Networking Research at OARnet

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Multi-Domain Network Performance Sampling

 

In this project, we are working towards helping the advanced networking community to overcome the “network awareness” gap! Specifically, we are developing multi-domain network status sampling techniques and tools to measure/analyze multi-layer performance on the Internet. The expected project outcomes are enhanced scheduling algorithms, measurement federation policies, and tools to sample multi-domain and multi-layer network status with active/passive measurements. We also are working towards validating our algorithms and policies with measurement analysis tools for network weather forecasting, anomaly detection, and fault-diagnosis.

The deployment of the project outcomes will be on testbeds to support networking for DOE science. For e.g., we will deploy our tools in the DOE’s E-Center for network performance monitoring of Tier-1 to Tier-2 Large Hadron Collider sites consuming data feeds from CERN (Tier-0). The project collaborators include: Lawrence Berkeley National Laboratory, FermiLab, Bucknell University, University of Delaware, and Internet2.

Project Team

• Prasad Calyam, Ph.D. (Principal Investigator)
• Mukundan Sridharan, Ph.D. (Postdoctoral Fellow)
• Lakshmi Kumaraswamy (Graduate Research Associate)
• Pu Jialu (Student Research Assistant)

Documents
Presentations

• Experiences from developing analysis techniques and GUI tools for perfSONAR users
  perfSONAR Workshop, Arlington, VA, 2010.
• Multi-domain Internet Performance Sampling and Analysis Tools
  Internet2/ESCC Joint Techs, Columbus, OH, 2010.
• Multi-domain Internet Performance Measurement: Sampling and Analysis
  Presentation/Demo at ESnet/Internet2 Joint Techs Conference, Salt Lake City, UT, February 2010.
• OnTimeDetect Tool for network anomaly notification in perfSONAR deployments
  Presentation/Demo at Internet2 Spring Member Meeting “Network Tools Tutorial” session, Arlington, VA, April 2010.

Papers

• Prasad Calyam, Lakshmi Kumarasamy, Fuzun Ozguner:
  "Semantic Scheduling of Active Measurements for meeting Network Monitoring Objectives"
  IEEE Conference on Network and Service Management (CNSM) (Short Paper), 2010.
• Prasad Calyam, Jialu Pu, Weiping Mandrawa, and Ashok Krishnamurthy:
  "OnTimeDetect: Dynamic Network Anomaly Notification in perfSONAR Deployments"
  IEEE Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2010

Software Downloads

• OnTimeDetect: Offline and Online Network Anomaly Notification Tool for perfSONAR Deployments

News Articles

• Research seeks to improve service for users of next-generation networks”, OSC Press Release, October 2009.

Project Funding

This material is based upon work supported by the Department of Energy under Award Number: DE-SC0001331. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.