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Evaluating the performance of apple’s low-latency HLS

İsim Evaluating the performance of apple’s low-latency HLS
Yazar Durak, Kerem, Akçay, Mehmet Necmettin, Erinç, Yiğit Kemal, Pekel, Boran, Beğen, Ali Cengiz
Basım Tarihi: 2020-09-21
Basım Yeri - IEEE
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 978-1-7281-9320-5
Kayıt Numarası 773c8090-52c2-484f-86dc-5d504a218ee1
Lokasyon Computer Science
Tarih 2020-09-21
Örnek Metin In its annual developers conference in June 2019, Apple has announced a backwards-compatible extension to its popular HTTP Live Streaming (HLS) protocol to enable low-latency live streaming. This extension offers new features such as the ability to generate partial segments, use playlist delta updates, block playlist reload and provide rendition reports. Compared to the traditional HLS, these features require new capabilities on the origin servers and the caches inside a content delivery network. While HLS has been known to perform great at scale, its low-latency extension is likely to consume considerable server and network resources, and this may raise concerns about its scalability. In this paper, we make the first attempt to understand how this new extension works and performs. We also provide a 1:1 comparison against the low-latency DASH approach, which is the competing low-latency solution developed as an open standard.
DOI 10.1109/MMSP48831.2020.9287117
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Evaluating the performance of apple’s low-latency HLS

Yazar Durak, Kerem, Akçay, Mehmet Necmettin, Erinç, Yiğit Kemal, Pekel, Boran, Beğen, Ali Cengiz
Basım Tarihi 2020-09-21
Basım Yeri - IEEE
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 978-1-7281-9320-5
Kayıt Numarası 773c8090-52c2-484f-86dc-5d504a218ee1
Lokasyon Computer Science
Tarih 2020-09-21
Örnek Metin In its annual developers conference in June 2019, Apple has announced a backwards-compatible extension to its popular HTTP Live Streaming (HLS) protocol to enable low-latency live streaming. This extension offers new features such as the ability to generate partial segments, use playlist delta updates, block playlist reload and provide rendition reports. Compared to the traditional HLS, these features require new capabilities on the origin servers and the caches inside a content delivery network. While HLS has been known to perform great at scale, its low-latency extension is likely to consume considerable server and network resources, and this may raise concerns about its scalability. In this paper, we make the first attempt to understand how this new extension works and performs. We also provide a 1:1 comparison against the low-latency DASH approach, which is the competing low-latency solution developed as an open standard.
DOI 10.1109/MMSP48831.2020.9287117
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