Publikation: OTEC: An Optimized Transcoding Task Sch...
Stammdaten
Titel: | OTEC: An Optimized Transcoding Task Scheduler for Cloud and Fog Environments |
Untertitel: | |
Kurzfassung: | Encoding and transcoding videos into multiple codecs and representations is a significant challenge that requires seconds or even days on high-performance computers depending on many technical characteristics, such as video complexity or encoding parameters. Cloud computing offering on-demand computing resources optimized to meet the needs of customers and their budgets is a promising technology for accelerating dynamic transcoding workloads. In this work, we propose OTEC, a novel multi-objective optimization method based on the mixed-integer linear programming model to optimize the computing instance selection for transcoding processes. OTEC determines the type and number of cloud and fog resource instances for video encoding and transcoding tasks with optimized computation cost and time. We evaluated OTEC on AWS EC2 and Exoscale instances for various administrator priorities, the number of encoded video segments, and segment transcoding times. The results show that OTEC can achieve appropriate resource selections and satisfy the administrator's priorities in terms of time and cost minimization. |
Schlagworte: |
Publikationstyp: | Beitrag in Proceedings (Autorenschaft) |
Erscheinungsdatum: | 09.12.2022 (Print) |
Erschienen in: |
ViSNext'22 Proceedings of the 2nd International Workshop on Design, Deployment, and Evaluation of Network-Assisted Video Streaming
ViSNext'22 Proceedings of the 2nd International Workshop on Design, Deployment, and Evaluation of Network-Assisted Video Streaming
(
ACM Digital Library;
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | - |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 21 - 26 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 06.12.2022 |
ISBN (e-book): | - |
eISSN: | - |
DOI: | http://dx.doi.org/10.1145/3565476.3569099 |
Homepage: | https://dl.acm.org/doi/abs/10.1145/3565476.3569099 |
Open Access |
|
Erscheinungsdatum: | 09.12.2022 |
ISBN: | - |
ISSN: | - |
Homepage: | https://dl.acm.org/doi/abs/10.1145/3565476.3569099 |
AutorInnen
Samira Afzal (intern) |
Farzad Tashtarian (intern) |
Hamid Hadian (intern) |
Alireza Erfanian (intern) |
Christian Timmerer (intern) |
Radu Aurel Prodan (intern) |
Zuordnung
Organisation | Adresse | ||||
---|---|---|---|---|---|
Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
|
AT - 9020 Klagenfurt am Wörthersee |
Kategorisierung
Sachgebiete | |
Forschungscluster | Kein Forschungscluster ausgewählt |
Peer Reviewed |
|
Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
|
Arbeitsgruppen |
|
Kooperationen
Forschungsaktivitäten
(Achtung: Externe Aktivitäten werden im Suchergebnis nicht mitangezeigt)
Projekte: |
|
Publikationen: | Keine verknüpften Publikationen vorhanden |
Veranstaltungen: |
|
Vorträge: |
|