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USI SCUBE Associate Member

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•
C
Cesare Pautasso

Introduction of USI at the SCUBE global meeting in Pisa, 2.3.2010

TechnologyBusiness
1 of 16
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[object Object],[object Object],[object Object],[object Object],[object Object],University of Lugano (USI), Switzerland
University of Lugano (USI), Switzerland
My Research Interests Web 2.0 Mashups Autonomic Computing Business Process Management Scientific Workflow Management Service Oriented Architectures Software Composition Cesare Pautasso
[object Object],[object Object],Our Contributions to S-CUBE
[object Object],[object Object],[object Object],[object Object],Our Contributions to S-CUBE [PESOS2009]
[object Object],[object Object],[object Object],[object Object],Our Contributions to S-CUBE
 
input workload (service requests) input constraints (service level agreements) Hardware Layer Virtualization Layer Component Layer Workflow Composition Layer Service Delivery Layer
Self-Configuration Experiment Time (seconds) 1000 workflows 10 parallel tasks RT = 0s RT = 20s Resource Allocation (Cluster Nodes) [ICAC2005, ICWS2005, ISTJ2007]
Self-Healing Experiment Time (seconds) 5 node failure Resource Allocation (Cluster Nodes) [ICAC2005, ICWS2005, ISTJ2007]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Our Contributions to S-CUBE
SSIAE Summer School ,[object Object],[object Object],[object Object],[object Object]
WS-REST 2010 ,[object Object],[object Object],[object Object],[object Object]
Some References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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USI SCUBE Associate Member

  • 1.
  • 2.
  • 3. University of Lugano (USI), Switzerland
  • 4. My Research Interests Web 2.0 Mashups Autonomic Computing Business Process Management Scientific Workflow Management Service Oriented Architectures Software Composition Cesare Pautasso
  • 5.
  • 6.
  • 7.
  • 8.  
  • 9. input workload (service requests) input constraints (service level agreements) Hardware Layer Virtualization Layer Component Layer Workflow Composition Layer Service Delivery Layer
  • 10. Self-Configuration Experiment Time (seconds) 1000 workflows 10 parallel tasks RT = 0s RT = 20s Resource Allocation (Cluster Nodes) [ICAC2005, ICWS2005, ISTJ2007]
  • 11. Self-Healing Experiment Time (seconds) 5 node failure Resource Allocation (Cluster Nodes) [ICAC2005, ICWS2005, ISTJ2007]
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.

Editor's Notes

  1. What was our initial goal? Define a language and a build a system to make it easy, rapid, visual and efficient to compose Grid services. Along the way we found out that we could generalize the language and the system so that it would be independent from the actual types of services to be composed.