GREEM Article Swipe
Christian Bauer
,
Samira Afzal
,
Sandro Linder
,
Radu Prodan
,
Christian Timmerer
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3625468.3652168
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3625468.3652168
Addressing climate change requires a global decrease in greenhouse gas (GHG) emissions. In today's digital landscape, video streaming significantly influences internet traffic, driven by the widespread use of mobile devices and the rising popularity of streaming platforms. This trend emphasizes the importance of evaluating energy consumption and the development of sustainable and eco-friendly video streaming solutions with a low Carbon Dioxide (CO2) footprint. We developed a specialized tool, released as an open-source library called GREEM, addressing this pressing concern. This tool measures video encoding and decoding energy consumption and facilitates measurement testbeds. It monitors the computational impact on hardware resources and offers various analysis cases. GREEM is helpful for developers, researchers, service providers, and policymakers interested in minimizing the energy consumption of video encoding and streaming.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3625468.3652168
- https://dl.acm.org/doi/pdf/10.1145/3625468.3652168
- OA Status
- gold
- References
- 17
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4394891047Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3625468.3652168Digital Object Identifier
- Title
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GREEMWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-04-15Full publication date if available
- Authors
-
Christian Bauer, Samira Afzal, Sandro Linder, Radu Prodan, Christian TimmererList of authors in order
- Landing page
-
https://doi.org/10.1145/3625468.3652168Publisher landing page
- PDF URL
-
https://dl.acm.org/doi/pdf/10.1145/3625468.3652168Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://dl.acm.org/doi/pdf/10.1145/3625468.3652168Direct OA link when available
- Concepts
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Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
-
17Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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