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.:
- The Ohio State Univ., Columbus, OH (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- 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. https://doi.org/10.2172/1156687
Calyam, Prasad. 2014.
"Sampling Approaches for Multi-Domain Internet Performance Measurement Infrastructures". United States. https://doi.org/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},
url = {https://www.osti.gov/biblio/1156687},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Sep 15 00:00:00 EDT 2014},
month = {Mon Sep 15 00:00:00 EDT 2014}
}