loopback: exploiting collaborative caches for large-scale streaming ewa kusmierek, yingfei dong,...
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Loopback: Exploiting Collaborative Cachesfor Large-Scale Streaming
Ewa Kusmierek, Yingfei Dong, Member, IEEE, and David H. C. Du, Fellow, IEEE
Outline
Abstract Related work Client collaboration with loopback Loopback analytical model Local repair mechanism enhancing
reliability Conclusion and future work
Abstract(1/2) Two-level streaming architecture
content delivery network(CDN) to deliver video from central server to proxy servers.
Proxy server delivers video with the help of client caches.
Design Feature Loopback approach Local repair scheme
Abstract(2/2)
Objective Reduce the required network bandwidth Reduce load of central server Reduce cache space of a proxy Address client failure problem
Outline
Abstract Related work Client collaboration with loopback Loopback analytical model Local repair mechanism enhancing
reliability Conclusion and future work
Related work P2Cast:
A session is formed by clients arriving close in time.
Application-level forwarding tree.
Server
peer peerpeer
peerpeer
Related work CDN-P2P hybrid architecture:
Divide data into fractions A Client may receive video stream from multiple
peers, A client need to cache an entire video Client needs to caches an entire video
server
peerpeer peer
Outline
Abstract Related work Client collaboration with loopback Loopback analytical model Local repair mechanism enhancing
reliability Conclusion and future work
Basic assumption for client
Each client dynamically caches a portion of a video and storage space is limited
Client delivers only one stream at a time only during its own video playback and for a short period of time after the playback ends
Client may fail or choose to leave while delivering the video data to its peers.
Basic assumption for proxy
Storage space is limited. Bandwidth is limited. The prefix of a video is cached by
proxy server.
Forwarding Ring(1/3)
Clients arriving close to each other in time form a forwarding ring First client receiving data from a proxy. Last client returning data to the proxy.
First client receives the video prefix from the proxy and the remaining portion of a video from the central server
Forwarding Ring(2/3)
Next client join on time: Streamed to the newcomer.
The frames that have been already transmitted are removed from the
buffer. If next request arrive not in time
Oldest frames are passed back to the proxy and evicted from the buffer.
The late newcomer starts a new loop.
Forwarding Ring(3/3)
Proxy does not maintain a copy of a frame after transmitting to a client.
If the demand is high: There are few long loops containing many
clients. The entire video may be cached by the
clients. Proxy only need to forward one stream
to each loop and receive one stream from each loop
Outline
Abstract Related work Client collaboration with loopback Loopback analytical model Local repair mechanism enhancing
reliability Conclusion and future work
Loopback analytical model Analyze the resource usage at the
proxy and the central server load due to a single video under a given client arrival process.
Notation definition: :buffer size at each client :arrival time of the i’ th client. :storage space of the proxy( 0< <1)
Outline
Abstract Related work Client collaboration with loopback Loopback analytical model Local repair mechanism enhancing
reliability Conclusion and future work
Client failure effect: Loss data has to be obtained from central server,
incurring delays. May affect succeeding clients in a loop. The higher the demand, the larger the influence
of a failure on the performance Address this issue with redundant caching
schemes. significantly reduces server load shortens the repairing delay caused by
transmitting missing data
Outline Abstract Related work Client collaboration with loopback Loopback analytical model Loopback performance for multiple videos Local repair mechanism enhancing
reliability Conclusion and future work
Conclusion Loopback mechanism for exploiting client collaboration in a two-level
video streaming architecture. Improve resource usage
Server Network bandwidth and I/O bandwidth Proxy Network bandwidth and I/O bandwidth Proxy storage space
Analyze the effect of client failures and developed local repair approaches
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