Name
Abstract | ||
|---|---|---|
Many data centers extensively use virtual machines (VMs), which provide the flexibility to move workload among physical servers. VMs can be placed to maximize application performance, power efficiency, or even fault tolerance. However, VMs are typically repositioned without considering network topology, congestion, or traffic routes. In this demo, we show a system, Virtue, which enables the comparison of different algorithms for VM placement and network routing at the scale of an entire data center. Our goal is to understand how placement and routing affect overall application performance by varying the types and mix of workloads, network topologies, and compute resources; these parameters will be available for demo attendees to explore. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/2018436.2018530 | SIGCOMM |
Keywords | Field | DocType |
different algorithm,entire data center,overall application performance,virtualized data center,data center,network topology,application performance,network routing,demo attendees,vm placement,fault tolerance,power efficiency,fault tolerant,virtual machine,openflow,virtualization | Virtualization,Virtual machine,Computer science,Workload,Server,Computer network,Network topology,Fault tolerance,OpenFlow,Data center,Distributed computing | Conference |
Citations | PageRank | References |
5 | 0.74 | 7 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Erickson | 1 | 494 | 31.70 |
| Brandon Heller | 2 | 2026 | 168.08 |
| Shuang Yang | 3 | 33 | 9.23 |
| Jonathan Chu | 4 | 27 | 2.14 |
| Jonathan Ellithorpe | 5 | 17 | 1.47 |
| Scott Whyte | 6 | 192 | 11.78 |
| Stephen Stuart | 7 | 820 | 34.67 |
| Nick McKeown | 8 | 13247 | 1201.05 |
| Guru M. Parulkar | 9 | 5350 | 534.45 |
| Mendel Rosenblum | 10 | 4129 | 572.54 |