Asynchronous Service Analysis of Cloud DVR DataCenter

Author

Zhen Zhao

Author_Institution

Comcast Interative Media, Comcast-NBC Universal, Philadelphia, PA, USA

fYear

2014

fDate

June 27 2014-July 2 2014

Firstpage

776

Lastpage

777

Abstract

Currently, the primary legal interpretation approving cloud DVR in cablevision decision relies on individual copies for each video recorded. This means every recorded video in the cloud needs its own copy in the data center. With totally 20 billions of videos available to around 50 millions subscribers, how to manage and store the big data efficiently is required for the datacenter. In this paper, an asynchronous service system with categorizing users by cloud DVR usage is proposed for this purpose. In this system, cloud DVRs with similar requests are constructed in one cluster. The cloud recording service on this cluster becomes idle after a while of no requests. New arriving requests are buffered when the service wakes up. Cloud DVRs accept two requests: cable video recording and Internet video recording. Besides proposing the architecture, we also present the challenges that have to be solved before this strategies could be applied in industries.

Keywords

Big Data; cloud computing; computer centres; storage management; video recording; Internet video recording; asynchronous service system; big data management; big data storage; cable video recording; cablevision decision; cloud DVR datacenter; cloud DVR usage; cloud recording service; legal interpretation; Cable TV; Cloud computing; Numerical models; Servers; Streaming media; Asynchronous Service; Cloud DVR; Comcast;

fLanguage

English

Publisher

ieee

Conference_Titel

Big Data (BigData Congress), 2014 IEEE International Congress on

Conference_Location

Anchorage, AK

Print_ISBN

978-1-4799-5056-0

Type

conf

DOI

10.1109/BigData.Congress.2014.118

Filename

6906862