Performance Model for Media Streaming Bandwidth Allocation using p2p
K.Saranya1, S.S.Rajasekar2, C.Ramesh3, M.Alamelu4
1K.Saranya*, Assistant professor/Department of Computer Science and Engineering, Bannari Amman institute of technology, sathyamangalam.
2S.S.Rajasekar, Assistant professor/Department of Computer Science and Engineering, Bannari Amman institute of technology, sathyamangalam.
3C.Ramesh, Associate professor/Department of Computer Technology, Bannari Amman institute of technology, sathyamangalam.
4M.Alamelu, Assistant professor/ Department of Computer Science and Engineering, Bannari Amman institute of technology, sathyamangalam.
Manuscript received on April 30, 2020. | Revised Manuscript received on May 06, 2020. | Manuscript published on May 30, 2020. | PP: 2072-2077 | Volume-9 Issue-1, May 2020. | Retrieval Number: F2359037619/2020©BEIESP | DOI: 10.35940/ijrte.F2359.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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
Keywords: Media streaming, Internet service provider, Resource allocation.
Scope of the Article: Internet service provider