On the Performance Variability of Production Cloud Services

By Alexandru Iosup, Nezih Yigitbasi, Dick H. J. Epema. 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2011

375 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/1114e0d77761b0566983e4e93aa10919cd5faff6

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. Thomas Karagiannis
2. Mark Staples
3. Ingo M. Weber
4. Antony Ian Taylor Rowstron
5. Hitesh Ballani
6. Xiwei Xu
7. Ion Stoica
8. Peter Druschel

In Information Systems

1. Ingo M. Weber
2. Thomas Karagiannis
3. Antony Ian Taylor Rowstron
4. Hitesh Ballani
5. Xiwei Xu
6. Ion Stoica
7. Mosharaf Chowdhury

Citations in the corpus

• Performance Isolation and Fairness for Multi-Tenant Cloud Storage (2012, neutral): “, in response time or throughput, even when they can achieve their desired mean rate [8, 16, 33, 35].”
• Architecture for Blockchain Applications (2019, background): “The performance variation on AWS EC2 has been investigated in the research literature (Iosup et al. 2011; Schad et al. 2010).”
• Towards predictable datacenter networks (2011, background): “Categories and Subject Descriptors: C.2.3 [ComputerCommunication Networks]: Network Operations General Terms: Algorithms, Design, Performance Keywords: Datacenter, Allocation, Virtual Network, Bandwidth”
• SMICloud: A Framework for Comparing and Ranking Cloud Services (2011, neutral): “The QoS data is collected from various evaluation studies for three IaaS Cloud providers: Amazon EC2, Windows Azure, and Rackspace [9][10][11].”