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Multimedia Storage Management
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Sunil Prabhakar
Assistant Professor
Department of Computer Sciences
Purdue University
Researchers
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W. Aref (CS)
 A. Elmagarmid (CS)
 A. Ghafoor (ECE)
 R. L. Kashyap (ECE)
 M. Khan (ECE)
 S. Prabhakar (CS)
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On-Going Research Projects for
Multimedia Storage Management
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Efficient image storage
• Disk placement schemes
Tertiary storage management
• I/O scheduling and reliability for robotic
libraries
Multimedia document management
• Document placement techniques
• I/O management
Goal: improved performance
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Image Placement for
Multiresolution Browsing
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Images decomposed into multiple resolutions
using wavelets
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Image Placement on Disks
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Content-based retrieval using browsing
graphs or quantitative measures
 Multidimensional data declustering for
similarity queries
 Designed and evaluated (through
simulation and implementation) several
efficient disk placement schemes
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Tertiary Storage Management
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Scheduling and reliability for tertiary
storage are critical issues. These issues
arise due to high latency and rapid tape
wear-out
 Most scheduling work has focussed on
single medium scheduling
 Work on reliability has been limited to
mirroring or RAIT
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Research Results for Tertiary
Storage Management
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Scheduling
• Developed scheduling algorithms
– Optimal for single drive libraries
– Near-optimal for multiple drive libraries
• Significant improvement over FCFS
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Tape reliability
• Tape Group Parity Protection
– Lower storage overhead than mirroring
– Better performance than RAIT
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Challenges for Multimedia
Document Placement
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Mixed media storage (audio, video, text,
images)
Mixed media data placement techniques
• Statistical techniques using access patterns
• Document striping across multiple disks
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Document clustering and allocation
techniques for parallel disk arrays and
clusters of networked servers
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Multimedia Browsing Graph
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Abomasum
Omasum
Reticulum
Protozoa
Esophagus
Text
Rumen
Audio
Text
Image
Stomach
Text
Image
Digestive System
Small Intestine
Salivary Glands
Large Intestine
Text
Video
Audio
Image
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I/O Management Issues
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I/O channels between various levels of
the storage hierarchy are limited
resources
 To ensure QoS at run-time intelligent
I/O channel allocation schemes are
needed.
 Document profiles can be utilized for
dynamic I/O channel allocation
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Document Bandwidth Profile
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Bandwidth
Exit
MICROBIAL
FERMENTATION:
Omasum
Abomasum
Microbial fermentation is an
anaerobic process
Reticulum
Esophagus
Protozoa
Rumen
Stomach
Digestive System
Small Intestine
Salivary Glands
Large Intestine
Time
Microbes live in a symbiotic
existence with the host (e.g.
Cow)
Microbes do not have
complete TCA cycle, volatile
fatty acids (VFA) are
byproducts of their anaerobic
Multimedia Browsing Graph
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Related Work
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• Chabot (UC Berkeley)
• QBIC (IBM)
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Multimedia storage
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Fellini (Lucent)
Mitra (USC)
IBM (Phillip Yu et al)
NASD
Streaming RAID (Tobagi et al)
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Planned Multi-Level Storage
Architecture Environments
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Parallel Disk Array Architecture
Clustered Server Architecture
Cluster
RAID
Multimedia
Document
Profiles &
Traces
Tertiary Storage
Multimedia
Document
Profiles &
Traces
Tertiary Storage
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Experiments for Multi-Level Storage
Architecture Environments
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Objective: Comparison between the two
environments in terms of QoS
guarantees
• Real-time scheduling
• Multimedia data placement schemes at
different levels of the storage hierarchy
• I/O channel management
• Reliability
• Scalability
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