scholarly journals Optimal Proxy Cache Allocation for Efficient Streaming Media Distribution

2004 ◽  
Vol 6 (2) ◽  
pp. 366-374 ◽  
Author(s):  
B. Wang ◽  
S. Sen ◽  
M. Adler ◽  
D. Towsley
2005 ◽  
Author(s):  
Zongkai Yang ◽  
Xiaoliang Zhu ◽  
Xu Du ◽  
Wenqing Cheng ◽  
Tung Chou Chun

Author(s):  
Terje Colbjørnsen

Despite there being more than a decade since the introductions of Netflix’ and Spotify’s online services, few attempts have been made to thoroughly examine and conceptualize streaming and streaming services across culture and media industries. The argument proposed here is that streaming constitutes a distinct form of digital media distribution network, what I refer to as the streaming network. The article asks what constitutes the parts or nodes of such a streaming network, and further what the power relationships between the various parts are. The analysis uses Spotify, Apple Music, Netflix, and Kindle Unlimited as examples, building on a wide array of primary and secondary document sources. The analysis contains a stepwise discussion and visualization of how human and nonhuman actors in this streaming network are connected by way of flows of content, data, and money, as well as by relationships of control, access, and exposure. The argument draws on theories of network power, platform power, and algorithmic power. The analysis highlights the asymmetrical relationships between, on the one hand, users and content providers, and on the other, streaming providers and device and software makers. No single actor in the network is able to exercise full control, but users and content originators are seen as particularly vulnerable. Streaming providers and device and software makers are able to maneuver the network to strengthen their relative position.


2003 ◽  
Author(s):  
Dongyan Xu ◽  
Heung-Keung Chai ◽  
Catherine Rosenberg ◽  
Sunil Kulkarni

2014 ◽  
Vol 556-562 ◽  
pp. 5259-5262
Author(s):  
Jin Hai Zhang

With the popularity of the Internet, personal computer performance and network bandwidth continues to increase and the rapidly improving network streaming media applications have become more abundant. Due to the high bandwidth for streaming media have characteristics, traditional methods of C/S can easily cause server performance bottlenecks, introduce the idea of P2P live streaming media service, through normal computer exercise part of the server's functionality, decentralization of services, can effectively reduce the load on the server, as well as local high network bandwidth consumption. Therefore, P2P live streaming media distribution technology is potentially broad application prospects.


2010 ◽  
Vol 171-172 ◽  
pp. 358-363
Author(s):  
Zheng You Liang ◽  
Yi Xuan Tang ◽  
Shuai Chang

Streaming media is an important research direction in internet applications. In this paper, A Smallest Cache Utility algorithm based on Popularity in future (SCU-PK) is proposed. It comprehensively considered the merit of media time popularity and the smallest cache utility algorithm, using the entire file byte usefulness instead of the file segment bytes usefulness, so that a more effective byte usefulness calculation method and a more rational file segment popularity calculation method was designed and implement. The experiments show that the SCU-PK algorithm has better performance in increasing cache space utilization rate and byte hit ratio than LRU, LFU and SCU-PFUT in stream media proxy cache.


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