'Parallel databases' presentation slideshows

Matthias Weidlich, Jan Mendling, Mathias Weske jan.mendling@wiwi.hu-berlin.de

Matthias Weidlich, Jan Mendling, Mathias Weske jan.mendling@wiwi.hu-berlin.de. Behavioral Profiles An Abstraction for Efficient Calculation of Consistency between Process Models . Poster auf Berliner BPM-Offensive http://www.bpmb.de. Agenda. Why Consistency between Process Models?

531 views • 33 slides

Advanced Computational Research Laboratory (ACRL) Virendra C. Bhavsar

Advanced Computational Research Laboratory (ACRL) Virendra C. Bhavsar. Faculty of Computer Science University of New Brunswick Fredericton, NB, E3B 5A3 Canada. OUTLINE. ? ACRL Research Groups ? Introduction to Parallel Processing ? ACRL Research Groups ? Conclusion. ARCL.

403 views • 32 slides

Voronoi-based Geospatial Query Processing with MapReduce

Voronoi-based Geospatial Query Processing with MapReduce. Afsin Akdogan , Ugur Demiryurek , Farnoush Banaei-Kashani and Cyrus Shahabi University of Southern California. 12/02/2011 IBM Student Workshop for Frontiers of Cloud Computing. Outline. Motivation Related Work Preliminaries

406 views • 30 slides

Online Balancing of Range-Partitioned Data with Applications to P2P Systems

Online Balancing of Range-Partitioned Data with Applications to P2P Systems. Prasanna Ganesan Mayank Bawa Hector Garcia-Molina Stanford University. Motivation. Parallel databases use range partitioning Advantages: Inter-query parallelism

442 views • 26 slides

Parallel Database Systems

374 views • 26 slides

HadoopDB : An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads

HadoopDB : An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads. Submitted to: Dr. Amer Badarneh By : Muneera AL_Quraan. Outlines. Reasons for data exploding Shared-nothing architecture Parallel databases MapReduce systems The Idea of HadoopDB

601 views • 21 slides

COP5725 Advanced Database Systems

COP5725 Advanced Database Systems. Final Review. Spring 2014. Final Exam. Time : Tuesday 04/29/2013 10am --- 12pm Venue : LOV 103, in-class exam Closed book/note, but you can bring a piece of cheat sheet (A4, double side) Plan your strategy well

317 views • 17 slides

Parallel Databases @ Home

Parallel Databases @ Home. Qiong Luo H ong K ong U niversity of S cience & T echnology http://www.cse.ust.hk/~luo. Parallel Databases. Future of high performance computing [DeWitt and Gray, CACM 1992] Parallelism metrics: scaleup and speedup

160 views • 5 slides

Parallel Databases @ Home

Parallel Databases @ Home. Qiong Luo H ong K ong U niversity of S cience & T echnology http://www.cse.ust.hk/~luo. Parallel Databases. Future of high performance computing [DeWitt and Gray, CACM 1992] Parallelism metrics: scaleup and speedup

57 views • 5 slides