Improving the Scalability of Data Center Networks with Traffic-aware Virtual Machine Placement
IBM (United States) · IBM Research - Thomas J. Watson Research Center
Abstract
The scalability of modern data centers has become a practical concern and has attracted significant attention in recent years. In contrast to existing solutions that require changes in the network architecture and the routing protocols, this paper proposes using traffic-aware virtual machine (VM) placement to improve the network scalability. By optimizing the placement of VMs on host machines, traffic patterns among VMs can be better aligned with the communication distance between them, e.g. VMs with large mutual bandwidth usage are assigned to host machines in close proximity. We formulate the VM placement as an optimization problem and prove its hardness. We design a two-tier approximate algorithm that…
Citation impact
- FWCI
- 138.68
- Percentile
- 100%
- References
- 29
Authors
3Topics & keywords
- Computer science
- Scalability
- Data center
- Virtual machine
- Distributed computing
- Computer network
- Bandwidth (computing)
- Host (biology)
- Industry, innovation and infrastructure