Michael Sevilla

According to our database1, Michael Sevilla authored at least 12 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Scalable, Global Namespaces with Programmable Storage.
PhD thesis, 2018

<i>quiho</i>: Automated Performance Regression Testing Using Inferred Resource Utilization Profiles.
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

Cudele: An API and Framework for Programmable Consistency and Durability in a Global Namespace.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Tintenfisch: File System Namespace Schemas and Generators.
Proceedings of the 10th USENIX Workshop on Hot Topics in Storage and File Systems, 2018

Programmable Caches with a Data Management Language and Policy Engine.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017
The Popper Convention: Making Reproducible Systems Evaluation Practical.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

DeclStore: Layering Is for the Faint of Heart.
Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems, 2017

Malacology: A Programmable Storage System.
Proceedings of the Twelfth European Conference on Computer Systems, 2017

2016
Standing on the Shoulders of Giants by Managing Scientific Experiments Like Software.
login Usenix Mag., 2016

2015
Mantle: a programmable metadata load balancer for the ceph file system.
Proceedings of the International Conference for High Performance Computing, 2015

2014
SupMR: Circumventing Disk and Memory Bandwidth Bottlenecks for Scale-up MapReduce.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

2013
A framework for an in-depth comparison of scale-up and scale-out.
Proceedings of the 2013 International Workshop on Data-Intensive Scalable Computing Systems, 2013


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