AccountableMR: Toward accountable MapReduce systems
MAR 27, 2017 11:16 AM
A+ A A-
AccountableMR: Toward accountable MapReduce systems

AccountableMR: Toward accountable MapReduce systems

Huseyin Ulusoy, The University of Texas at Dallas, 800 W. Campbell Rd, Richardson TX, 75080
Murat Kantarcioglu, The University of Texas at Dallas, 800 W. Campbell Rd, Richardson TX, 75080
Erman Pattuk, The University of Texas at Dallas, 800 W. Campbell Rd, Richardson TX, 75080
Lalana Kagal, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139

This paper proposes an accountable MapReduce architecture in which specific data usage is allowed after fine- grained transparent authorizations and effective accountability assessments.

Read full article

FIRST
PREV
NEXT
LAST
Page(s):
[%= name %]
[%= createDate %]
[%= comment %]
Share this:
Please login to enter a comment:
 

Computing Now Blogs
Business Intelligence
by Keith Peterson
Cloud Computing
A Cloud Blog: by Irena Bojanova
The Clear Cloud: by STC Cloud Computing
Careers
Computing Careers: by Lori Cameron
Display Technologies
Enterprise Solutions
Enterprise Thinking: by Josh Greenbaum
Healthcare Technologies
The Doctor Is In: Dr. Keith W. Vrbicky
Heterogeneous Systems
Hot Topics
NealNotes: by Neal Leavitt
Industry Trends
The Robotics Report: by Jeff Debrosse
Internet Of Things
Sensing IoT: by Irena Bojanova

 

RESET