Prediction-based resource allocation in clouds for media streaming applications

2012 ◽  
Author(s):  
Amr Alasaad ◽  
Kaveh Shafiee ◽  
Sathish Gopalakrishnan ◽  
Victor C.M. Leung
Keyword(s):  
Resource Allocation ◽  
Media Streaming ◽  
Streaming Applications

Innovative Schemes for Resource Allocation in the Cloud for Media Streaming Applications

2015 ◽  
Vol 26 (4) ◽  
pp. 1021-1033 ◽  
Author(s):  
Amr Alasaad ◽  
Kaveh Shafiee ◽  
Hatim M. Behairy ◽  
Victor C.M. Leung
Keyword(s):  
Resource Allocation ◽  
Media Streaming ◽  
Streaming Applications

scholarly journals Performance Model for Media Streaming Bandwidth Allocation using p2p

2020 ◽  
Vol 9 (1) ◽  
pp. 2072-2077
Keyword(s):  
Resource Allocation ◽  
Service Provider ◽  
Bandwidth Allocation ◽  
Linear Time ◽  
Hybrid Approach ◽  
Performance Model ◽  
Internet Service Provider ◽  
Media Streaming ◽  
Internet Service ◽  
Non Linear

Media streaming applications are becoming quite popular in the Internet due to the enhancements that are taking place in Internet Protocol (IP) networks to support the required Quality of Service (QoS) for multimedia applications. However, the centralized data center approach or a single Internet Service Provider (ISP) handling the load on its own is not a feasible solution to support the ever increasing number of users. In other words the conventional way of supplying the media content to the users suffers from scalability problem. This system follows the arrangement of a set of Internet Service Provider (ISP) that collaborate among them to utilize their resources optimally. This helps the content providers and the viewers to provide and view the videos without the bottleneck that may be caused by the centralized approach. Moreover the ISPs follow a non-linear time tariff pattern where it is necessary for the customers to pay a predetermined amount to the ISPs irrespective of the usage pattern. In this approach it is difficult to decide the time and the amount of bandwidth required optimally. However, the non-linear time tariff model permits the discount scheme. Hence this system follows the Prediction Based Resource Allocation (PBRA) algorithm that helps the ISPs to allot the right amount of bandwidth at right time to the content providers. The prediction based resource allocation algorithm and the collaborative approach among the ISPs help the ISPs and media providers to solve the scalability problem. However, a typical pay per use model cannot support any discount scheme. Hence, in this project work a hybrid approach has been followed

Peer-to-Peer Networks

2011 ◽  
pp. 262-294 ◽  
Author(s):  
Hyunggon Park ◽  
Rafit Izhak Ratzin ◽  
Mihaela van der Schaar
Keyword(s):  
Cost Effective ◽  
File Sharing ◽  
Media Streaming ◽  
P2p Networks ◽  
Streaming Applications ◽  
Advantages And Disadvantages ◽  
Peer To Peer Networks ◽  
Game Theoretic ◽  
Art Research ◽  
P2p Applications

P2P applications have become enormously popular and currently take into account a large majority of the traffic transmitted over the Internet. A unique characteristic of P2P networks is their flexible and robust operation, which is enabled by the peers’ ability to serve as both servers and clients. Thus, P2P networks are able to provide a cost effective and easily deployable solution for sharing large files among participating peers with no significant help from a de facto, centralized infrastructure. Due to these advantages, P2P networks have also recently become popular for multimedia streaming. The requirements for general file sharing and real-time media streaming are very different and thus, we discuss in this chapter solutions for both these applications. We begin the chapter with an overview of various P2P network structures and their advantages and disadvantages. We then present in detail the BitTorrent system, which is one of the most popular file sharing protocols. We then overview existing P2P-based media streaming applications, and discuss mechanisms that have been developed to support such applications. We also discuss state-of-the-art research in P2P networks which is based on several game theoretic approaches.

Enriching Viewer Options in P2P Media Streaming Applications

2009 ◽  
Author(s):  
Jian Wang ◽  
Ruimin Shen ◽  
Heng Luo ◽  
Changyong Niu ◽  
Liping Shen
Keyword(s):  
Media Streaming ◽  
Streaming Applications

Resource allocation technique for video streaming applications in the LTE system

2010 ◽  
Author(s):  
Huda Adibah Mohd Ramli ◽  
Kumbesan Sandrasegaran ◽  
Riyaj Basukala ◽  
Rachod Patachaianand ◽  
Minjie Xue ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Video Streaming ◽  
Streaming Applications

The Application Level Multicast Technique Algorithms Oriented to P2P Video

2013 ◽  
Vol 303-306 ◽  
pp. 2260-2264
Author(s):  
Zhi Ye Huang ◽  
Jin Xiang Peng ◽  
Jian Zhang
Keyword(s):  
Hierarchical Clustering ◽  
Incentive Mechanism ◽  
Video Stream ◽  
Multicast Tree ◽  
Media Streaming ◽  
Video Server ◽  
New Model ◽  
Research Results ◽  
Streaming Applications ◽  
Application Level Multicast

Firstly challenges in P2P media streaming applications were pointed out, then some recent research results such as application-level multicast tree, heterogeneity of network and incentive mechanism and so on were introduced. This paper has proposed a new model of application level multicast named DHCM (density-based hierarchical clustering multicast)which has improved IHC arithmetic．DHCM divides the hosts into many hierarchies according to their density，and constructs a density tree to realize the shortest routing．The tree delivers the content of video server to each host in density tree and uses a P2P scheme in data transmission．By this way the application-level multicast has been realized．This density tree has the homogeneity and monotonic properties．The experiment result has proved that DHCM can transmit the video stream efficiently and robustly.

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