1 / 18

Ongoing Research P.Krishna Reddy IIIT, Hyderabad pkreddy@iiit.ac

Ongoing Research P.Krishna Reddy IIIT, Hyderabad pkreddy@iiit.ac.in. COMAD 2008. Core Database Systems: Transaction Management. So far Transaction management Database systems Replicated databases Current work Speculative locking. T 1 releases lock on X. T 1 completes work on X.

harken
Download Presentation

Ongoing Research P.Krishna Reddy IIIT, Hyderabad pkreddy@iiit.ac

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Ongoing ResearchP.Krishna ReddyIIIT, Hyderabadpkreddy@iiit.ac.in COMAD 2008

  2. Core Database Systems:Transaction Management • So far • Transaction management • Database systems • Replicated databases • Current work • Speculative locking

  3. T1 releases lock on X T1 completes work on X T1: r1[X] w1[X'] r1[Y] w1[Y'] e1 c1 s1 T2: r2[X] w2[X'] r2[Z] w2[Z'] c2 s2 e2 time (i) 2PL T1: r1[X] w1[X'] r1[Y] w1[Y'] s1 e1 c1 T21 r2[X] w2[X"] r2[Z] w2[Z'] T2: s2 r2[X'] w2[X"'] r2[Z] w2[Z"] c2 e2 T22 time (ii) SL Speculative Locking: Example Speculation trades extra processing power for performance

  4. Core Database Systems • Current work • Speculation to improve the performance of read-only transactions • Future: • Investigate how low cost CPU/main memory CLOUD to improve application and system parallelism and build • speculative operating systems. • Speculative transaction managers • Speculative web service managers

  5. Data and Web data mining • Extraction of rare knowledge • Rare association rules • Improve search quality by extending ideas from social networks and other domains. • Recommend products which for every Indian consumer. • Create an online facility to retrieve similar judgements for lawyers and judges and reduce justice delivery period.

  6. Data and Web data mining • User interfaces • Designing efficient data entry framework • to help e-commerce customers to reduce the time to select the product • Text mining • Exploit web directories for better text mining.

  7. ICTs for Social Development • Through eSagu, make every Indian farmer to produce 100% export quality farm produce and increase income in the order of magnitude.

  8. Sample Photographs 2

  9. Sample Photographs 3

  10. Sample advices generated by Agricultural Externs

  11. ICTs for Social DevelopmentICTs-based Agricultural Education • Existing framework • Agricultural experts visit land and learns the applied concepts • Proposed framework: • AEs learn practical knowledge by exposing themselves with huge number of farm situations captured under ICT-based learning framework • The farm situations are captured and indexed using ICTs such as data warehousing, image processing, video, and audio.

  12. ICTs for Social DevelopmentICTs-based Agricultural Education • We have announced Post-graduate Diploma in applied agriculture and IT (PGDAAIT) • Similar to House surgeon course for MBBS students. • The ICT-based learning framework has three components • Data warehouse of crop care concepts (DWOC3) • eSagu Clinic • Field visits

  13. ICTs for Social DevelopmentICTs-based Agricultural Education • DWOC3 contains • Data warehouse of virtual farm observation concepts which are captured through multimedia data including text, photos, video, audio. • DWOC3 contains farm situations indexed based on various concepts in a multi-dimensional manner.

  14. ICTs for Social DevelopmentICTs-based Agricultural Education • In eSaguClinic, • a group of scientists deliver the agricultural advice based on the crop status information received in the form of digital photos and other information. • For PGDAAIT program, we will operate few eSagu local centers. • The students are exposed to eSaguClinic to learn the practical aspects. • Field visits • The students are exposed to field visits.

  15. ICTs for Social DevelopmentBuild farmer ERP • Formal Problem Statement: Given • a region (say r1,r2…rl) , • number of farms (f1,f2…fm), • types of soil of each form (s1,s2…sn), • crop grown in each farm (c1,c2…co), • variety of the crop (v1,v2…vp), • weather type (w1,w2…wq), • water availability (wa1,wa2…war), • labor availability (la1,la2…las), • machines (c1,c2…cu) • the farmer can invest (m1,m2…mt) and • the type of market where his products can be sold. • Find the problems that can occur in the farms of a farmer, in various stages of crop cultivation. • Come up with an optimized plan for all the farms of a farmer, so that the magnitude of the problems can be reduced. Problem 6.

  16. ICTs for Social DevelopmentImproving Literacy • Build an IT-based system to provide functional literacy (read, write, simple maths) to each and every illiterate in India without disturbing his/her daily routine (earning source or power).

More Related