Maryam Tahhan <>





Project creation

Barometer is the project that renames Software Fastpath service Quality Metrics (SFQM) and updates its scope which was networking centric.

The goal of SFQM was to develop the utilities and libraries in DPDK to support:

  • Measuring Telco Traffic and Performance KPIs. Including:

    • Packet Delay Variation (by enabling TX and RX time stamping).

    • Packet loss (by exposing extended NIC stats).

  • Performance Monitoring of the DPDK interfaces (by exposing extended NIC stats + collectd Plugin).

  • Detecting and reporting violations that can be consumed by VNFs and higher level management systems (through DPDK Keep Alive).

With Barometer the scope is extended to monitoring the NFVI. The ability to monitor the Network Function Virtualization Infrastructure (NFVI) where VNFs are in operation will be a key part of Service Assurance within an NFV environment, in order to enforce SLAs or to detect violations, faults or degradation in the performance of NFVI resources so that events and relevant metrics are reported to higher level fault management systems. If physical appliances are going to be replaced by virtualized appliances the service levels, manageability and service assurance needs to remain consistent or improve on what is available today. As such, the NFVI needs to support the ability to monitor:

  • Traffic monitoring and performance monitoring of the components that provide networking functionality to the VNF, including: physical interfaces, virtual switch interfaces and flows, as well as the virtual interfaces themselves and their status, etc.

  • Platform monitoring including: CPU, memory, load, cache, themals, fan speeds, voltages and machine check exceptions, etc.

All of the statistics and events gathered must be collected in-service and must be capable of being reported by standard Telco mechanisms (e.g. SNMP), for potential enforcement or correction actions. In addition, this information could be fed to analytics systems to enable failure prediction, and can also be used for intelligent workload placement.

All developed features will be upstreamed to Open Source projects relevant to telemetry such as collectd, and relevant Openstack projects.