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Pregled bibliografske jedinice broj: 893707

Optimization of Chunk Scheduling Algorithm in Hybrid CDN-P2P Live Video Streaming


Mešković, Melika; Kos, Mladen
Optimization of Chunk Scheduling Algorithm in Hybrid CDN-P2P Live Video Streaming // Iete journal of research, 6 (2017), 1-10 doi:10.1080/03772063.2017.1369911 (međunarodna recenzija, članak, znanstveni)


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Naslov
Optimization of Chunk Scheduling Algorithm in Hybrid CDN-P2P Live Video Streaming

Autori
Mešković, Melika ; Kos, Mladen

Izvornik
Iete journal of research (0377-2063) 6 (2017); 1-10

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Chunk scheduling ; Content delivery networks ; Knapsack problem ; Layered video streaming ; Live video streaming ; Peer-to-peer ; Taboo search

Sažetak
With so many different devices with varying video processing capabilities in use today, an adoptive distribution of live video streaming that is capable of meeting the end user expectations and that utilizes the end user's hardware to the maximum has become a major priority for live video streaming service providers. Meeting this challenge requires upgrading of the traditional video scheduling algorithm so that the provision of best video quality does not compromise the integrity of the video stream. This paper analyses modelling of the video chunk scheduling for layered live video streaming in mesh pull-based CDN-P2P network and introduces a new algorithm that improves modelling performance. The proposed chunk scheduling algorithm is based on a taboo search and optimizes the video throughput and the video delivery ratio. It uses chunk playback deadline together with chunk layer dependency to discredit chunks whose deadlines have expired and those chunks that do not have the corresponding lower layer values. Finally, the simulation results show that the proposed algorithm performs significantly better than the traditional chunk scheduling approach.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Mladen Kos (autor)

Poveznice na cjeloviti tekst rada:

doi www.tandfonline.com www.tandfonline.com

Citiraj ovu publikaciju:

Mešković, Melika; Kos, Mladen
Optimization of Chunk Scheduling Algorithm in Hybrid CDN-P2P Live Video Streaming // Iete journal of research, 6 (2017), 1-10 doi:10.1080/03772063.2017.1369911 (međunarodna recenzija, članak, znanstveni)
Mešković, M. & Kos, M. (2017) Optimization of Chunk Scheduling Algorithm in Hybrid CDN-P2P Live Video Streaming. Iete journal of research, 6, 1-10 doi:10.1080/03772063.2017.1369911.
@article{article, author = {Me\v{s}kovi\'{c}, Melika and Kos, Mladen}, year = {2017}, pages = {1-10}, DOI = {10.1080/03772063.2017.1369911}, keywords = {Chunk scheduling, Content delivery networks, Knapsack problem, Layered video streaming, Live video streaming, Peer-to-peer, Taboo search}, journal = {Iete journal of research}, doi = {10.1080/03772063.2017.1369911}, volume = {6}, issn = {0377-2063}, title = {Optimization of Chunk Scheduling Algorithm in Hybrid CDN-P2P Live Video Streaming}, keyword = {Chunk scheduling, Content delivery networks, Knapsack problem, Layered video streaming, Live video streaming, Peer-to-peer, Taboo search} }
@article{article, author = {Me\v{s}kovi\'{c}, Melika and Kos, Mladen}, year = {2017}, pages = {1-10}, DOI = {10.1080/03772063.2017.1369911}, keywords = {Chunk scheduling, Content delivery networks, Knapsack problem, Layered video streaming, Live video streaming, Peer-to-peer, Taboo search}, journal = {Iete journal of research}, doi = {10.1080/03772063.2017.1369911}, volume = {6}, issn = {0377-2063}, title = {Optimization of Chunk Scheduling Algorithm in Hybrid CDN-P2P Live Video Streaming}, keyword = {Chunk scheduling, Content delivery networks, Knapsack problem, Layered video streaming, Live video streaming, Peer-to-peer, Taboo search} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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