Serverless Computing: Design, Implementation, and Performance
By Garrett McGrath, P. Brenner. International Conference on Distributed Computing Systems Workshops, 2017
372 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/2b1759673f0f8da5e9477b127bab976f8d4d50fe
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
- Blesson Varghese
- Rajkumar Buyya
- Liang Wang
- Andrea C. Arpaci-Dusseau
- Remzi H. Arpaci-Dusseau
- Paarijaat Aditya
- Rodrigo Fonseca
- Thomas Ristenpart
In Information Systems
- Blesson Varghese
- Rajkumar Buyya
- Liang Wang
- Andrea C. Arpaci-Dusseau
- Remzi H. Arpaci-Dusseau
- Rodrigo Fonseca
- Thomas Ristenpart
- Ricardo Bianchini
Citations in the corpus
- Next generation cloud computing: New trends and research directions (2017, background): “control, cost and exibility are considered. In this novel approach, functions (modules) of the application will be executed when necessary without requiring the application to be running all the time [58, 59]. Sometimes this is also referred to as Functionas-a-Service or event-based programming [60]”
- Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider (2020, background): “Prior work [3, 15, 24, 25, 27, 44] has focused on either (1) running benchmark functions to assess performance and/or reverse-engineer how providers manage resources; or (2) implementing prototype systems to run benchmark functions.”
- SAND: Towards High-Performance Serverless Computing (2018, background): “[41] proposed a queuing scheme with workers announcing their availability in warm and cold queues, where containers can be reused and new containers can be created, respectively.”
- Peeking Behind the Curtains of Serverless Platforms (2018, background): “[34] conducted preliminary measurements on four serverless platforms, and found”
- SOCK: Rapid Task Provisioning with Serverless-Optimized Containers (2018, methodology): “Prior studies have ported various applications to the lambda model in order to evaluate platform performance [21, 33].”