Gropengießer, Uwe ; Brandherm, Florian ; Mühlhäuser, Max (2023)
Poster: Processing of Latency- and Deadline-Aware Big Data Approaches at the Edge.
8th ACM/IEEE Symposium on Edge Computing. Wilmington, USA (06.12. - 09.12.2023)
doi: 10.1145/3583740.3626623
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Time-critical requests are becoming increasingly important for microservice service chains. For such service chains, a late response may be worthless or cause failures. Previous works proposed to prevent late responses by trading computation time for result quality, depending on the available resources. However, determining the Quality of Result (QoR) for each operation in a service chain ahead of time, as is the state of the art, cannot prevent requests that are currently processing from being late if resource availability changes, e.g., due to resource sharing at inelastic Edge sites. Therefore, we present a framework to control the QoR online by replanning QoR values whenever resource changes are detected.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Gropengießer, Uwe ; Brandherm, Florian ; Mühlhäuser, Max |
| Art des Eintrags: | Bibliographie |
| Titel: | Poster: Processing of Latency- and Deadline-Aware Big Data Approaches at the Edge |
| Sprache: | Englisch |
| Publikationsjahr: | 7 Dezember 2023 |
| Verlag: | IEEE |
| Buchtitel: | 2023 IEEE/ACM Symposium on Edge Computing (SEC) |
| Veranstaltungstitel: | 8th ACM/IEEE Symposium on Edge Computing |
| Veranstaltungsort: | Wilmington, USA |
| Veranstaltungsdatum: | 06.12. - 09.12.2023 |
| DOI: | 10.1145/3583740.3626623 |
| URL / URN: | https://ieeexplore.ieee.org/document/10419309 |
| Kurzbeschreibung (Abstract): | Time-critical requests are becoming increasingly important for microservice service chains. For such service chains, a late response may be worthless or cause failures. Previous works proposed to prevent late responses by trading computation time for result quality, depending on the available resources. However, determining the Quality of Result (QoR) for each operation in a service chain ahead of time, as is the state of the art, cannot prevent requests that are currently processing from being late if resource availability changes, e.g., due to resource sharing at inelastic Edge sites. Therefore, we present a framework to control the QoR online by replanning QoR values whenever resource changes are detected. |
| Freie Schlagworte: | Edge Computing, Approximate Computing, Quality of Result |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > B: Adaptionsmechanismen DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > B: Adaptionsmechanismen > Teilprojekt B2: Koordination und Ausführung |
| TU-Projekte: | Bund/BMBF|01IS17050|Software Campus 2.0 DFG|SFB1053|SFB1053 TPB02 Mühlhä |
| Hinterlegungsdatum: | 03 Apr 2024 13:38 |
| Letzte Änderung: | 03 Apr 2024 13:38 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum