Efficient Situational Adaptive Execution of Graph Analysis On COTS Architectures

Abstract

The proposed technical effort to utilize machine learning to scale Graph Analytics via scheduling is a critical technique that shows promise to scale our branch big data graph processing.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 02, 2017
Source ID
N00173172C010

Entities

People

  • Omar F. Khan

Organizations

  • United States Naval Research Laboratory
  • United States Navy
  • University of Connecticut

Tags

Fields of Study

  • Computer science

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Neural Network Machine Learning.
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms