A Monitoring System for the BaBar INFN Computing Cluster

TL;DR

PerfMC is an efficient, easy-to-configure monitoring system using SNMP and XML for large clusters, demonstrated on a 200-machine Linux farm for the BaBar experiment.

Contribution

Introduces PerfMC, a scalable monitoring system leveraging SNMP and XML, tailored for large clusters with minimal performance impact.

Findings

Successfully monitored 200 Linux machines for BaBar

Provides real-time status and historical data via web interface

Flexible configuration with XML and XSLT support

Abstract

Monitoring large clusters is a challenging problem. It is necessary to observe a large quantity of devices with a reasonably short delay between consecutive observations. The set of monitored devices may include PCs, network switches, tape libraries and other equipments. The monitoring activity should not impact the performances of the system. In this paper we present PerfMC, a monitoring system for large clusters. PerfMC is driven by an XML configuration file, and uses the Simple Network Management Protocol (SNMP) for data collection. SNMP is a standard protocol implemented by many networked equipments, so the tool can be used to monitor a wide range of devices. System administrators can display informations on the status of each device by connecting to a WEB server embedded in PerfMC. The WEB server can produce graphs showing the value of different monitored quantities as a function of time; it can also produce arbitrary XML pages by applying XSL Transformations to an internal XML representation of the cluster's status. XSL Transformations may be used to produce HTML pages which can be displayed by ordinary WEB browsers. PerfMC aims at being relatively easy to configure and operate, and highly efficient. It is currently being used to monitor the Italian Reprocessing farm for the BaBar experiment, which is made of about 200 dual-CPU Linux machines.