analytics with modern programmable networks

Marcel Blöcher; Tobias Ziegler; Carsten Binnig; Patrick Eugster
In: Wolfgang Lehner; Kenneth Salem (Hrsg.). Proceedings of the 14th International Workshop on Data Management on New Hardware. International Workshop on Data Management on New Hardware (DaMoN-2018), June 11, Houston, TX, USA, Pages 1:1-1:3, ACM, 2018.


Data center networks lie at the core of distributed data analytics frameworks running in large scale environments. Recent research seek to improve the system performance by optimizing the end-host network usage, e.g., optimally use RDMA [2] or zero copy I/O frameworks [5] for distributed data analytics frameworks. Such approaches allow these systems to leverage the high network-bandwidth at end-hosts, however, keep the network itself untouched which does not solve contention and scalability issues.

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