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Journals / Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi / 2026 / Cilt: 17 Sayı: 3

A media-type-aware asynchronous framework for restoring heterogeneous stream endpoint collections

Heterojen akış uç noktası koleksiyonlarının yeniden kullanılabilir hâle getirilmesi için medya türü duyarlı asenkron bir çerçeve

Özkan Canay(SAKARYA ÜNİVERSİTESİ, BİLGİSAYAR VE BİLİŞİM BİLİMLERİ FAKÜLTESİ)0000-0001-7539-6001
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Publication Date
2026-10-18
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These results characterize time-bounded restoration of endpoint collections under the specified experimental conditions and do not establish recovery of remote services, sustained playback, or quality of experience.

📌 3 Key Takeaways

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Objective & Hypothesis:User-maintained Internet radio and IPTV-like playlists often contain unavailable, duplicate, redirected, malformed, or non-media endpoints.
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Key Findings & Data:The framework parses TXT, M3U/M3U8, pipe-delimited, and AIMPPL4 inputs and normalizes station–URL pairs before applying asynchronous HTTP HEAD probing with a GET fallback whose response-body read is capped at one byte after HEAD 405/501.
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Conclusion & Impact:These results characterize time-bounded restoration of endpoint collections under the specified experimental conditions and do not establish recovery of remote services, sustained playback, or quality of experience.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:İnternet radyosu · IPTV oynatma listesi · Akış uç noktası yeniden kullanılabilirliği

Abstract

User-maintained Internet radio and IPTV-like playlists often contain unavailable, duplicate, redirected, malformed, or non-media endpoints. This article evaluates a reproducible, provenance-preserving Python framework for restoring heterogeneous stream endpoint collections through playlist-level media-type-aware validation, URL transformation, invalid-entry removal, and verified alternative selection. The framework parses TXT, M3U/M3U8, pipe-delimited, and AIMPPL4 inputs and normalizes station–URL pairs before applying asynchronous HTTP HEAD probing with a GET fallback whose response-body read is capped at one byte after HEAD 405/501. It then revalidates transformed URLs, selects one validated alternative per station, and exports machine-readable evidence. Across three repetitions on a fixed 400-endpoint sample in the primary cloud environment, a concurrency limit of 50 reduced mean validation time from 211.6 to 6.3 seconds, a 33.6-fold speedup. An independent repetition in a second environment showed the same timing direction. A separate full-corpus evaluation processed all 1,858 unique pairs in 31.14 seconds, validated 485 endpoints, and selected endpoints for 372 stations. In a four-configuration descriptive acceptance/repair analysis, the status-only/no-repair setting accepted 25.6 non-media 2xx responses on average, whereas the media-type/repair setting accepted 115.8 media-compliant endpoints and rescued 29.3. Within the sampled decoder strata, all 19 unique rescued URLs passed a short independent media probe and none of the 18 unique status-only non-media URLs did, although three of 20 validator-rejected URLs also passed. These results characterize time-bounded restoration of endpoint collections under the specified experimental conditions and do not establish recovery of remote services, sustained playback, or quality of experience.

Özet

Kullanıcıların sürdürdüğü İnternet radyosu ve IPTV benzeri oynatma listeleri çoğu zaman erişilemeyen, yinelenen, yönlendirilmiş, hatalı biçimli ya da medya içermeyen uç noktalar barındırır. Bu makale, oynatma listesi düzeyinde medya türü duyarlı doğrulama, URL dönüşümü, geçersiz kayıtların çıkarılması ve doğrulanmış alternatif seçimi yoluyla heterojen akış uç noktası koleksiyonlarını yeniden kullanılabilir hâle getiren, yeniden üretilebilir ve köken bilgisini (provenance) koruyan bir Python çerçevesini değerlendirmektedir. Çerçeve TXT, M3U/M3U8, boru imiyle ayrılmış ve AIMPPL4 girdilerini ayrıştırmakta, istasyon-URL çiftlerini normalleştirmekte ve ardından HEAD 405/501 yanıtı sonrasında gövde okuması bir baytla sınırlandırılmış GET yedeğine sahip asenkron HTTP HEAD yoklamasını uygulamaktadır. Daha sonra dönüştürülen URL'leri yeniden doğrulamakta, istasyon başına bir doğrulanmış alternatif seçmekte ve makinece okunabilir kanıt dışa aktarmaktadır. Birincil bulut ortamında sabit 400 uç noktalık örneklem üzerindeki üç yinelemede, 50 eşzamanlılık sınırı ortalama doğrulama süresini 211,6 saniyeden 6,3 saniyeye indirmiş ve 33,6 kat hızlanma sağlamıştır. İkinci bir ortamdaki bağımsız yineleme aynı zamanlama yönünü göstermiştir. Ayrı bir tam korpus değerlendirmesi 1.858 benzersiz çiftin tamamını 31,14 saniyede işlemiş, 485 uç noktayı doğrulamış ve 372 istasyon için uç nokta seçmiştir. Dört yapılandırmalı betimsel kabul/onarım analizinde, yalnızca durum denetimli ve onarımsız ayar ortalama 25,6 medya dışı 2xx yanıtını kabul ederken medya türü denetimli ve onarımlı ayar 115,8 medya uyumlu uç noktayı kabul etmiş ve 29,3 uç noktayı kurtarmıştır. Örneklenen kod çözücü tabakaları içinde, kurtarılan 19 benzersiz URL'nin tamamı kısa bağımsız medya yoklamasını geçmiş, yalnızca durum denetimli 18 benzersiz medya dışı URL'nin hiçbiri geçmemiş; ancak doğrulayıcının reddettiği 20 URL'den üçü de bu yoklamayı geçmiştir. Bu sonuçlar, belirtilen deney koşulları altında uç nokta koleksiyonlarının zaman sınırlı biçimde yeniden kullanılabilir hâle getirilmesini nitelemekte; uzak hizmetlerin geri kazanımını, sürekli oynatmayı veya deneyim kalitesini ortaya koymamaktadır.

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Cite This Article

Canay, Ö. (2026). A media-type-aware asynchronous framework for restoring heterogeneous stream endpoint collections. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, Cilt: 17 Sayı: 3. https://doi.org/10.24012/dumf.2012232

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