CORE: Code Once, Run Everywhere. Engineering Serverless Workflow Applications with High-Level of Abstraction
| dc.contributor.author | Larcher, Thomas | |
| dc.contributor.editor | Dhungana, Deepak | |
| dc.contributor.editor | Lambers, Leen | |
| dc.contributor.editor | Bonorden, Leif | |
| dc.contributor.editor | Henning, Sören | |
| dc.date.accessioned | 2024-02-14T05:22:29Z | |
| dc.date.available | 2024-02-14T05:22:29Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | To keep the serverless functions lightweight, a significant portion of the computing is typically offloaded to already pre-trained AI-based Backend-as-a-Service (BaaS) cloud services, such as speech recognition. The recent rise of federated serverless computing offers cost and performance advantages for these BaaS-enabled serverless workflows by deploying them across different cloud providers. However, due to the lack of interoperability among cloud providers, many challenges remain to setup the BaaS-enabled serverless workflows in federated serverless infrastructures. | en |
| dc.identifier.doi | 10.18420/sw2024-ws_17 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43514 | |
| dc.language.iso | en | |
| dc.pubPlace | Bonn | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | SE 2024 - Companion | |
| dc.subject | Code Once | |
| dc.subject | Run Everywhere. | |
| dc.title | CORE: Code Once, Run Everywhere. Engineering Serverless Workflow Applications with High-Level of Abstraction | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 182 | |
| gi.citation.startPage | 181 | |
| gi.conference.date | 26.- 27. Februar | |
| gi.conference.location | Linz | |
| gi.conference.sessiontitle | SRC |
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