23 research outputs found

    Traffic Profiling for Mobile Video Streaming

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    This paper describes a novel system that provides key parameters of HTTP Adaptive Streaming (HAS) sessions to the lower layers of the protocol stack. A non-intrusive traffic profiling solution is proposed that observes packet flows at the transmit queue of base stations, edge-routers, or gateways. By analyzing IP flows in real time, the presented scheme identifies different phases of an HAS session and estimates important application-layer parameters, such as play-back buffer state and video encoding rate. The introduced estimators only use IP-layer information, do not require standardization and work even with traffic that is encrypted via Transport Layer Security (TLS). Experimental results for a popular video streaming service clearly verify the high accuracy of the proposed solution. Traffic profiling, thus, provides a valuable alternative to cross-layer signaling and Deep Packet Inspection (DPI) in order to perform efficient network optimization for video streaming.Comment: 7 pages, 11 figures. Accepted for publication in the proceedings of IEEE ICC'1

    PENGGUNAAN MULTIMEDIA BERBASIS TEKNOLOGI BAGI PENDIDIKAN PROFESI GURU (PPG): ANALISIS USER EXPERIENCE (UX)

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    Pembelajaran yang baik harus memanfaatkan semaksimal mungkin media pembelajaran untuk menunjang pencapaian tujuan pembelajaran. Namun, tidak semua guru mampu membuat dan menggunakan multimedia berbasis komputer. Tujuan penelitian ini adalah untuk mengetahui pengalaman pengguna multimedia menggunakan teknologi terbaru bagi para Pendidikan Profesi Guru (PPG). Penelitian ini menggunakan pendekatan kuantitatif dengan instrument 26 item dengan enam skala yang dimiliki User Experience Questionnaire (UEQ) versi Indonesia di www.ueq-online.org. Partisipan sebanyak 22 guru peserta workshop Pendidikan Profesi Guru (PPG) pada IAIN Samarinda tahun 2019. Pengumpulan data menggunakan Google Form sesuai intrumen dan di kerjakan dalam waktu 10-15 menit, kemudian dianalisis Mean, Varian dan Standar Deviasi menggunakan situs ueq-online. Hasil penelitian dari uji UEQ terdapat lima skala yang dikategorikan Excellent yaitu skala Attractiveness, Efficiency, Dependability, Stimulation dan Novelty. Sedangkan skala Perspicuity dikategorikan Above Average sesuai dengan interval benchmark UEQ. Semua nilai rata-rata diatas 0,08 menunjukkan bahwa evaluasi pengalaman penggunaan multimedia adalah positif. Simpulan bahwa pembelajaran multimedia menggunakan program autoplay media studio.8 sangat baik - memuaskan dipakai bagi Pendidikan Profesi Guru (PPG) mata pelajaran Pendidikan Agama Islam (PAI). Saran penelitian akan datang memperhatikan kolaborasi guru, keterampilan ICT dan kesesuaian karakter siswa dengan multimedia yang dihasilkan.  

    dashc: a highly scalable client emulator for DASH video

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    In this paper we introduce a client emulator for experimenting with DASH video. dashc is a standalone, compact, easy-to-build and easy-to-use command line software tool. The design and implementation of dashc were motivated by the pressing need to conduct network experiments with large numbers of video clients. The highly scalable dashc has low CPU and memory usage. dashc collects necessary statistics about video delivery performance in a convenient format, facilitating thorough post hoc analysis. The code of dashc is modular and new video adaptation algorithm can easily be added. We compare dashc to a state-of-the art client and demonstrate its efficacy for large-scale experiments using the Mininet virtual network
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