Arc: an IR for batch and stream programming-Reference-Cited by-同舟云学术

Arc: an IR for batch and stream programming

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM SIGPLAN International Symposium on Database Programming Languages - DBPL 2019
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Author:

Kroll Lars¹,Segeljakt Klas¹,Carbone Paris²,Schulte Christian¹,Haridi Seif³

Affiliation:

1. KTH, Sweden

2. RISE SICS, Sweden

3. KTH, Sweden / RISE SICS, Sweden

Funder

Stiftelsen för Strategisk Forskning

Publisher

ACM Press

Reference22 articles.

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2. Tyler Akidau, Robert Bradshaw, Craig Chambers, Slava Chernyak, Rafael J Fernández-Moctezuma, Reuven Lax, Sam McVeety, Daniel Mills, Frances Perry, Eric Schmidt, et al. 2015. The dataflow model: a practical approach to balancing correctness, latency, and cost in massive-scale, unbounded, out-of-order data processing. Proceedings of the VLDB Endowment 8, 12 (2015), 1792–1803.

3. Arvind Arasu, Shivnath Babu, and Jennifer Widom. 2006. The CQL continuous query language: semantic foundations and query execution. VLDBJ (2006).

4. Arvind Arasu and Jennifer Widom. 2004. Resource sharing in continuous sliding-window aggregates. In VLDB.

5. Paris Carbone, Asterios Katsifodimos, Stephan Ewen, Volker Markl, Seif Haridi, and Kostas Tzoumas. 2015. Apache flink: Stream and batch processing in a single engine. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering 36, 4 (2015).

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