Network Function Virtualization (NFV) Performance Metrics

This dataset provides granular, time-stamped performance metrics for virtual and cloud-native network functions, including resource utilization, orchestration details, scaling events, and infrastructure allocation. It enables in-depth analysis of NFV operations, resource efficiency, and orchestration effectiveness across platforms such as Kubernetes and OpenStack. Ideal for network performance monitoring, optimization, and benchmarking in telecom and cloud environments.

  • last updated 1 Nov 2025
  • by GoMask
The brief that made it

Real-time monitoring and alerting for network function performance

Sample rows

preview · 8 of 250 rows · all 20 columns
record_idstringmano_statusstringnetwork_throughput_mbpsfloatnf_namestringnf_typestringnf_instance_idstringorchestration_platformstringvim_namestringmano_instance_idstringtimestampdatetimecpu_utilization_percentfloatmemory_utilization_mbfloatstorage_utilization_gbfloatscaling_event_typestringscaling_event_reasonstringcontainer_countintegervim_cpu_allocatedfloatvim_memory_allocated_mbfloatvim_storage_allocated_gbfloatnotesstring
rec-00001running1985.6firewallCNFcnf-ny-001Kubernetesvim-nyc-k8s-1mano0012024-05-01T10:22:31Z92.324256.7158.2scale_upTraffic spike during quarterly reporting122432768256Scaling triggered by heavy reporting load.
rec-00002running225.3load balancerVNFvnf-sfo-003OpenStackvim-sfo-os-1mano0022024-05-01T11:46:15Z33.23128.224.1noneblankblank4409632Routine operation, normal load observed.
rec-00003running44.2database proxyCNFcnf-lon-007Kubernetesvim-lon-k8s-2mano0032024-05-01T13:28:09Z8.7321.88.2scale_downLow off-peak usage detected.22102412Off-hours, resources scaled down to save cost.
rec-00004error1324.8deep packet inspectionVNFvnf-ny-004OpenStackvim-nyc-os-2mano0042024-05-01T13:47:45Z90.18950.236.8scale_upSecurity event: DDoS mitigation.blank161228870High CPU; DDoS mitigation in progress.
rec-00005running1344.3service endpointCNFcnf-bos-002Kubernetesvim-bos-k8s-1mano0052024-05-01T15:08:27Z61.717451.4204.5scale_upAPI request burst from mobile clients.101224576256API endpoint scaled up for demand.
rec-00006pending4.1network address translationCNFcnf-sfo-004Kubernetesvim-sfo-k8s-1mano0062024-05-02T09:14:01Z2.161.31.2noneblank00.51282Test deployment; not in production.
rec-00007running329.9gatewayVNFvnf-ny-002OpenStackvim-nyc-os-3mano0072024-05-02T10:45:23Z48.84096.530.6noneblankblank8819240Routine gateway operation, stable performance.
rec-00008running375.6caching serviceCNFcnf-ny-005Kubernetesvim-nyc-k8s-2mano0082024-05-02T12:18:50Z77.47112.660.3scale_upCache miss ratio exceeded threshold.881638480Cache scaled up for increased hit rates.

What the 250 rows show

from the 250-row sample

Error (mano status) stands out: mean network_throughput_mbps is 3,699, against 637.3 for the rest.

  • 179.6median network_throughput_mbps
  • 2nf types
  • 3orchestration platforms
  • 3scaling event types
  • 35.8median cpu_utilization_percent
  • 2,449median memory_utilization_mb
Mean network_throughput_mbps by mano_status250 rows
02,0004,000839.4running168 rows23.6stopped12 rows3,699error28 rows4.1pending42 rows
network_throughput_mbps250 rows, in bands of 500
085170168317121139761402,5005,000network_throughput_mbps →

Median 179.6, from 0.0 to 5,000.

nf_name250 rows · 8 values
  1. firewall40
  2. service endpoint38
  3. load balancer33
  4. database proxy29
  5. deep packet inspection29
  6. caching service28
  7. network address translation27
  8. gateway26
20 columns by typefrom the column list below
  • string 11
  • integer 1
  • float 7
  • datetime 1

Columns

20 columns in three groups
blueprint · 20 columns
columntypedescriptionexample
Text 11 columns
record_idstringUnique identifier for each performance metric recorduniquerec-00001
nf_typestringType of network function (VNF or CNF)VNF · CNFCNF
nf_instance_idstringUnique identifier for the network function instancecnf-ny-001
nf_namestringName of the network function (e.g., firewall, load balancer)8 namesfirewall
orchestration_platformstringName of the orchestration platform (e.g., Kubernetes, OpenStack)Kubernetes · OpenStack · OtherKubernetes
vim_namestringName of the Virtual Infrastructure Manager (VIM) allocating resourcesoptionalvim-nyc-k8s-1
mano_instance_idstringIdentifier for the MANO (Management and Orchestration) instance managing the NFoptionalmano001
scaling_event_typestringType of scaling event (e.g., scale_up, scale_down, none)scale_up · scale_down · none · optionalscale_up
scaling_event_reasonstringReason for the scaling event, if applicableoptionalData migration completed
mano_statusstringCurrent status reported by the MANO instance (e.g., running, stopped, error)running · stopped · error · pending · optionalrunning
notesstringAdditional notes or comments about the metric recordoptionalScaling triggered by heav…
Numbers 8 columns
cpu_utilization_percentfloatCPU utilization percentage for the network function instance0 to 10092.3
memory_utilization_mbfloatMemory utilization in megabytes for the network function instance0 or more24256.7
storage_utilization_gbfloatStorage utilization in gigabytes for the network function instance0 or more158.2
network_throughput_mbpsfloatNetwork throughput in Mbps for the network function instance0 or more · optional1985.6
container_countintegerNumber of containers/pods running for the CNF/VNF instance0 or more · optional12
vim_cpu_allocatedfloatCPU resources allocated by the VIM (in vCPUs)0 or more · optional24
vim_memory_allocated_mbfloatMemory resources allocated by the VIM (in MB)0 or more · optional32768
vim_storage_allocated_gbfloatStorage resources allocated by the VIM (in GB)0 or more · optional256
Dates and times 1 column
timestampdatetimeDate and time when the metric was collected2024-05-01T10:22:31Z

Use it for

  • median network…179.6250 rowsmean network throughp…839.4runn…23.6stop…3.7kerror4.1pend…

    A telecommunications dashboard

    Network_throughput_mbps by mano_status and a breakdown of nf_name. Excel, Power BI or Tableau.

  • Why do the 28 error rows have a mean network_throughput_mbps of 3,699?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable records with nf_type, nf_instance_id and nf_name to fill a screen in front of a buyer.

Not quite right?

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This dataset250 rows20 columns
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blueprint · network-function-virtualization-nfv-performance-metrics

Behind this dataset

Same schema. As many rows as you need.

These 250 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • VNF/CNF instance ID and network service (vEPC, vIMS, vCDN, etc.)
  • Deployment type: VM-based VNF or container-based CNF (Kubernetes pods)
  • CPU utilization percentage and CPU pinning/NUMA optimization
  • Memory utilization and huge pages allocation for performance
  • Storage IOPS (input/output operations per second) for databases
  • Network throughput and SR-IOV/DPDK acceleration enablement
  • VNF scaling events: scale-out (add instances), scale-in (remove instances)
  • MANO (Management and Orchestration): NFVO, VNFM lifecycle operations
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
network-function-virtualization-nfv-performance-metrics

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