Title :
Sensitivity analysis of availability of video streaming service in cloud computing
Author :
Melo, Rosangela ; Bezerra, Maria Clara ; Dantas, Jamilson ; Matos, Rubens ; Melo, Ivanildo ; Maciel, Paulo
Author_Institution :
Inf. Center, Fed. Univ. of Pernambuco (UFPE), Recife, Brazil
Abstract :
Cloud computing environments provide powerful storage and processing capabilities, as well as other computational resources. Due to the business potential of the pay-peruse model, as well as the advantages of easy scalability, up-to-date Video on Demand (VoD) streaming services rely on cloud infrastructures to offer a wide variety of multimedia content. This paper proposes the application of availability models to a cloud environment designed for a video streaming service. Sensitivity analysis is proposed to identify the availability bottlenecks.
Keywords :
cloud computing; multimedia computing; video on demand; VoD; cloud computing; multimedia content; pay-per-use model; sensitivity analysis; video on demand; video streaming service; Analytical models; Availability; Computational modeling; Computer architecture; Maintenance engineering; Sensitivity analysis; Streaming media; Availability; Markov Chains; Sensitivity analysis; Video Streaming Service;
Conference_Titel :
Performance Computing and Communications Conference (IPCCC), 2014 IEEE International
Conference_Location :
Austin, TX
DOI :
10.1109/PCCC.2014.7017029