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QoS-adaptive service configuration framework for cloud-assisted video surveillance systems

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Abstract

Quality of service (QoS)-adaptive service configuration is crucial for seamless access to video services in cloud-assisted video surveillance systems. To maintain seamless access to video on a user’s preferred device, suitable video transcoding services are needed. It is a challenging task to choose and configure these services for various devices to ensure QoS-adaptive user experiences. To configure these services for the desired user devices, a suitable configuration algorithm is needed. Therefore, this paper describes a QoS-adaptive service configuration approach to choose the optimal configuration for the preferred user devices in varied contexts so that the user can access the services ubiquitously. We implemented a cloud-assisted video surveillance prototype to show how the proposed method can handle ubiquitous access to target video for possible QoS-adaptive and video processing requirements in terms of bandwidth, delay, and frame rates. The results show that the proposed configuration method outperforms the other comparable approaches.

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Acknowledgments

This project was full financially supported by the King Saud University, through Vice Deanship of Research Chairs.

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Authors and Affiliations

  1. Research Chair of Pervasive and Mobile Computing, College of Computer and Information Sciences (CCIS), King Saud University, Riyadh, 11543, Saudi Arabia

    Atif Alamri, M. Shamim Hossain, Ahmad Almogren, Mohammad Mehedi Hassan & Mohammed Zakariah

  2. SwE Department, College of Computer and Information Sciences (CCIS), King Saud University, Riyadh, 11543, Saudi Arabia

    M. Shamim Hossain, Khalid Alnafjan & Abdullah Alghamdi

  3. Department of Electrical Engineering, Kyung Hee University, Dongdaemun, Korea

    Lee Seyam

Authors
  1. Atif Alamri
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  2. M. Shamim Hossain
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  3. Ahmad Almogren
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  4. Mohammad Mehedi Hassan
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  5. Khalid Alnafjan
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  6. Mohammed Zakariah
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  7. Lee Seyam
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  8. Abdullah Alghamdi
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Correspondence to Mohammad Mehedi Hassan.

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Alamri, A., Hossain, M.S., Almogren, A. et al. QoS-adaptive service configuration framework for cloud-assisted video surveillance systems. Multimed Tools Appl 75, 13333–13348 (2016). https://doi.org/10.1007/s11042-015-3074-7

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  • DOI: https://doi.org/10.1007/s11042-015-3074-7

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