Sampling Approaches for Multi-Domain Internet Performance Measurement Infrastructures

Calyam, Prasad

关键词: NEXT GENERATION NETWORKING FOR SCIENCE;   

DOI  :  10.2172/1156687
RP-ID  :  DOE-OSU-1331
PID  :  OSTI ID: 1156687

学科分类：数学（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

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.