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Seminar

Time: Every Monday 13:00

Autumn 2020

Date Topic Speaker Papers
2020-09-21 Resource Management Yuchen Cheng and Yalun Lin Hsu Large-scale cluster management at Google with Borg (Abhishek Verma, Luis Pedrosa, Madhukar R. Korupolu, David Oppenheimer, Eric Tune, and John Wilkes) [EuroSys '15]
Autopilot: workload autoscaling at Google (Krzysztof Rzadca, Pawel Findeisen, Jacek Swiderski, Przemyslaw Zych, Przemyslaw Broniek, Jarek Kusmierek, Pawel Nowak, Beata Strack, Piotr Witusowski, Steven Hand, and John Wilkes) [EuroSys '20]

Medea: scheduling of long running applications in shared production clusters (Panagiotis Garefalakis, Konstantinos Karanasos, Peter Pietzuch, Arun Suresh, and Sriram Rao) [EuroSys '18]
Neptune: Scheduling Suspendable Tasks for Unified Stream/Batch Applications (Panagiotis Garefalakis, Konstantinos Karanasos, and Peter Pietzuch) [SoCC '19]

Optional:
Borg, Omega, and Kubernetes: Lessons learned from three container-management systems over a decade (Brendan Burns, Brian Grant, David Oppenheimer, Eric Brewer, and John Wilkes)
2020-09-28 Serverless Yalun Lin Hsu and Yuchen Cheng Cloud Programming Simplified: A Berkeley View on Serverless Computing (Eric Jonas, Johann Schleier-Smith, Vikram Sreekanti, Chia-Che Tsai, Anurag Khandelwal, Qifan Pu, Vaishaal Shankar, Joao Carreira, Karl Krauth, Neeraja Yadwadkar, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica, and David A. Patterson)
SOCK: Rapid Task Provisioning with Serverless-Optimized Containers (Edward Oakes, Leon Yang, Dennis Zhou, and Kevin Houck, University of Wisconsin-Madison; Tyler Harter, Microsoft, GSL; Andrea C. Arpaci-Dusseau and Remzi H. Arpaci-Dusseau, University of Wisconsin-Madison) [USENIX ATC '18]

SAND: Towards High-Performance Serverless Computing (Istemi Ekin Akkus, Ruichuan Chen, Ivica Rimac, Manuel Stein, Klaus Satzke, Andre Beck, Paarijaat Aditya, and Volker Hilt, Nokia Bell Labs) [USENIX ATC '18]
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider (Mohammad Shahrad, Rodrigo Fonseca, Íñigo Goiri, Gohar Chaudhry, Paul Batum, Jason Cooke, Eduardo Laureano, Colby Tresness, Mark Russinovich, and Ricardo Bianchini, Microsoft Azure and Microsoft Research) [USENIX ATC '20]
2020-10-09 Batch Processing Hongyi Long, Zhiyuan Ma, and Zhenglin Xu Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing (Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, and Ion Stoica) [NSDI '12]

Riffle: optimized shuffle service for large-scale data analytics (Haoyu Zhang, Brian Cho, Ergin Seyfe, Avery Ching, and Michael J. Freedman) [EuroSys '18]

Magnet: push-based shuffle service for large-scale data processing (Min Shen, Ye Zhou, and Chandni Singh) [VLDB '20]
2020-10-12 Stream Processing Yalun Lin Hsu and Yuchen Cheng Discretized streams: fault-tolerant streaming computation at scale (Matei Zaharia, Tathagata Das, Haoyuan Li, Timothy Hunter, Scott Shenker, and Ion Stoica) [SOSP '13]

The dataflow model: a practical approach to balancing correctness, latency, and cost in massive-scale, unbounded, out-of-order data processing (Tyler Akidau, Robert Bradshaw, Craig Chambers, Slava Chernyak, Rafael J. Ferna ́ndez-Moctezuma, Reuven Lax, Sam McVeety, Daniel Mills, Frances Perry, Eric Schmidt, and Sam Whittle) [VLDB]
Apache Flink™: Stream and Batch Processing in a Single Engine (Paris Carbone, Asterios Katsifodimos, Stephan Ewen, Volker Markl, Seif Haridi, and Kostas Tzoumas)
Lightweight Asynchronous Snapshots for Distributed Dataflows (Paris Carbone, Gyula Fóra, Stephan Ewen, Seif Haridi, Kostas Tzoumas)

Drizzle: Fast and Adaptable Stream Processing at Scale (Shivaram Venkataraman, Aurojit Panda, Kay Ousterhout, Michael Armbrust, Ali Ghodsi, Michael J. Franklin, Benjamin Recht, and Ion Stoica) [SOSP '17]
Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark (Michael Armbrust, Tathagata Das, Joseph Torres, Burak Yavuz, Shixiong Zhu, Reynold Xin, Ali Ghodsi, Ion Stoica, and Matei Zaharia) [SIGMOD '18]

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