Abstract
One of the important components of video-on-demand (VOD) systems is the hybrid storage server. This component consists of use hard disk drives (HDDs), solid-state drives (SSDs), and RAM, collectively fulfilling the requirement of simultaneous fast data access and large data distribution to numerous users. However, current hybrid storage systems still pose numerous challenges. The integration and roles of the HDD, SSD, and RAM are relatively weak in terms of optimizing fast access prior to streaming to a large number of simultaneous users. The HDD and SSD exhibit poor data layout and streaming controller in supporting the production of a high number of simultaneous streams. This paper proposes (1) the flash cache hybrid storage system (FCHSS) VOD servers. The FCHSS architecture has no RAM, which is removed and replaced by a flash-based SSD. (2) The new data layout stores thousands of video segments in the HDD and SSD. The streaming management scheme, namely, flash cache-data streaming controller (FC-DSC), is also proposed to support FCHSS. The proposed VOD server-based FCHSS with the FC-DSC shows a 73.53% and 23.71% enhancement in average total response time, and a 35.63% and 298.91% enhancement in throughputs for all request sizes compared with the average of the total response time and throughputs of the hybrid storage system HSS VOD server- and the VOD server-based feedback-based adaptive data migration (FADM).
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References
Al-wesabi, O.A., Sumari, P., Al-wesabi, M.A.: Proxy caching strategies for multimedia distribution. Int. J. Adv. Comput. Technol.(IJACT) 8(2), 74–87 (2016)
Al-wesabi, O.A., Abdullah, N., Sumari, P.: Data stream management system : for video on demand hybrid storage server. Int. J. Intell. Syst. Technol. Appl. (IJISTA) 18(5), 470–493 (2019)
Al-wesabi, O.A., Sumari, P., Al-wesabi, M.A.: Efficient architecture for large-scale video on demand storage server. In: International Conference on Control Systems, Computing and Engineering (ICCSCE), pp. 395–400. IEEE (2015)
Al-wesabi, O.A., Sumari, P.: Streaming management scheme for hybrid storage video on demand server. Adv. Sci. Lett. 22(10), 2695–2699 (2016)
Al-wesabi, O.A., Sumari, P.: Hybrid storage architecture for video on demand server. In: 4th International Conference on Software Engineering and Computer Systems (ICSECS), Malaysia, pp. 6–10. IEEE, Kuantan (2015)
Al-wesabi, O.A., Abdullah, N., Sumari, P.: On the design of video on demand server-based hybrid storage system. In: Recent Trends in Information and Communication Technology. IRICT 2017, Lecture Notes on Data Engineering and Communications Technologies, vol. 5, pp. 306–315. Springer, Heidelberg (2017)
Ling, Q., Xu, L., Yan, J., Zhang, Y., Li, F.: A Feedback-based adaptive data migration method for hybrid storage VOD caching systems. Multimedia Tools Appl. 75(1), 165–180 (2016)
Xu, K., Liu, X., Ma, Z., Zhong, Y., Chen, W.: Exploring the policy selection of the P2P VoD system: a simulation-based research. Peer-to-Peer Netw. Appl. 8(3), 459–473 (2015)
Ma, C., Yan, Z., Chen, C.W.: Forecasting initial popularity of just-uploaded user-generated videos. In: International Conference on Image Processing (ICIP), pp. 474–478. IEEE (2016)
Oh, Y., Choi, J., Lee, D., Noh, S.H.: Caching less for better performance: balancing cache size and update cost of flash memory cache in hybrid storage systems. In: Proceedings of the 10th USENIX Conference on File and Storage Technologies (FAST), vol. 12, San Jose, CA, USA (2012)
Kan, L.V., Jang, Y.H.: U.S. Patent Application No. 15/631,773 (2018)
Hachiya, S., Johguchi, K., Miyaji, K., Takeuchi, K.: Hybrid triple-level-cell/multi-level-cell NAND flash storage array with Chip Exchangeable Method. Jpn. J. Appl. Phys. 53(4S), 04EE04 (2014)
Wu, Q.M., Xie, K., Zhu, M.F., Xiao, L.M., Ruan, L.: DMFSsim: a distributed metadata file system simulator. Appl. Mech. Mater. 241, 1556–1561 (2013)
Yin, S., Li, X., Li, K., Huang, J., Ruan, X., Zhu, X., Cao, W., Qin, X.: REED: a reliaenergy-efficient RAID. In: 44th International Conference on Parallel Processing (ICPP), Beijing, China, pp. 649–658. IEEE (2015)
Uyangoda, L., Ahangama, S., Ranasinghe, T.: User profile feature-based approach to address the cold start problem in collaborative filtering for personalized movie recommendation. arXiv preprint arXiv:1906.00365 (2019)
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Al-wesabi, O.A., Abdullah, N., Sumari, P. (2020). Hybrid Storage Management Method for Video-on-Demand Server. In: Saeed, F., Mohammed, F., Gazem, N. (eds) Emerging Trends in Intelligent Computing and Informatics. IRICT 2019. Advances in Intelligent Systems and Computing, vol 1073. Springer, Cham. https://doi.org/10.1007/978-3-030-33582-3_65
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DOI: https://doi.org/10.1007/978-3-030-33582-3_65
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