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A comparison of alternative continuous display techniques with heterogeneous multi-zone disks
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Source Conference on Information and Knowledge Management archive
Proceedings of the eighth international conference on Information and knowledge management table of contents
Kansas City, Missouri, United States
Pages: 442 - 449  
Year of Publication: 1999
ISBN:1-58113-146-1
Authors
Shahram Ghandeharizadeh  Department of Computer Science, University of Southern California, Los Angeles, California
Seon Ho Kim  Department of Computer Science, University of Southern California, Los Angeles, California
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGIR: ACM Special Interest Group on Information Retrieval
SIGMIS: ACM Special Interest Group on Management Information Systems
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 16,   Citation Count: 1
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ABSTRACT

A number of recent technological trends have made data intensive applications such as continuous media (audio and video) servers a reality. These servers are expected to play an important role in applications such as video-on-demand, digital library, news-on-demand, distance learning, etc. Continuous media applications are data intensive and might require storage subsystems that consist of hundreds of (multi-zone) disk drives. With the current technological trends, a homogeneous disk subsystem might evolve to consist of a heterogeneous collection of disk drives. Given such a storage subsystem, the system must continue to support a hiccup-free display of audio and video clips. This study describes extensions of four continuous display techniques for multi-zone disk drives to a heterogeneous platform. These techniques include IBM's Logical Track [21], HP's Track Pairing [4], and USC's FIXB [9] and deadline driven techniques [10]. We quantify the performance tradeoff associated with these techniques using analytical models and simulation studies. The obtained results demonstrate tradeoffs between the cost per simultaneous stream supported by a technique, the wasted disk space, and the incurred startup latency.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Shahram Ghandeharizadeh: colleagues
Seon Ho Kim: colleagues