What is Drools, Guvnor and Planner? 2012 02-17 Brno Dev Conference
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Drools is a rule engine that is useful for extracting business decisions that require domain expertise or change often. Guvnor is a business rule management system that allows domain experts to manage rules flexibly. Planner can optimize planning problems by assigning resources to goals under constraints. It provides algorithms like first fit and local search that can improve on basic assignments and scale to large problems. Together, Drools, Guvnor and Planner provide capabilities for integrating flexible business rules and optimizing planning that can help organizations be more efficient.
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What is Drools, Guvnor and Planner? 2012 02-17 Brno Dev Conference
- 1. Geoffrey De Smet What are Drools, Guvnor and Planner?
- 2. Business Logic Integration Business Logic Integration Rule engine Workflow Complex event processing (CEP) Business Rule Management System (BRMS) Automated planning
- 3. When should I use them? Drools and Guvnor
- 4. A Drools rule rule "No-risk mortgage" when $m : Mortgage( amount < 5000.0 ) Applicant( age < 50 , income > 1000.0 , mortage == $m ) then $m .setApproved( true ); $m .setInterest( 2.00 ); end DRL pattern Java code
- 9. Easier to read, better at scaling
- 13. Insurances acceptance and fee calculation
- 22. Which field has the result our application needs? Version 1 Version 2
- 24. Business rules are hard coded in Java Invalid: must be a number
- 26. when income below 1000 and age above 50
- 27. when income below 1% of mortgage amount Invalid: must be a number
- 29. My business requires domain expertise Only mortgage managers understand mortgage rules
- 32. participated in mortgages conferences/courses? No
- 33. years of mortgage customer experience? No
- 35. participated in mortgages conferences/courses? No
- 38. participated in mortgages conferences/courses? No
- 42. Domain experts can read rules in the Guided Rule Editor
- 43. Domain experts can write rules in the Guided Rule Editor Change
- 44. Translated to DRL Executed on JavaBeans
- 46. Domain experts make the building Source: wikipedia
- 47. My business rules change often This mortgage rule change must be released by noon
- 53. Self-service by mortgage manager
- 55. Do more with less Planner
- 56. Demo Drools Planner TSP example
- 57. Every organization has planning problems.
- 69. Per teacher
- 75. Minimize server cost http://www.flickr.com/photos/torkildr/3462607995/
- 77. Minimize server cost http://www.flickr.com/photos/torkildr/3462607995/
- 78. Which processes do we assign to this server?
- 79. How did we find that solution?
- 80. First fit by decreasing size
- 81. First fit by decreasing size
- 82. First fit by decreasing size
- 83. First fit by decreasing size
- 84. Another case
- 85. Try FFD again
- 86. Try FFD again
- 87. Try FFD again
- 88. Try FFD again
- 89. FFD failure
- 90. NP complete
- 100. Organizations rarely optimize planning problems.
- 103. Regular releases
- 104. Reference manual
- 105. Examples
- 106. Demo Drools Planner CloudBalance example
- 108. Brute Force
- 109. Brute force scalability 6 processes = 15 ms 9 processes = 1.5 seconds * 100
- 110. Brute force scalability 12 processes = 17 minutes 6 processes = 15 ms 9 processes = 1.5 seconds * 100 * 680
- 111. Plan 1200 processes with brute force?
- 112. First Fit
- 114. First Fit results CPU: OK RAM: OK Network: OK Cost active servers: shown
- 115. First Fit Decreasing
- 116. First Fit Decreasing scalability
- 117. First Fit Decreasing results
- 118. Local Search
- 119. Local Search results
- 121. Organizations rarely optimize planning problems.
- 123. Summary
- 126. Switching/combining algorithms is easy
- 127. Try an example!
- 129. Google+: Geoffrey De Smet