A workload characterization study of the 1998 World Cup Web site
By Martin F. Arlitt, Tai Jin. IEEE Network, 2000
800 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/c8084868dc2f74ee5902ac5dff545ff9b49f4d7f
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
- Rajkumar Buyya
- Rodrigo Neves Calheiros
- R. Ranjan
- Anton Beloglazov
- Blesson Varghese
- Cheol-Ho Hong
- Jia Yu
- Ewa Deelman
In Information Systems
- Rajkumar Buyya
- Rodrigo Neves Calheiros
- R. Ranjan
- Anton Beloglazov
- Blesson Varghese
- Nikolay Grozev
- Ewa Deelman
- Cheol-Ho Hong
Citations in the corpus
- Characterizing, Modeling, and Benchmarking RocksDB Key-Value Workloads at Facebook (2020, neutral): “The workloads of the web server caches were also traced and analyzed [2, 3, 43, 46].”
- Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS (2015, background): “for the implementation of our module because the underlying workload fits well in the model: previous research observed that web workloads tend to present strong autocorrelation [17], [18].”