{"id":2309,"date":"2026-07-22T11:04:16","date_gmt":"2026-07-22T09:04:16","guid":{"rendered":"https:\/\/exdigit.plus.ac.at\/?p=2309"},"modified":"2026-07-27T11:06:32","modified_gmt":"2026-07-27T09:06:32","slug":"collaborative-publications-on-sustainable-video-streaming","status":"publish","type":"post","link":"https:\/\/exdigit.plus.ac.at\/en\/collaborative-publications-on-sustainable-video-streaming\/","title":{"rendered":"Collaborative Publications on Sustainable Video Streaming"},"content":{"rendered":"<p><a href=\"https:\/\/exdigit.plus.ac.at\/en\/exdigitteam\/\" target=\"_blank\" rel=\"noopener\">Narges Mehran<\/a> collaborated with researchers from Baylor University (USA), the University of Klagenfurt, and the University of Innsbruck (Austria) on two publications focused on the sustainability of video streaming technologies.<\/p>\n<p>SEED: Energy and Emission Estimation Dataset for Adaptive Video Streaming (VCIP 2025) introduces an open dataset offering detailed energy consumption and CO\u2082 emission measurements for adaptive video streaming across both cloud provisioning and end-user devices. This dataset facilitates the development and evaluation of energy- and carbon-aware streaming algorithms.<br \/>\nLink: <a href=\"https:\/\/doi.org\/10.1109\/VCIP67698.2025.11396836\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1109\/VCIP67698.2025.11396836<\/a><\/p>\n<p>X4-MATCH: Sustainable Prediction-based Distribution of Video Encoding on Cloud and Edge (IPDPS 2026) presents a machine learning-driven scheduling framework that optimizes the allocation of video encoding tasks across cloud and edge infrastructures, with the objective of minimizing processing time, cost, energy consumption, and carbon emissions.<br \/>\nLink: <a href=\"https:\/\/doi.org\/10.1109\/IPDPS65963.2026.00038\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1109\/IPDPS65963.2026.00038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Narges Mehran collaborated with researchers from Baylor University (USA), the University of Klagenfurt, and the University of Innsbruck (Austria) on two publications focused on the sustainability of video streaming technologies. SEED: Energy and Emission Estimation Dataset for Adaptive Video Streaming (VCIP 2025) introduces an open dataset offering detailed energy consumption and CO\u2082 emission measurements for [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":2312,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[19],"tags":[],"class_list":["post-2309","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-exdigit-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/exdigit.plus.ac.at\/en\/wp-json\/wp\/v2\/posts\/2309","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/exdigit.plus.ac.at\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/exdigit.plus.ac.at\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/exdigit.plus.ac.at\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/exdigit.plus.ac.at\/en\/wp-json\/wp\/v2\/comments?post=2309"}],"version-history":[{"count":3,"href":"https:\/\/exdigit.plus.ac.at\/en\/wp-json\/wp\/v2\/posts\/2309\/revisions"}],"predecessor-version":[{"id":2315,"href":"https:\/\/exdigit.plus.ac.at\/en\/wp-json\/wp\/v2\/posts\/2309\/revisions\/2315"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/exdigit.plus.ac.at\/en\/wp-json\/wp\/v2\/media\/2312"}],"wp:attachment":[{"href":"https:\/\/exdigit.plus.ac.at\/en\/wp-json\/wp\/v2\/media?parent=2309"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/exdigit.plus.ac.at\/en\/wp-json\/wp\/v2\/categories?post=2309"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/exdigit.plus.ac.at\/en\/wp-json\/wp\/v2\/tags?post=2309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}