'Data intensive applications' presentation slideshows

Distributed Systems CS 15-440

503 views • 49 slides

Lambda Data Grid

Lambda Data Grid. A Grid Computing Platform where Communication Function is in Balance with Computation and Storage. Tal Lavian. Outline of the presentation. Introduction to the problems Aim and scope Main contributions Lambda Grid architecture Network resource encapsulation

568 views • 42 slides

Lambda Data Grid

Lambda Data Grid. A Grid Computing Platform where Communication Function is in Balance with Computation and Storage. Tal Lavian. Outline of the presentation. Introduction to the problems Aim and scope Main contributions Lambda Grid architecture Network resource encapsulation

546 views • 42 slides

Lambda Data Grid

Lambda Data Grid. A Grid Computing Platform where Communication Function is in Balance with Computation and Storage. Tal Lavian. Outline of the presentation. Introduction to the problems Aim and scope Main contributions Lambda Grid architecture Network resource encapsulation

428 views • 42 slides

May 30 2013

Cloud Computing and Large Scale Computing in the Life Sciences: Opportunities for Large Scale Sequence Processing. Geoffrey Fox gcf@indiana.edu http://www.infomall.org http://www.futuregrid.org School of Informatics and Computing Digital Science Center Indiana University Bloomington.

490 views • 35 slides

Chapter 16 Parallel Data Mining

Chapter 16 Parallel Data Mining. 16.1 From DB to DW to DM 16.2 Data Mining: A Brief Overview 16.3 Parallel Association Rules 16.4 Parallel Sequential Patterns 16.5 Summary 16.6 Bibliographical Notes 16.7 Exercises. 16.1. Data-Intensive Applications.

341 views • 32 slides

Corollary

347 views • 23 slides

401 views • 21 slides

Niches, Long Tails, and Condos

Niches, Long Tails, and Condos. Effectively Supporting Modest-Scale HPC Users. 21st High Performance Computing Symposia (HPC'13) Rick Wagner High Performance System Manager San Diego Supercomputer Center April 10, 2013. What trends are driving HPC in the SDSC machine room?. Niches:

302 views • 18 slides

Chinese Delegation visit Malcolm Atkinson Director nesc.ac.uk 18 th November 2004

Chinese Delegation visit Malcolm Atkinson Director www.nesc.ac.uk 18 th November 2004. What is e-Science?. Goal: to enable better research in all applications Method: Invention and exploitation of advanced computational methods to generate, curate and analyse research data

376 views • 15 slides

Our experience with NoSQL and MapReduce technologies

Our experience with NoSQL and MapReduce technologies. Fabio Souto IT Monitoring Working Group, 19 th September 2011. Outline. Objective Big data technologies Technologies reviewed Deployed infrastructure Current status Lessons learned. Problem and goal. The SAM infrastructure for WLCG

275 views • 14 slides

213 views • 11 slides

A MapReduce Workflow System for Architecting Scientific Data Intensive Applications

A MapReduce Workflow System for Architecting Scientific Data Intensive Applications. By Phuong Nguyen and Milton Halem phuong3 or halem @ umbc.edu. Introduction. Scientific workflow systems

179 views • 8 slides

HASS Computational Science will be a breakthrough area in the next ten years

143 views • 6 slides

Flex, Java and Data Intensive Applications

Flex, Java and Data Intensive Applications. Cornel Creanga Platform Evangelist ccreanga@adobe.com www.cornelcreanga.com. Adobe Technology Platform for RIA. Adobe. Design & Development Tools. Applications. Client Application Tier. Frameworks. Flex Framework. Creative Suite. Browsers.

211 views • 5 slides

A Case for Thread Migration

133 views • 3 slides