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- W575215577 abstract "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 video’s 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. Email: {stavros, garth}@cs.cmu.edu This research was partially sponsored by DARPA/ITO through ARPA Order D306, and issued by Indian Head Division, NSWC under contract N00174-96-0002. Stavros Harizopoulos is partially sponsored by a Lilian Voudouri Foundation Fellowship and gratefully acknowledges their support. We are also indebted to the member companies of the Parallel Data Consortium for their generous contributions. At the time of this writing, these companies include EMC Corporation Hewlett-Packard Labs, Hitachi, IBM, Infineon Technologies, Intel Corporation, LSI Logic, Lucent Technologies, Network Appliance, PANASAS, Inc., Platys Communications, Quantum Corporation, Seagate Technology, Sun Microsystems, Veritas Software Corporation and 3Com Corporation. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of any supporting organization or the U.S. Government. PASTENSE: a Fast Start-up Algorithm for Scalable Video Libraries Stavros Harizopoulos and Garth A. Gibson March 2001 CMU-CS-01-105" @default.
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- W575215577 date "2001-01-01" @default.
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- W575215577 title "PASTENSE: a Fast Start-up Algorithm for Scalable Video Libraries (CMU-CS-01-105)" @default.
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