Name
Abstract | ||
|---|---|---|
State-of-the-art serverless platforms use hard-coded scheduling policies that are unaware of the possible topological constraints of functions. Considering these constraints when scheduling functions leads to sensible performance improvements, e.g., minimising loading times or data-access latencies. This issue becomes more pressing when considered in the emerging multi-cloud and edge-cloud-continuum systems, where only specific nodes can access specialised, local resources. To address this problem, we present a declarative language for defining serverless scheduling policies to express constraints on topologies of schedulers and execution nodes. We implement our approach as an extension of the OpenWhisk platform. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/ICWS55610.2022.00056 | 2022 IEEE International Conference on Web Services (ICWS) |
Keywords | DocType | ISBN |
Serverless,Function Execution Scheduling,Topology aware,Optimisation | Conference | 978-1-6654-8144-1 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giuseppe De Palma | 1 | 0 | 0.34 |
| Saverio Giallorenzo | 2 | 0 | 0.34 |
| Jacopo Mauro | 3 | 0 | 0.68 |
| Matteo Trentin | 4 | 0 | 0.34 |
| Gianluigi Zavattaro | 5 | 1953 | 127.60 |