A catalog of stream processing optimizations

By Martin Hirzel, Robert Soulé, Scott Schneider, Bugra Gedik, Robert Grimm. ACM Computing Surveys, 2014

379 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/42490a37f9e284ba4d368cf5a41f2ea6c26b0ee1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Marcos Dias de Assunção
2. Rajkumar Buyya
3. Alexandre Aa Silva Veith
4. Blesson Varghese
5. Cheol-Ho Hong
6. Rodrigo Neves Calheiros
7. Anton Beloglazov
8. Jia Yu

In Information Systems

1. Rajkumar Buyya
2. Marcos Dias de Assunção
3. Blesson Varghese
4. Rodrigo Neves Calheiros
5. Anton Beloglazov
6. Cheol-Ho Hong
7. R. Ranjan
8. Yonggang Wen

Citations in the corpus

• Prescriptive analytics: Literature review and research challenges (2020, positive): “Various research communities have independently arrived at stream processing as a programming model for efficient and parallel computing (Hirzel, Soulé, Schneider, Gedik, & Grimm, 2014).”
• Distributed data stream processing and edge computing: A survey on resource elasticity and future directions (2017, background): “allelism and operator placement, optimise data transfers, among other goals [80].”