Design and evaluation of a scalable and reliable P2P assisted proxy for on-demand streaming media delivery

2006 ◽  
Vol 18 (5) ◽  
pp. 669-682 ◽  
Author(s):  
L. Guo ◽  
S. Chen ◽  
X. Zhang
Keyword(s):  
Streaming Media ◽  
On Demand ◽  
Media Delivery

Amazons Kampf um das Wohnzimmer

2016 ◽  
Vol 13 (3) ◽  
pp. 37-39
Author(s):  
Ralf Kaumanns
Keyword(s):  
Streaming Media ◽  
Video On Demand ◽  
Video Content ◽  
On Demand

Der Kampf um das Wohnzimmer ist voll entbrannt. Eine Reihe von Anbietern versuchen Streaming Media-Dienste im deutschen Markt zu etablieren. Amazon hat sich mit seiner Strategie eine marktführende Rolle erarbeiten können. Laut einer Analyse von Goldmedia¹ besitzt Amazon mittlerweile einen Anteil im Video-On-Demand-Markt von 38,9%, deutlich vor Wettbewerbern wie Apple, Maxdome, Google oder Netflix. Der Erfolg kommt nicht von ungefähr. Der Grund liegt vor allem in einer umfassenden Strategie rund um das Thema Bewegtbild und Video Content. Im Kampf um das Wohnzimmer haben selbst große und finanzkräftige Wettbewerber einen schweren Stand, um mit umfassend gebündelten Angeboten Schritt zu halten.

Algorithm of Video on Demand Scheduling by Protocol of Video on Demand and Multimedia Encoding Technology

2014 ◽  
Vol 1022 ◽  
pp. 316-320
Author(s):  
Guo Fang Kuang ◽  
Xiao Hui Li ◽  
Chao Li
Keyword(s):  
Greedy Algorithm ◽  
Streaming Media ◽  
Video On Demand ◽  
Demand System ◽  
System Function ◽  
On Demand ◽  
Network Transmission

This paper first analyzes the protocol used in video on demand system function, using method. Then this paper introduces the coding technology, according to the characteristics of streaming media network transmission, points out the case for network transmission code. This paper introduces the influence of patching algorithm, greedy algorithm, elegant patch algorithm and cycle algorithm on streaming media height algorithm. The paper presents research on algorithm of video on demand scheduling by protocol of video on demand and multimedia encoding technology.

Delving into internet streaming media delivery

2006 ◽  
Author(s):  
Lei Guo ◽  
Enhua Tan ◽  
Songqing Chen ◽  
Zhen Xiao ◽  
Oliver Spatscheck ◽  
...  
Keyword(s):  
Streaming Media ◽  
Internet Streaming ◽  
Media Delivery

scholarly journals VIRTUAL ACTIVE NETWORK FOR LIVE STREAMING MEDIA DELIVERY

2007 ◽  
Vol 08 (01) ◽  
pp. 45-74
Author(s):  
WEN-SYAN LI ◽  
DIVYAKANT AGRAWAL ◽  
K. SELÇUK CANDAN ◽  
YUSUF AKCA ◽  
MURAT KANTARCIOGLU
Keyword(s):  
Streaming Media ◽  
Population Distribution ◽  
Cost Effective ◽  
Experimental Results ◽  
Active Network ◽  
Live Streaming ◽  
Data Delivery ◽  
Usage Patterns ◽  
Media Delivery ◽  
Media Data

The large amount of bandwidth and other resources required to deliver streaming media limits the number of concurrent users. We propose a virtual active network (VAN) architecture for streaming media data delivery over wide area networks. In the proposed architecture, cooperating proxies support multiplexing and delivery of live streaming media. The hierarchical delivery structure is dynamically adjusted based on user population distribution, usage patterns, and network conditions. The proposed system architecture provides (1) reliable and high quality live streaming media delivery; (2) lower server resource requirements at the content provider sites; (3) reduced inter-ISP traffic; (4) application level routing for rapid deployment; and (5) cost-effective media data delivery. To deal with one characteristics of live broadcasting events, burst traffic at the beginning of the events, our system features a unique function that dynamically clusters multiple proxy servers to form a server farm to handle a large number of user login events when needed. Experimental results show that the proposed VAN architecture consistently delivers reliable live data streams using resources within 10 percent of the theoretically possible lower bound. The experimental results also show the effectiveness of our load balance algorithms to handle various user patterns, server capacity, and network congestion events.

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