The International Workshop on Distributed Cloud Computing (DCC) addresses aspects of distributed systems and algorithms, as well as networking and cloud computing. DCC 2021 is co-located with SIGMETRICS 2021.
The “special” topic of DCC 2021 is decentralization in the context of cloud computing. The workshop hosts invited talks from experts on various aspects of decentralization, from both industry and academia. A special focus this year is on promoting excellent work from soon-to-be-graduating students in the area.
Schedule and Talk Details
Workshop date: June 14th 2021
Location: Virtual (on Zoom)
- Introductory remarks
- Speaker: Tim Harris, Microsoft
Title: Hey, you got your distributed algorithm in my ML!
Time: 9:05am EST
- Speaker: Maria Apostolaki, ETH Zurich
Title: Building Secure Distributed Systems atop the Insecure Internet
Time: 9:50am EST
- Speaker: Gauri Joshi, Carnegie Mellon University
Title: Communication-Efficient Optimization Methods for Federated Learning
Time: 10:35am EST
- Speaker: Thaleia Doudali, Georgia Tech
Title: Adding Machine Learning to the Management of Heterogeneous Resources
Time: 11:20am EST
- Speaker: Kostantinos Karanasos, Microsoft
Title: Scheduling and Tuning an Exabyte-scale Data Infrastructure at Microsoft
Time: 12:05pm EST
- Workshop Closing
Time: 12:50pm EST
How to Participate
Similarly to DCC 2020, our format this year will be entirely virtual.
To attend, please do the following:
- Register here: https://www.sigmetrics.org/sigmetrics2021/registration.html
- You will then receive a Zoom link which you can use for attending
Following the workshop, all talks will be publicly available on the DCC Youtube channel.
- DCC 2020 (co-located with ACM SIGMETRICS)
- DCC 2019 (co-located with DISC)
- DCC 2017 (co-located with IEEE INFOCOM)
- DCC 2016 (co-located with ACM PODC)
- DCC 2015 (co-located with ACM SIGMETRICS)
- DCC 2014 (co-located with ACM SIGCOMM)
- DCC 2013 (co-located with IEEE/ACM UCC)
The workshop is supported by the ACM, IST Austria, and the European Research Council (ERC Starting Grant ScaleML)