Accession Number:

ADA454287

Title:

Machine Learning for the Knowledge Plane

Descriptive Note:

Final technical rept. Jun 2003-Dec 2005

Corporate Author:

OREGON STATE UNIV CORVALLIS

Personal Author(s):

Report Date:

2006-06-01

Pagination or Media Count:

66.0

Abstract:

In 2003, Dave Clark MIT proposed a new abstract internet layer called the Knowledge Plane KP whose purpose is to support network applications such as general fault management, self configuration, and performance management that require distributed, self-aware cognitive processing. The heart of this idea is to combine techniques from machine learning with new architectural concepts in networking to make the internet self-aware and self-managing. This will require revolutionary advances in both statistical learning methods and network protocol design and implementation. We performed pilot work on the machine learning portion of the Knowledge Plane. This consisted of three components a we wrote a document formulating the various learning tasks that will arise within the Knowledge Plane and within KP applications, b we worked with networking researchers to design several KP scenarios for purposes of developing a new DARPA-funded KP program, and c we participated in DARPA working meetings and planning workshops to help finalize the proposed KP program.

Subject Categories:

  • Psychology
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE