Cost-Efficient and Robust On-Demand Video Transcoding Using Heterogeneous Cloud Services

• Published in: IEEE transactions on parallel and distributed systems Vol. 29; no. 3; pp. 556 - 571
• Main Authors: Li, Xiangbo, Salehi, Mohsen Amini, Bayoumi, Magdy, Tzeng, Nian-Feng, Buyya, Rajkumar
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Affinity; Cloud computing; Cloud services; Clusters; Computer simulation; Delays; Display devices; heterogeneous VM provisioning; On-demand video transcoding; QoS-aware scheduling; Quality of service; Quality of service architectures; Robustness; Spatial resolution; Streaming media; Task scheduling; Transcoding; Video data; Video on demand; Video transmission; Virtual environments; Workload; Workloads

Video streams, either in the form of Video On-Demand (VOD) or live streaming, usually have to be converted (i.e., transcoded) to match the characteristics of viewers' devices (e.g., in terms of spatial resolution or supported formats). Transcoding is a computationally expensive and time-consumi...