Disk system design for guaranteeing quality of service in interactive video-on-demand systems

1997 ◽  
Author(s):  
Chih-Yuan Cheng ◽  
Yen-Jen Oyang ◽  
Meng-Huang Lee
Keyword(s):  
Quality Of Service ◽  
System Design ◽  
Interactive Video ◽  
Video On Demand ◽  
Demand Systems ◽  
Disk System ◽  
On Demand

scholarly journals Guaranteeing quality of service in interactive video-on-demand servers

1999 ◽  
Vol 45 (2) ◽  
pp. 396-407 ◽  
Author(s):  
Chih-Yuan Cheng ◽  
Yen-Jen Oyang ◽  
Meng-Huang Lee
Keyword(s):  
Quality Of Service ◽  
Interactive Video ◽  
Video On Demand ◽  
On Demand

A practical methodology for guaranteeing quality of service for video-on-demand

2000 ◽  
Vol 10 (1) ◽  
pp. 166-178 ◽  
Author(s):  
J. Zamora ◽  
S. Jacobs ◽  
A. Eleftheriadis ◽  
Shih-Fu Chang ◽  
D. Anastassiou
Keyword(s):  
Quality Of Service ◽  
Video On Demand ◽  
On Demand

scholarly journals Analisa Kualitas Delay Video on Demand Useetv Menggunakan Serat Optik Di Area Purwokerto

2017 ◽  
Vol 18 (2) ◽  
pp. 83
Author(s):  
Widhiatmoko Herry Purnomo ◽  
Farida Asrian
Keyword(s):  
Quality Of Service ◽  
Optical Network ◽  
Internet Protocol ◽  
Video On Demand ◽  
Passive Optical Network ◽  
On Demand

Video on Demand adalah salah satu layanan UseeTV IndiHome PT. Telekomunikasi Indonesia, Tbk berbasis IP (Internet Protocol).  Video on Demand (VoD) merupakan salah satu fitur dari UseeTV yang memungkinkan pelanggan untuk dapat melakukan perekaman, penyimpanan dan penayangan kembali acara televise tertentu. Untuk mendapatkan kinerja yang baik maka layanan ini membutuhkan bandwidth yang cukup besar. Teknologi Gigabit-Capable Passive Optical Network (GPON) menjadi teknologi yang dapat mendukung layanan ini. Dalam layanan UseeTV, aktifitas jalur downstream menjadi perlakuan khusus, sehingga Quality of Service (QoS) dan kepadatan trafik perlu diperhatikan.Salah satu parameter yang berpengaruh terhadap layanan UseeTV adalah delay. Semakin kecil nilai delay  maka akan semakin baik juga layanan UseeTV yang diterima oleh pelanggan. 

Segmented Pipelining

2011 ◽  
pp. 299-319
Author(s):  
Phillip K.C. Tse
Keyword(s):  
Interactive Video ◽  
Video On Demand ◽  
Buffer Size ◽  
Demand Systems ◽  
On Demand ◽  
Start Up ◽  
Efficient Retrieval ◽  
Video Systems ◽  
Slice Method ◽  
The Cost

The robotic tape library and optical jukebox provide huge and cheap capacity for the storage of multimedia objects. The stored objects may be retrieved using staging, time slicing, or pipelining. The staging method retrieves the whole objects to the staging buffers prior to consumption at the cost of high start-up latency. The time slice method reduces the start-up latency at the cost of heavy switching overheads. The pipelining methods aim at minimizing the start-up latency. In the normal pipelining method, the sizes of the slices are minimized to maximize the overlapping between the displaying time and the retrieval time of the slices. In space efficient pipelining methods, the buffer size in accessing the slices is minimized. We have already described the normal pipelining and the space efficient pipelining methods in the two previous chapters. The segmented pipelining method to reduce the latency in serving interactive requests is presented in this chapter. Multimedia objects are usually displayed from the beginning to the end in video on demand systems. Interactive video-on-demand systems support VCR-like functions, including fast forward, rewind, pause, and resume functions. Large video systems store many objects. The video systems should allow some searching to allow users find the desired objects. When searching is required, the video-on-demand system would need to provide browsing, jump, keyword, and content based searching. Unless the staging method is used, the multimedia storage system cannot support any VCR-like operations. The segmented pipelining method is designed to provide efficient retrieval of multimedia objects with supporting of previews. In this chapter, the segmented pipelining method is first described in the next section. The performance of the segmented pipelining method is then described and analyzed before this chapter is summarized.

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