Performance and energy modeling for live migration of virtual machines
By Haikun Liu, Chengzhong Xu, Hai Jin, Jiayu Gong, Xiaofei Liao. Cluster Computing, 2011
499 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/c68157f82bc7d6d794c660c96218d96fe1b5f916
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
- Abdullah Bin Gani
- Yonggang Wen
- Miyuru Dayarathna
- Rajkumar Buyya
- Ejaz Ahmed
- Saeid Abolfazli
- Zohreh Sanaei
- Anton Beloglazov
In Information Systems
- Yonggang Wen
- Miyuru Dayarathna
- Abdullah Bin Gani
- Rajkumar Buyya
- Saeid Abolfazli
- Zohreh Sanaei
- Ejaz Ahmed
- Anton Beloglazov
Citations in the corpus
- Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges (2013, methodology): “Therefore, efforts similar to VMware vMotion [181] and [122], [182] are necessary to optimize VM migration in MCC.”
- Data Center Energy Consumption Modeling: A Survey (2016, methodology): “Such predictions can then be used to improve the energy efficiency of the data center, for example by incorporating the model into techniques such as temperature or energy aware scheduling [18], dynamic voltage frequency scaling (DVFS) [19][20][21], resource virtualization [22], improving the algori”
- An Approach for Service Function Chain Routing and Virtual Function Network Instance Migration in Network Function Virtualization Architectures (2017, unknown): “Indeed when any migration happens, the Virtual Machine supporting the VNF instance is not able to carry on its function in a critical period T down referred to in the literature as downtime of the Virtual Machine [31].”