Evaluation of an Adaptive Multimedia Streaming in Mobile Cloud Computing for Slow-Speed Networks
Multimedia cloud (MC) is an aspect of cloud computing that facilitates the effective use of multimedia services by end users in the context of cloud infrastructures. Despite rising network traffic, cloud computing technology provides novel strategies for disseminating visual content; adaptive encod...
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| Format: | Article |
| Language: | English |
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Nigerian Society of Physical Sciences
2023-06-01
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| Series: | African Scientific Reports |
| Subjects: | |
| Online Access: | https://asr.nsps.org.ng/index.php/asr/article/view/100 |
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| _version_ | 1849420990563483648 |
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| author | Oluwafolake Ojo Olufunke Oyinloye Alaba Adejimi Tobiloba Adejumo |
| author_facet | Oluwafolake Ojo Olufunke Oyinloye Alaba Adejimi Tobiloba Adejumo |
| author_sort | Oluwafolake Ojo |
| collection | DOAJ |
| description |
Multimedia cloud (MC) is an aspect of cloud computing that facilitates the effective use of multimedia services by end users in the context of cloud infrastructures. Despite rising network traffic, cloud computing technology provides novel strategies for disseminating visual content; adaptive encoding is implemented at the cloud server to optimise performance. However, streaming video over the Internet has caused a slew of problems, including sporadic interruptions, delays, inadequate bandwidth, and oscillating link conditions, all of which contribute to poor quality of service (QoS). This study presents an adaptable streaming method to grapple with delays, sporadic interruptions, and bandwidth alterations. The adaption logic concept was used to develop the scheme, which was then put into practice utilising the Java programming language and cloud computing. A variety of network circumstances were used to test the method using pre-recorded video sequences that were separated into chunks with fewer frames. The evaluation findings showed that the suggested streaming technique can dynamically adapt to different bandwidth changes, making it ideal for slow-speed network situations. The system is also capable of delivering seamless, interruption-free video playback.
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| format | Article |
| id | doaj-art-435eab97e56446fe8542dd1840949b20 |
| institution | Kabale University |
| issn | 2955-1625 2955-1617 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Nigerian Society of Physical Sciences |
| record_format | Article |
| series | African Scientific Reports |
| spelling | doaj-art-435eab97e56446fe8542dd1840949b202025-08-20T03:31:34ZengNigerian Society of Physical SciencesAfrican Scientific Reports2955-16252955-16172023-06-012210.46481/asr.2023.2.2.100100Evaluation of an Adaptive Multimedia Streaming in Mobile Cloud Computing for Slow-Speed NetworksOluwafolake OjoOlufunke OyinloyeAlaba AdejimiTobiloba Adejumo Multimedia cloud (MC) is an aspect of cloud computing that facilitates the effective use of multimedia services by end users in the context of cloud infrastructures. Despite rising network traffic, cloud computing technology provides novel strategies for disseminating visual content; adaptive encoding is implemented at the cloud server to optimise performance. However, streaming video over the Internet has caused a slew of problems, including sporadic interruptions, delays, inadequate bandwidth, and oscillating link conditions, all of which contribute to poor quality of service (QoS). This study presents an adaptable streaming method to grapple with delays, sporadic interruptions, and bandwidth alterations. The adaption logic concept was used to develop the scheme, which was then put into practice utilising the Java programming language and cloud computing. A variety of network circumstances were used to test the method using pre-recorded video sequences that were separated into chunks with fewer frames. The evaluation findings showed that the suggested streaming technique can dynamically adapt to different bandwidth changes, making it ideal for slow-speed network situations. The system is also capable of delivering seamless, interruption-free video playback. https://asr.nsps.org.ng/index.php/asr/article/view/100Multimedia cloudVideo StreamingDASHXenplayer |
| spellingShingle | Oluwafolake Ojo Olufunke Oyinloye Alaba Adejimi Tobiloba Adejumo Evaluation of an Adaptive Multimedia Streaming in Mobile Cloud Computing for Slow-Speed Networks African Scientific Reports Multimedia cloud Video Streaming DASH Xenplayer |
| title | Evaluation of an Adaptive Multimedia Streaming in Mobile Cloud Computing for Slow-Speed Networks |
| title_full | Evaluation of an Adaptive Multimedia Streaming in Mobile Cloud Computing for Slow-Speed Networks |
| title_fullStr | Evaluation of an Adaptive Multimedia Streaming in Mobile Cloud Computing for Slow-Speed Networks |
| title_full_unstemmed | Evaluation of an Adaptive Multimedia Streaming in Mobile Cloud Computing for Slow-Speed Networks |
| title_short | Evaluation of an Adaptive Multimedia Streaming in Mobile Cloud Computing for Slow-Speed Networks |
| title_sort | evaluation of an adaptive multimedia streaming in mobile cloud computing for slow speed networks |
| topic | Multimedia cloud Video Streaming DASH Xenplayer |
| url | https://asr.nsps.org.ng/index.php/asr/article/view/100 |
| work_keys_str_mv | AT oluwafolakeojo evaluationofanadaptivemultimediastreaminginmobilecloudcomputingforslowspeednetworks AT olufunkeoyinloye evaluationofanadaptivemultimediastreaminginmobilecloudcomputingforslowspeednetworks AT alabaadejimi evaluationofanadaptivemultimediastreaminginmobilecloudcomputingforslowspeednetworks AT tobilobaadejumo evaluationofanadaptivemultimediastreaminginmobilecloudcomputingforslowspeednetworks |