A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment

By Jinhua Hu, Jianhua Gu, Guofei Sun, Tianhai Zhao. International Symposium on Parallel Architectures, Algorithms and Programming, 2010

418 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems

View Paper: https://www.semanticscholar.org/paper/924d3b9576ae2e9f51dc3ca07e2c0eb5782938d9

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. Henry Shu-Hung Chung
2. Zhi-hui Zhan
3. Jun Zhang
4. Inderveer Chana
5. Xiao Fang Liu
6. Yue-jiao Gong
7. Nidhi Jain Kansal
8. Yun Li

In Hardware and Architecture

1. Jun Zhang
2. Inderveer Chana
3. Nidhi Jain Kansal

In Information Systems

1. Henry Shu-Hung Chung
2. Zhi-hui Zhan
3. Jun Zhang
4. Inderveer Chana
5. Xiao Fang Liu
6. Yue-jiao Gong
7. Nidhi Jain Kansal
8. Yun Li

Citations in the corpus

• Cloud Load Balancing Techniques : A Step Towards Green Computing (2012, background): “Improves overall performance of load balancer Scheduling strategy on LB of VM resources [25] Cloud Computing 1.”
• Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches (2015, methodology): “Hu et al. [2010] also used a GA approach to map VMs to physical resources with an optimized load balance, but via a different chromosome code scheme. As each PM can host several VMs, their GA approach uses a tree-type encoding scheme to indicate how many VMs are created in each PM. During the cloud ”