<--- Back to Details
First PageDocument Content
Concurrent computing / Parallel computing / Computing / IT infrastructure / Cloud infrastructure / Job scheduling / Apache Hadoop / Apache Software Foundation / Data-intensive computing / Workflow / Algorithmic skeleton / Programming paradigm
Date: 2015-12-11 19:50:54
Concurrent computing
Parallel computing
Computing
IT infrastructure
Cloud infrastructure
Job scheduling
Apache Hadoop
Apache Software Foundation
Data-intensive computing
Workflow
Algorithmic skeleton
Programming paradigm

Towards a high level programming paradigm to deploy e-science applications with dynamic workflows on large scale distributed systems Mohamed Ben Belgacem Nabil Abdennadher

Add to Reading List

Source URL: mse-cloud.s3-website-eu-west-1.amazonaws.com

Download Document from Source Website

File Size: 408,21 KB

Share Document on Facebook

Similar Documents

Confuga: Scalable Data Intensive Computing for POSIX Workflows Patrick Donnelly, Nicholas Hazekamp, Douglas Thain Department of Computer Science and Engineering University of Notre Dame {pdonnel3,nhazekam,dthain}@nd.edu

Confuga: Scalable Data Intensive Computing for POSIX Workflows Patrick Donnelly, Nicholas Hazekamp, Douglas Thain Department of Computer Science and Engineering University of Notre Dame {pdonnel3,nhazekam,dthain}@nd.edu

DocID: 1v933 - View Document

Windows Azure for Research Accelerate the speed of scientific discovery Windows Azure provides researchers with the power and scalability of cloud computing for collaboration, computation, and data-intensive processing.

Windows Azure for Research Accelerate the speed of scientific discovery Windows Azure provides researchers with the power and scalability of cloud computing for collaboration, computation, and data-intensive processing.

DocID: 1u3KX - View Document

Hyracks: A Flexible and Extensible Foundation for Data-Intensive Computing Vinayak Borkar, Michael Carey, Raman Grover, Nicola Onose, Rares Vernica Computer Science Department, University of California, Irvine Irvine, CA

Hyracks: A Flexible and Extensible Foundation for Data-Intensive Computing Vinayak Borkar, Michael Carey, Raman Grover, Nicola Onose, Rares Vernica Computer Science Department, University of California, Irvine Irvine, CA

DocID: 1tMQ2 - View Document

Biomedical Case Studies in Data Intensive Computing Geoffrey Fox1,2, Xiaohong Qiu1, Scott Beason1, Jong Choi1,2, Jaliya Ekanayake1,2 Thilina Gunarathne1,2,Mina Rho2, Haixu Tang2, Neil Devadasan3, Gilbert Liu4, Pervasive

Biomedical Case Studies in Data Intensive Computing Geoffrey Fox1,2, Xiaohong Qiu1, Scott Beason1, Jong Choi1,2, Jaliya Ekanayake1,2 Thilina Gunarathne1,2,Mina Rho2, Haixu Tang2, Neil Devadasan3, Gilbert Liu4, Pervasive

DocID: 1taKo - View Document

IMT Institute for Advanced Studies Lucca, Italy Big Data and the Web: Algorithms for Data Intensive Scalable Computing

IMT Institute for Advanced Studies Lucca, Italy Big Data and the Web: Algorithms for Data Intensive Scalable Computing

DocID: 1sX92 - View Document