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"Towards Latency Guarantees in Datacenters"
In the era of Big Data, datacenter and cloud architectures decouple
compute and storage
resources from each other for better scalability. While this design
choice enables elastic scale-out, it also causes unnecessary data
movements. One solution is to push parts of the computation down to
storage where data can be filtered more efficiently. Systems that do
this are already in use and rely either on regular server machines as
storage nodes or on network attached storage devices. Even though the
former provide complex computation and rich functionality since there
are plenty of conventional cores available to run the offloaded
computation, this solution is quite inefficient because of the
over-provisioning of computing capacity and the bandwidth mismatches
between storage, CPU, and network. Networked storage devices, on the
other hand, are better balanced in terms of bandwidth but at the price
of offering very limited options for offloading data processing.
With Caribou, we explore an alternative design that offers rich offloading functionality while matching the available line-rate processing performance of either storage or network. It also does this in a much more efficient package (size, energy consumption) than regular servers. Our FPGA-based prototype system has been designed such that the internal data management logic can saturate the network for most operation mixes, without being over-provisioned. As a result, it can extract and process data from storage at multi-GB/s rate before sending it to the computing nodes, while at the same time offering features such as replication for fault-tolerance.
Caribou has been released as open source. Its modular design and extensible processing pipeline make it a convenient platform for exploring domain-specific processing inside storage nodes.
Bio: Zsolt Istvan is a recent PhD graduate of the Systems Group at ETH Zurich. His research looks at using FPGAs in the context of databases and distributed systems, with the goal of building hybrid solutions and specialized accelerators for data intensive tasks. Before graduate school he was a Master's student at ETH Zurich, Switzerland, and a Bachelor's student at the Technical University of Cluj-Napoca, Romania.
|Time:||Friday , 08.02.2018, 10:30 a.m.|
|Place:||MPI-SWS Saarbrücken, room 029|
|Video:||Simultaneous video cast MPI-SWS Kaiserslautern Paul Ehrlich Str. 26, room 111|