skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Sampling Approaches for Multi-Domain Internet Performance Measurement Infrastructures

Abstract

The next-generation of high-performance networks being developed in DOE communities are critical for supporting current and emerging data-intensive science applications. The goal of this project is to investigate multi-domain network status sampling techniques and tools to measure/analyze performance, and thereby provide “network awareness” to end-users and network operators in DOE communities. We leverage the infrastructure and datasets available through perfSONAR, which is a multi-domain measurement framework that has been widely deployed in high-performance computing and networking communities; the DOE community is a core developer and the largest adopter of perfSONAR. Our investigations include development of semantic scheduling algorithms, measurement federation policies, and tools to sample multi-domain and multi-layer network status within perfSONAR deployments. We validate our algorithms and policies with end-to-end measurement analysis tools for various monitoring objectives such as network weather forecasting, anomaly detection, and fault-diagnosis. In addition, we develop a multi-domain architecture for an enterprise-specific perfSONAR deployment that can implement monitoring-objective based sampling and that adheres to any domain-specific measurement policies.

Authors:
Publication Date:
Research Org.:
Ohio State University Research Foundation
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1156687
Report Number(s):
DOE-OSU-1331
DOE Contract Number:  
SC0001331
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; NEXT GENERATION NETWORKING FOR SCIENCE

Citation Formats

Calyam, Prasad. Sampling Approaches for Multi-Domain Internet Performance Measurement Infrastructures. United States: N. p., 2014. Web. doi:10.2172/1156687.
Calyam, Prasad. Sampling Approaches for Multi-Domain Internet Performance Measurement Infrastructures. United States. doi:10.2172/1156687.
Calyam, Prasad. Mon . "Sampling Approaches for Multi-Domain Internet Performance Measurement Infrastructures". United States. doi:10.2172/1156687. https://www.osti.gov/servlets/purl/1156687.
@article{osti_1156687,
title = {Sampling Approaches for Multi-Domain Internet Performance Measurement Infrastructures},
author = {Calyam, Prasad},
abstractNote = {The next-generation of high-performance networks being developed in DOE communities are critical for supporting current and emerging data-intensive science applications. The goal of this project is to investigate multi-domain network status sampling techniques and tools to measure/analyze performance, and thereby provide “network awareness” to end-users and network operators in DOE communities. We leverage the infrastructure and datasets available through perfSONAR, which is a multi-domain measurement framework that has been widely deployed in high-performance computing and networking communities; the DOE community is a core developer and the largest adopter of perfSONAR. Our investigations include development of semantic scheduling algorithms, measurement federation policies, and tools to sample multi-domain and multi-layer network status within perfSONAR deployments. We validate our algorithms and policies with end-to-end measurement analysis tools for various monitoring objectives such as network weather forecasting, anomaly detection, and fault-diagnosis. In addition, we develop a multi-domain architecture for an enterprise-specific perfSONAR deployment that can implement monitoring-objective based sampling and that adheres to any domain-specific measurement policies.},
doi = {10.2172/1156687},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2014},
month = {9}
}