Adaptive QoS for ServiceOriented Learning Environments

1
Adaptive QoS for Service-Oriented Learning
Environments

• Colin Allison, Martin Bateman, Ross Nicoll and
  Alan Ruddle

School of Computer Science University of St
Andrews mb_at_dcs.st-and.ac.uk
2
Overview

• Identify goals of Collaborative Learning
  Environments
• Educational goals -gt QoS requirements
• How to meet QoS requirements
• Example Finesse Learning environment
• Conclusions

3
Pedagogical Goals

• Collaboration
• Synchronous
• video
• audio
• Asynchronous
• notebooks
• instant messenger
• Ubiquitous heterogeneous
• Network
• Device
• Experiential and Active Learning
• Realism Live data

4
Finesse

• Finance Education in a Scalable Environment
• Supports teaching of fund management
• Virtual portfolios at the core
• Inspect historic data
• Buy/sell shares
• Try to make a profit
• Notebook for asynchronous collaboration

5
Finesse
6
Pedagogical aspects of Finesse

• Asynchronous
• Ubiquitous 100 web
• Realism London Stock Exchange
• Experiential

7
Finesse To add

• Re-engineer to be GSDL based
• Synchronous communications
• Video conferencing
• Synchronous groupware
• Device independence

8
QoS Aspects

• User perception
• Responsive
• Timely
• Looks good
• Easy to use

• Network
• Low delay
• Low jitter
• High bandwidth
• Low packet loss

9
QoS Timeliness Responsiveness
10
What does the Grid bring

• Common infrastructure
• OGSA, WSDL, UDDI, etc
• Component sharing
• Dynamic Service Composition
• QoS based service discovery

Registry
1
2
Service Requester
3
Service Provider
11
FiGS Finesse Grid Services
Browser
User
Web Servlets
GS Manager
GS Notebook
Video
GS Conferencing
Application
GS Portfolio
Video
GS Stock Data Source 1
Phone
GS Stock Data Source 2
VoiceML
Finesse Services
Grid Services
12
Internet QoS Approaches

• Resource Reservation
• Eg IntServ
• Aggregate flows
• Eg DiffServ
• Adaptive
• Best effort
• Eg most applications

Increasing Infrastructure
13
Adaptive QoS Provision

• Past network conditions -gt statistics
• Active RTP/RTCP traffic
• Passive Traffic monitoring
• Estimate likely network path conditions
• Temporal spatial patterns in traffic
• Inform application at start
• Application adapts to changes

14
Location Information Server
15
Conference Controller Architecture for Video
Conferencing
16
Adaptive QoS Advantages

• Network edge deployment
• Under your administrative control
• Manageable traffic rates
• Learns from traffic
• Sharing traffic knowledge
• Utilises session knowledge
• Duration, number of participants, type

17
Example Conference Configuration
18
Conclusions

• Collaborative Learning Environment
• Achieve pedagogical goals
• Pedagogical goals -gt QoS requirements
• Architecture for Adaptive QoS
• Deployable now

19
Questions?
20
Traffic Patterns
Research
Home