Predicting the Performance of Virtual Machine Migration

By Sherif Akoush, R. Sohan, Andrew Colin Rice, Andrew William Moore, A. Hopper. 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, 2010

324 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/336c1e3936ce150907b50f624b060bdb43d5e11b

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. Xiaofei Liao
2. Rongxing Lu
3. Rolf Stadler
4. Zheng Yan
5. Hai Jin
6. Brendan Jennings
7. Shuo Chen
8. Mqhele E. Dlodlo

In Information Systems

1. Rongxing Lu
2. Rolf Stadler
3. Zheng Yan
4. Brendan Jennings
5. Kim-Kwang Raymond Choo

Citations in the corpus

• From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, methodology): “The requirements of high availability by end users motivates the design of the smart pre-copy live migration in Xen presented in this paper.”
• Resource Management in Clouds: Survey and Research Challenges (2015, background): “, [7, 52, 126, 164]), and many proposals for optimizing the process have been made (e.”
• Performance and energy modeling for live migration of virtual machines (2011, methodology): “Sherif et al. designed a simulator based on Xen’s migration al-gorithm to characterize the downtime and total migration time [7].”