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Relevant Projects, K' Selcuk Candan

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Quality-Aware Object Replication. Quality-Adaptive Media-Flow Architectures for Sensor Data Management. NEC ... Response does not meet quality expectation ... – PowerPoint PPT presentation

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Title: Relevant Projects, K' Selcuk Candan


1
Relevant Projects, K. Selcuk Candan
  • NSF
  • Quality-Aware Object Replication
  • Quality-Adaptive Media-Flow Architectures for
    Sensor Data Management
  • NEC
  • CachePortal dynamic content acceleration (or
    improved Web content freshness)
  • Other relevant interest
  • Cost-/Quality-based Query Optimization

2
Quality and Freshness Sensitive Object Replication
  • K. Selçuk Candan
  • ASU-CSE

3
Observations
  • Maintaining service quality (delivering value)
  • freshness and reliability
  • is essential Gartner.
  • Response time (recognition reaction) is
    essential for service differentiation
  • the 7 second rule for the Web Gina Research.
  • stronger intimacy and greater relevance to
    customer Gartner

4
Data Quality on the Internet??
  • How can we bring
  • the right information
  • to the right person
  • fresh???

5
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6
Observations
  • Most content is dynamically generated or
    assembled.
  • database driven.

7
Freshness and quality
  • Freshness timeliness of data presented to the
    user
  • Users have freshness expectations
  • Requests specify minimum freshness level
  • User unhappy if expectation not met
  • Freshness response quality

8
Server Load
  • Replica DBMS updateread load becomes bottleneck

Updates
Requests
9
Quality Levels
  • Applications have many service quality levels
  • Ex. Stock quote service, e-commerce, news
  • Quality level depends on update frequency of the
    DB

Request from market professional
Request from casual investor
Response does not meet quality expectation
Response meets quality expectation
DB update frequency keeps quotes within 20
minutes of current
10
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11
Fairness
  • Each server should experience a load proportional
    to its contribution to the systems total
    capacity.
  • Request load
  • Update load
  • This requires
  • a good assignment of objects to servers and
  • tightly coupled update/request scheduling
  • effective strategies for redirecting
    user-requests.

12
ARIA Quality-Adaptive Media-Flow Architectures
for Sensor DataManagement
13
Goal
  • Develop a novel
  • quality-adaptive
  • real-time
  • media-flow architecture to support
  • sensory/reactive environments.


14
Application/Impact
15
(No Transcript)
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