Name
Abstract | ||
|---|---|---|
A common pitfall when hosting applications in today's cloud environments is that virtual servers often experience varying execution speeds due to the interference from co-located virtual servers degrading the tail sojourn times specified in service level agreements. Motivated by the significance of tail sojourn times for cloud clusters, we develop a model of N parallel virtual server queues, each ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCC.2015.2474367 | IEEE Transactions on Cloud Computing |
Keywords | Field | DocType |
Servers,Approximation methods,Cloud computing,Encyclopedias,Electronic publishing | Cluster (physics),Service level,Computer science,Server,Queue,Testbed,Processor sharing,Real-time computing,Interference (wave propagation),Distributed computing,Cloud computing | Journal |
Volume | Issue | ISSN |
6 | 1 | 2168-7161 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathias Bjorkqvist | 1 | 96 | 8.85 |
| Natarajan Gautam | 2 | 216 | 22.55 |
| Robert Birke | 3 | 143 | 17.83 |
| Lydia Y. Chen | 4 | 432 | 52.24 |
| Walter Binder | 5 | 1077 | 92.58 |