WLCG Networks: Update on Monitoring and Analytics

TL;DR

This paper reports on the current state and recent developments of the WLCG network monitoring and analytics platform, emphasizing improved analytics, alerting, and collaboration efforts to ensure network reliability for large-scale scientific computing.

Contribution

It provides an update on the WLCG network monitoring infrastructure, including new analytics capabilities and collaborations like the NSF SAND project, enhancing network issue detection and resolution.

Findings

Enhanced network monitoring with perfSONAR instances

Implementation of higher-level analytics and alerting

Collaboration with NSF SAND project for network diagnosis

Abstract

WLCG relies on the network as a critical part of its infrastructure and therefore needs to guarantee effective network usage and prompt detection and resolution of any network issues including connection failures, congestion and traffic routing. The OSG Networking Area, in partnership with WLCG, is focused on being the primary source of networking information for its partners and constituents. It was established to ensure sites and experiments can better understand and fix networking issues, while providing an analytics platform that aggregates network monitoring data with higher level workload and data trans-fer services. This has been facilitated by the global network of the perfSONAR instances that have been commissioned and are operated in collaboration with WLCG Network Throughput Working Group. An additional important updateis the inclusion of the newly funded NSF project SAND (Service Analytics and Network Diagnosis) which is focusing on network analytics. This paper describes the current state of the network measurement and analytics platform and summarizes the activities taken by the working group and our collaborators. This includes the progress being made in providing higher level analytics,alerting and alarming from the rich set of network metrics we are gathering.