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Multimedia Cloud Computing Wenwu Zhu, Senior Internet Media Microsoft Research Asia Chong Luo, Member of the IEEE Jianfeng Wang, Master.

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Presentation on theme: "Multimedia Cloud Computing Wenwu Zhu, Senior Internet Media Microsoft Research Asia Chong Luo, Member of the IEEE Jianfeng Wang, Master."— Presentation transcript:

1 Multimedia Cloud Computing Wenwu Zhu, Senior Researcher @ Internet Media Group @ Microsoft Research Asia Chong Luo, Member of the IEEE Jianfeng Wang, Master Student in MOE-Microsoft Key Laboratory Shipeng Li, Researcher @ Microsoft Research Asia IEEE SINGAL PROCESSING MAGAZINE, MAY 2011

2 Overview Introduction Related Works Multimedia-aware Cloud Cloud-aware Multimedia Summary Reference 2

3 Overview Introduction Related Works Multimedia-aware Cloud Cloud-aware Multimedia Summary Reference 3

4 Introduction What is and why needs cloud computing? Challenges of multimedia on cloud ◦ Multimedia and service heterogeneity ◦ QoS heterogeneity ◦ Network heterogeneity ◦ Device heterogeneity Multimedia-aware cloud (media cloud) v.s cloud-aware multimedia (cloud media) 4

5 Multimedia on Cloud 5

6 Media Cloud v.s Cloud Media 6

7 Overview Introduction Related Works Multimedia-aware Cloud Cloud-aware Multimedia Summary Reference 7

8 Overview Introduction Related Works Multimedia-aware Cloud Cloud-aware Multimedia Summary Reference 8

9 Multimedia-aware Cloud Media-cloud-computing architecture ◦ Media edge cloud (MEC) architecture Distributed parallel multimedia processing Case study ◦ Photosynth [1] 9

10 MEC Architecture 10 Like CDN [2] edge servers architecture

11 MEC Architecture 11

12 Distributed parallel multimedia processing 12 DHT Load Balancer

13 Case Study - Photosynth 13

14 Case Study - Photosynth Major computation task ◦ Image Conversion ◦ Feature extration ◦ Image matching ◦ Reconstruction User-level parallel synthing in the MEC Task-level parallel synthing in the MEC 14

15 User-level Parallel Synthing 15

16 Task-level Parallel Synthing 16

17 Simulation Result 17

18 Overview Introduction Related Works Multimedia-aware Cloud Cloud-aware Multimedia Summary Reference 18

19 Cloud-aware Multimedia 19

20 Cloud-aware Multimedia Storage and sharing Authoring and mashup Adaptation and delivery Media rendering 20

21 Storage and sharing Advantage ◦ High reliability ◦ High data rate Issues ◦ High bandwidth demand of load balancing algorithms for streaming 21

22 Authoring and Mashup Offline tools ◦ Adobe ◦ Windows Movie Maker Online service ◦ Jaycut  http://www.jaycut.com http://www.jaycut.com XML-based file format 22

23 Authoring and Mashup 23

24 Adaptation and Delivery A large amount of computing Request service simultaneously Example – Cloudcoder ◦ Offload much of the processing to the cloud ◦ Transcoder instances scales up automatically 24

25 Adaptation and Delivery 25

26 Media Rendering A large amount of computing ◦ Fully render ◦ Partially render Multimedia retrieval ◦ Content-based image retrieval (CBIR)  Feature extraction  Similarity measurement 26

27 Media Rendering 27

28 Overview Introduction Related Works Multimedia-aware Cloud Cloud-aware Multimedia Summary Reference 28

29 Summary Media cloud ◦ Propose an MEC-computing architecture to achieve high QoS support for various services. Cloud media ◦ Propose how multimedia service can optimally utilize cloud-computing resources. 29

30 Overview Introduction Related Works Multimedia-aware Cloud Cloud-aware Multimedia Summary Reference 30

31 Reference [1] Photosynth ◦ http://photosynth.net/ http://photosynth.net/ [2] CDN ◦ http://miin1130.pixnet.net/blog/post/26763766 -cdn(content-delivery- network)%E6%87%89%E7%94%A8%E7%B0%A 1%E5%96%AE%E8%AA%AA%E6%98%8E http://miin1130.pixnet.net/blog/post/26763766 -cdn(content-delivery- network)%E6%87%89%E7%94%A8%E7%B0%A 1%E5%96%AE%E8%AA%AA%E6%98%8E 31


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