Vortrag: VE-Match: Video Encoding Matching-based Model for Cloud and Edge Comp...
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Titel: | VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing Instances |
Beschreibung: | The considerable surge in energy consumption within data centers can be attributed to the exponential rise in demand for complex computing workflows and storage resources. Video streaming applications are both compute and storage-intensive and account for the majority of today's internet services. In this work, we designed a video encoding application consisting of codec, bitrate, and resolution set for encoding a video segment. Then, we propose VE-Match, a matching-based method to schedule video encoding applications on both Cloud and Edge resources to optimize costs and energy consumption. Evaluation results on a real computing testbed federated between Amazon Web Services (AWS) EC2 Cloud instances and the Alpen-Adria University (AAU) Edge server reveal that VE-Match achieves lower costs by 17%-78% in the cost-optimized scenarios compared to the energy-optimized and tradeoff between cost and energy. Moreover, VE-Match improves the video encoding energy consumption by 38%-45% and gCO2 emission by up to 80% in the energy-optimized scenarios compared to the cost-optimized and tradeoff between cost and energy. |
Schlagworte: | Video encoding, Cloud and Edge computing, energy consumption, CO² emission, scheduling |
Typ: | Angemeldeter Vortrag |
Homepage: | https://athena.itec.aau.at/events/events-gmsys23/ |
Veranstaltung: | First International ACM Green Multimedia Systems Workshop (GMSys 2023) (Vancouver) |
Datum: | 10.06.2023 |
Vortragsstatus: | stattgefunden (Präsenz) |
Beteiligte
Samira Afzal (intern) |
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Narges Mehran (intern) |
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Sandro Linder (extern) |
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Christian Timmerer (intern) |
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Radu Aurel Prodan (intern) |
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Zuordnung
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
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bitmovin GmbH
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AT - 9020 Klagenfurt am Wörthersee |
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