By Topic

Predictive-Flow-Queue-Based Energy Optimization for Gigabit Ethernet Controllers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Hwisung Jung ; Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Andy Hwang ; Massoud Pedram

This paper presents energy-efficient packet interface architecture and a power management technique for gigabit Ethernet controllers, where low-latency and high-bandwidth are required to meet the pressing demands of very high frame-rate data. More specifically, a predictive-flow-queue (PFQ)-based packet interface architecture is presented, which adjusts the operating frequency of different functional blocks at a fine granularity so as to minimize the total system energy dissipation while attaining performance goals. A key feature of the proposed architecture is the implementation of a runtime workload prediction method for the network traffic along with a continuous frequency adjustment mechanism, which enables one to eliminate the latency and energy penalties associated with discrete power mode transitions. Furthermore, a stochastic modeling framework based on Markovian decision processes and queuing models is employed, which make it possible to adopt a precise mathematical programming formulation for the energy optimization under performance constraints. Experimental results with a designed 65-nm Gb Ethernet controller show that the proposed interface architecture and continuous frequency scaling result in system-wide energy savings while meeting performance specifications.

Published in:

IEEE Transactions on Very Large Scale Integration (VLSI) Systems  (Volume:17 ,  Issue: 8 )