End-to-end Optimizations for Green Streaming

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Abstract

Video streaming is a widely used and energy-demanding online service, which contributes to CO2 emissions and environmental issues. In this paper, we investigate the technological feasibility and benefits of green streaming technologies, which aim to optimize the energy efficiency and carbon footprint of streaming content across the whole supply chain. Our work focuses on three key technologies: context-aware encoding, green media players, and energy-aware content steering. We present experiments and simulations to evaluate the performance and impact of these technologies. We also explore their economic viability and potential for creating new business opportunities in the streaming industry. Our work provides a holistic evaluation of green streaming technologies, which can support the global efforts for climate action and environmental protection.

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APA

Seeliger, R., Pham, S., & Arbanowski, S. (2023). End-to-end Optimizations for Green Streaming. In GMSys 2023 - Proceedings of the 1st International Workshop on Green Multimedia Systems, Part of ACM MMSys 2023 (pp. 10–12). Association for Computing Machinery, Inc. https://doi.org/10.1145/3593908.3593945

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