Performance Analysis and Monitoring of Volatile

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Performance Analysis and Monitoring of Volatile
Xingfu Wu, Valerie Taylor Department of Computer
Science Texas AM University Third Annual
Workshop on OptIPuter Networing/Backplane
Architecture UCSD, January 25, 2005
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Network Configuration
OPT1 (10.10.1.1)
Optiputer
OPT2 (10.10.1.2)
eth110.10.1.6
eth0 128.194.142.24
Internet cs.tamu.edu
OPT3 (10.10.1.3)
Gigabit Switch (10.0.0.1)
OPT4 (10.10.1.4)
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Snapshot of Volatile on 5-nodes
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Three Components of Volatile

• Volvis main program
• Rendering
• Scalable displaying
• User interaction
• Optistore data server
• Assist visualization dataset handling such as
  data management, processing, representation and
  transport
• Filter raw volumetric data and produce visual
  objects
• Transfer Function Editor (tfUI)
• User interface for transfer function selection

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Different Access Scenarios
Client1
Volvis
Gigabit Network
Optistore
Client2
Volvis
Master Server
Volvis
tfUI
Optistore
Optistore
Client3
Volvis
Optistore
Client4
Volvis
Optistore
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Different Access Scenarios
Scenario 3
Gigabit Network
Master
tfUI
Volvis
Optistore
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Raw Datasets
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Data access time
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Comparison of three scenarios
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Comparison of three scenarios
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Snapshot of Performance Monitoring
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Short-term Plans

• Port the instrumented Volatile to a large-scale
  optiputer testbed for analysis (3/2005)
• Analyze the performance of JuxtaView and
  LambdaRam applications (6/2005)
• Where possible, develop models of data accesses
  for the different visualization applications
  (9/2005)
• Continue collaborating with Jasons group about
  viz applications (12/2005)

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Long-term Plans

• Year 3
• Continue with analyzing Volatile on large-scale
  OptIPuter testbed
• Work with Jason and Luc on redesigning Volatile
• Start working on JuxtaView and LambdaRam
• Year 4
• Work with new Volatile, LambdaRam, JuxtaView on
  large-scale OptIPuter testbed
• Where possible, develop models of data accesses
  for different viz applications
• Year 5
• Continue collaborating with Jasons group about
  viz applications
• Integrate performance monitoring with software
  stack to aid in making performance directed
  decisions