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Musketeer – Part I : What’s the best data processing system?
Musketeer: all for one, one for all in data processing systems – Gog et al. 2015 For between 40-80% of the jobs submitted to MapReduce systems, you’d be better off just running them on a single...
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Wormhole: Reliable pub-sub to support Geo-Replicated Internet Services
Wormhole: Reliable pub-sub to support Geo-Replicated Internet Services – Sharma et al. 2015 At Facebook, lots of applications are interested in data being written to Facebook’s data stores. Having each...
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TAO: Facebook’s Distributed Data Store for the Social Graph
TAO: Facebook’s Distributed Data Store for the Social Graph Bronson et al. (Facebook) 2013 A single Facebook page may aggregate and filter hundreds of items from the social graph. We present each user...
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Pregel: A System for Large-Scale Graph Processing
Pregel: A System for Large-Scale Graph Processing – Malewicz et al. (Google) 2010 “Many practical computing problems concern large graphs.” Yesterday we looked at some of the models for understanding...
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Twitter Heron: Stream Processing at Scale
Twitter Heron: Stream Processing at Scale – Kulkarni et al. 2015 It’s hard to imagine something more damaging to Apache Storm than this. Having read it through, I’m left with the impression that the...
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Heracles: Improving Resource Efficiency at Scale
Heracles: Improving Resource Efficiency at Scale – Lo et al. 2015 Until recently, scaling from Moore’s law provided higher compute per dollar with every server generation, allowing datacenters to scale...
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MillWheel: Fault-Tolerant Stream Processing at Internet Scale
MillWheel: Fault-Tolerant Stream Processing at Internet Scale – Akidau et al. (Google) 2013 Earlier this week we looked at the Google Cloud Dataflow model which is implemented on top of FlumeJava (for...
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GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized...
GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server – Cui et al. 2016 (EuroSys 2016) We know that deep learning is well suited to GPUs since it has inherent...
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Dependency-driven analytics: a compass for uncharted data oceans
Dependency-driven analytics: a compass for uncharted data oceans Mavlyutov et al. CIDR 2017 Like yesterday’s paper, today’s paper considers what to do when you simply have too much data to be able to...
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Omid reloaded: scalable and highly-available transaction processing
Omid, reloaded: scalable and highly-available transaction processing Shacham et al., FAST ’17 Omid is a transaction processing service powering web-scale production systems at Yahoo that digest...
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