PASTENSE: A Fast Start-up Algorithm for Scalable Video Libraries
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE
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Striping video clip data over many physical resources typically disk drives balances video server load with less data replication. Current striped video delivery algorithms can have high start-up latency if the load is high. We propose a new, fast start-up algorithm, PASTENSE. This algorithm minimizes start-up latency by using aggressive prefetching to exploit disk idle time, and using available RAM to dynamically optimize the newly requested videos schedule. Our proposed method a does not require changes in the existing striped data placement b it never performs worse than alternate designs and c it achieves significant benefits up to 9 times faster start-up times for high loads.
- Numerical Mathematics
- Radio Communications