Name
Abstract | ||
|---|---|---|
Providing latency support is an important problem for clustered storage systems. In this paper, we present Fair-EDF, a framework for latency guarantees in shared storage servers. It provides fairness control while supporting latency guarantees. Fair-EDF extends the pure earliest deadline first (EDF) scheduler by adding a controller to shape the workloads. Under overload it selects a minimal number of requests to drop and to choose the dropped requests in a fair manner. The evaluation results show Fair-EDF provides steady fairness control among a set of clients with different runtime behaviors. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/NAS.2019.8834732 | 2019 IEEE International Conference on Networking, Architecture and Storage (NAS) |
Keywords | Field | DocType |
request scheduling,earliest deadline first,QoS,latency,response time | Control theory,Latency (engineering),Scheduling (computing),Computer science,Server,Quality of service,Response time,Computer network,Earliest deadline first scheduling | Conference |
ISBN | Citations | PageRank |
978-1-7281-4410-8 | 0 | 0.34 |
References | Authors | |
13 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuhan Peng | 1 | 2 | 1.44 |
| Qingyue Liu | 2 | 0 | 1.35 |
| Peter J. Varman | 3 | 700 | 83.23 |