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Semantic Cloud Governance

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Semantic Cloud Governance

  1. 1. What is the Governance challenge? How do we intelligently such that it delivers superior value to organizations?How can we deploy semantic technologies to solve this problem effectively ?
  2. 2. -ve impact of Lack of Governance Individual Home Village City Why Governance?Scale + Complexity Metropolis Megapolis
  3. 3. -ve impact of Lack of Governance Application Services Enterprise Services Inter- Enterprise Services Why Governance?Scale + Complexity Cloud Services Inter Cloud Gateways
  4. 4. What is the scale of the systems we are dealing with today?
  5. 5. What is the scale of the systems we are dealing with today?bundle
  6. 6. What is the scale of the systems we are dealing with today?deploybundle
  7. 7. What is the scale of the systems we are dealing with today?aggregatedeploybundle
  8. 8. What is the scale of the systems we are dealing with today?consumeaggregatedeploybundle
  9. 9. What is the scale of the systems we are dealing with today?consumeaggregate Scaledeploybundle
  10. 10. What is the complexity?
  11. 11. What is the complexity?
  12. 12. What is the complexity?
  13. 13. What is the complexity?
  14. 14. What is the complexity? Inter-Dependencies
  15. 15. What are the dimensions of complexity? Design Time Complexity
  16. 16. What are the dimensions of complexity? Deploy Time Complexity
  17. 17. What are the dimensions of complexity?
  18. 18. What are the tools needed to govern Scale & Complexity? Automation Machine Learning Situation Detection Collective Context Inference Semantic Governance Repository Intelligence
  19. 19. What are the Governance primitives?
  20. 20. Semantic Service Repository Semantic Service Repository uses uses uses has depends on belongs to depends on depends on is rated by depends on is governed by is ranked by Taxonomy is tagged byTaxonomy –FolksonomyReconciliation
  21. 21. Definition: Service Reputation• Service Reputation = f(User Rating, User Ranking, Compliance, Verity) – User rating = User reviews (Collective Intelligence, Subjective User Perception) – User ranking = User reviews (Collective Intelligence, Subjective User Perception) – Compliance = Degree of Conformance to policies, guidelines and standards (run-time) – Verity = Degree of consistency exhibited by Service provider in delivering the quality levels laid out in service contract, in a range of previous transactions (Run Time)
  22. 22. What does a Core Governance Information Model look like?
  23. 23. Where does Machine Learning fit in?(Service Auto-Classification) Service Ontology (including Service Descriptions + other textual attributes) Service Taxonomies On publish of service On tagging of service On ranking & rating of service Service Service Auto-classifier Service Linguistics (UIMA) + Registry Neural Net Engine/ Text SVM Registry Auto-Classified Services
  24. 24. What is the CEP connection?
  25. 25. What is the CEP & Semantics connection? Potential Situations
  26. 26. What is the BPM, CEP & Semantics connection? On Service creation alert On SLA violation alert On Error prediction alert Potential Situations
  27. 27. What is the BPM, BAM, CEP & Semantics connection? On Service creation alert On SLA violation alert On Error prediction alert Potential Situations
  28. 28. What is the BPM, BI, CEP & Semantics connection? On Service creation alert On SLA violation alert On Error prediction alert Potential Situations
  29. 29. What is the Semantic Search connection? The Ontology is the basis for the Search -Discovery (D) -Code versions (D) -Description (D) -Documentation (D) -Contracts (R) -Query message store (R)Registry -Policies (R) -Logging (R) Repository -Auditing (R) -Versioning (R)
  30. 30. What is the Semantic Search connection?
  31. 31. Summary? We can intelligently to deliver superior valueSemantic technologies go a long way to solve this problem effectively !
  32. 32. Conclusion Need: A highly scalable, performant and robust semantically enabled platform to propel cloud based enterprises Opportunity: To propel mainstream adoption of semantics by incrementally enabling semantic intelligence in components that are widespread in today’s enterprise Need and Opportunity: An open source platform to do all of this leveraging existing open source components …. volunteers?
  33. 33. Acknowledgements•Keshava Rangarajan, Chief Architect, Halliburton•Jayesh Shah, Vice President, Product Development, Oracle America, Inc.•Rajesh Raheja, Senior Director, Applications Development, Oracle America, Inc•Harry Teunissen, Senior Technical Advisor, Halliburton (Landmark)•Nagaraj Srinivasan, VP R&D, Halliburton (Landmark)•Chaminda Peries, Principal Architect, Halliburton (Landmark)•Bhagat Nainani, Vice President Development, Oracle America, Inc•Manoj Das, Senior Director, Product Management, Oracle America, Inc•Payal Srivastava, Senior Principal Product Manager, Oracle America, Inc.•Ashish Pathak, Director, Product Management, Oracle America, Inc.•Veshaal Singh, Senior Director, ATG Development, Oracle Corporation•Rajesh Ghosh, Group Manager, ATG Development, Oracle Corporation•Alexandre Alves, Consulting Member of Technical Staff, Oracle America, Inc.•Meera Srinivasan, Senior Principal Product Manager, Oracle America, Inc.

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