High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities

Smart cities allow cities to run more efficiently and have been approved by a lot of cities. During the process of building smart cities, a large amount of data is generated. Particularly, live sports events have been regarded as the inalienable part of smart cities. However, with the improvement in...

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Main Authors: Si Chen, Gang Zhao
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2021/9958703
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spelling doaj-558210c980c841649759a3a368ffb7532021-07-02T13:47:32ZengHindawi LimitedMobile Information Systems1875-905X2021-01-01202110.1155/2021/9958703High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart CitiesSi Chen0Gang Zhao1Shenzhen UniversityShenzhen UniversitySmart cities allow cities to run more efficiently and have been approved by a lot of cities. During the process of building smart cities, a large amount of data is generated. Particularly, live sports events have been regarded as the inalienable part of smart cities. However, with the improvement in the quality of life, people tend to obtain better watching experience in terms of sports events. For such purpose, this paper proposes the live streaming transmission optimization method based on high-performance server, called HPTO, including two main modules, that is, high-performance server optimization and transmission optimization. Specifically, for the server optimization, this paper devises a distributed storage strategy to avoid producing the internal disk fragments and improve the writing efficiency of sports videos. For the transmission optimization, this paper devises a deep-learning-based video compression strategy to save the storage space of server and accelerate the transmission of sports videos. In addition, this paper makes simulation experiments based on PyCharm. The experimental results show that HPTO has higher storage efficiency, smaller transmission time, and lower packet loss rate than benchmarks, which indicates that the proposed two aspects of optimization strategies (server optimization and transmission optimization) are efficient.http://dx.doi.org/10.1155/2021/9958703
collection DOAJ
language English
format Article
sources DOAJ
author Si Chen
Gang Zhao
spellingShingle Si Chen
Gang Zhao
High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities
Mobile Information Systems
author_facet Si Chen
Gang Zhao
author_sort Si Chen
title High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities
title_short High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities
title_full High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities
title_fullStr High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities
title_full_unstemmed High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities
title_sort high-performance server-based live streaming transmission optimization for sports events in smart cities
publisher Hindawi Limited
series Mobile Information Systems
issn 1875-905X
publishDate 2021-01-01
description Smart cities allow cities to run more efficiently and have been approved by a lot of cities. During the process of building smart cities, a large amount of data is generated. Particularly, live sports events have been regarded as the inalienable part of smart cities. However, with the improvement in the quality of life, people tend to obtain better watching experience in terms of sports events. For such purpose, this paper proposes the live streaming transmission optimization method based on high-performance server, called HPTO, including two main modules, that is, high-performance server optimization and transmission optimization. Specifically, for the server optimization, this paper devises a distributed storage strategy to avoid producing the internal disk fragments and improve the writing efficiency of sports videos. For the transmission optimization, this paper devises a deep-learning-based video compression strategy to save the storage space of server and accelerate the transmission of sports videos. In addition, this paper makes simulation experiments based on PyCharm. The experimental results show that HPTO has higher storage efficiency, smaller transmission time, and lower packet loss rate than benchmarks, which indicates that the proposed two aspects of optimization strategies (server optimization and transmission optimization) are efficient.
url http://dx.doi.org/10.1155/2021/9958703
work_keys_str_mv AT sichen highperformanceserverbasedlivestreamingtransmissionoptimizationforsportseventsinsmartcities
AT gangzhao highperformanceserverbasedlivestreamingtransmissionoptimizationforsportseventsinsmartcities
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