2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud)
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By IEEE

9781509061587

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Multi-tenant Fair Share Approach to Full-text Search Engine

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud) ◽

10.1109/datacloud.2016.010 ◽

2016 ◽

Author(s):

Zong Peng ◽

Beth Plale

Keyword(s):

Search Engine ◽

Full Text ◽

Fair Share ◽

Text Search ◽

Full Text Search

Download Full-text

Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud) ◽

10.1109/datacloud.2016.007 ◽

2016 ◽

Cited By ~ 3

Author(s):

Michael S. Warren ◽

Samuel W. Skillman ◽

Rick Chartrand ◽

Tim Kelton ◽

Ryan Keisler ◽

...

Keyword(s):

Satellite Imagery ◽

Data Intensive

Download Full-text

Author Index

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud) ◽

10.1109/datacloud.2016.012 ◽

2016 ◽

Download Full-text

Pecos: A Scalable Solution for Analyzing and Managing Qualitative Data

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud) ◽

10.1109/datacloud.2016.006 ◽

2016 ◽

Cited By ~ 1

Author(s):

Ritu Arora ◽

Trung Nguyen Ba ◽

Tiffany A. Connors

Keyword(s):

Qualitative Data

Download Full-text

Improved Data-Aware Task Dispatching for Batch Queuing Systems

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud) ◽

10.1109/datacloud.2016.009 ◽

2016 ◽

Cited By ~ 1

Author(s):

Xieming Li ◽

Osamu Tatebe

Keyword(s):

Queuing Systems

Download Full-text

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud) ◽

10.1109/datacloud.2016.003 ◽

2016 ◽

Download Full-text

Title Page

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud) ◽

10.1109/datacloud.2016.001 ◽

2016 ◽

Keyword(s):

Title Page

Download Full-text

Asterism: Pegasus and Dispel4py Hybrid Workflows for Data-Intensive Science

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud) ◽

10.1109/datacloud.2016.004 ◽

2016 ◽

Cited By ~ 5

Author(s):

Rosa Filgueira ◽

Rafael Ferreira Da Silva ◽

Amrey Krause ◽

Ewa Deelman ◽

Malcolm Atkinson

Keyword(s):

Data Intensive

Download Full-text

An Efficient Parallel Implementation of a Light-weight Data Privacy Method for Mobile Cloud Users

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud) ◽

10.1109/datacloud.2016.011 ◽

2016 ◽

Cited By ~ 3

Author(s):

Mehdi Bahrami ◽

Dong Li ◽

Mukesh Singhal ◽

Ashish Kundu

Keyword(s):

Data Privacy ◽

Parallel Implementation ◽

Mobile Cloud ◽

Light Weight ◽

Cloud Users ◽

Weight Data

Download Full-text

Copyright Page

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud) ◽

10.1109/datacloud.2016.002 ◽

2016 ◽

Download Full-text

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud)
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

A Multi-tenant Fair Share Approach to Full-text Search Engine

Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery

Author Index

Pecos: A Scalable Solution for Analyzing and Managing Qualitative Data

Improved Data-Aware Task Dispatching for Batch Queuing Systems

Table of Contents

Title Page

Asterism: Pegasus and Dispel4py Hybrid Workflows for Data-Intensive Science

An Efficient Parallel Implementation of a Light-weight Data Privacy Method for Mobile Cloud Users

Copyright Page

Export Citation Format

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

A Multi-tenant Fair Share Approach to Full-text Search Engine

Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery

Author Index

Pecos: A Scalable Solution for Analyzing and Managing Qualitative Data

Improved Data-Aware Task Dispatching for Batch Queuing Systems

Table of Contents

Title Page

Asterism: Pegasus and Dispel4py Hybrid Workflows for Data-Intensive Science

An Efficient Parallel Implementation of a Light-weight Data Privacy Method for Mobile Cloud Users

Copyright Page

2016 Seventh International Workshop on Data-Intensive Computing in the Clouds (DataCloud)
Latest Publications