facebook
irp demo
Request Noction IRP Demo

Request a personalized demo/review session of our Intelligent Routing Platform

irp trial
Start Noction IRP Trial

Evaluate Noction IRP, and see how it meets your network optimization challenges

nfa demo
Noction Flow Analyzer Demo

Schedule a one-on-one demonstration of our network traffic analysis product

nfa trial
Free Noction Flow Analyzer Trial

Test drive NFA today with your own fully featured 30-day free trial

Tier 1 carrier performance report: December, 2017

The presented analysis is based on more than 900 million successful probes that span the entire month. All data is aggregated per carrier on a daily basis and accounts for many thousands of successful probes.

Disclaimer*:
The data presented in this report card is intended for information purposes only and is not to be interpreted as any form of promotion or debasement for carriers herein named. Information is obtained from the IRP Lite instances, where the compulsory consent of the legal entities for collection of such information is part of the Terms and Conditions document.

The data collection method comprises of a Netflow collector looking at destinations an installed network is speaking to and the explorer component then performing periodic probing via ICMP, UDP and TCP_Syn, checking the performance metrics. The presented data is well sampled, as most of the IRP Lite enhanced networks are typically speaking to around a third of the routing table each day.

< The report covers broadly used Tier 1 carriers performance results in the US and the general spread for the month of December 2017. For the US results, rare datapoints from distant locations e.g. Alaska have been omitted. The presented analysis is based on more than 900 million successful probes that span the entire month. All data is aggregated per carrier on a daily basis and accounts for many thousands of successful probes. A control group (labeled C) is used as a base for comparison. The control group aggregates the average for all transit providers in a network, including Tier 1 carriers.

Average loss and latency

Fig. 1. Average Loss and Latency in December 2017
The charts include a control group C (gray) to allow cross comparison.

The values for November 2017 are included for cross comparison.

low latency

Fig. 2. Average Loss and Latency in November 2017
The charts include a control group C (gray) to allow cross comparison.


Average packet loss analysis:

  • NTT and Level 3 kept the leading positions in December 2017, as in November 2017, and are closely followed by Zayo;
  • Cogent results for the month of December are close to the control group level;
  • A higher level of average loss has been registered for GTT, Telia and Hurricane Electric;
  • There aren’t any large discrepancies in the distribution of average packet loss for the analyzed Tier 1 carriers when comparing December and November data.

Average latency analysis:

  • In December 2017, Level 3 and NTT have registered lower average latency than the control group level value. XO, Zayo and Telia have registered the same results as the control group level;
  • The higher level of average latency registered GTT, followed by Hurricane Electric, Cogent and CenturyLink;
  • A significant change in average latency for the month of December, compared to November, has not been observed.

The charts below illustrate the performance of each carrier in comparison to the control group level.

packet loss and latency in December 2017

Fig. 3. Better or worse Loss and Latency in December 2017
The numbers are differences from average control group.

worse latency

Fig. 4. Better or worse Loss and Latency in November 2017
The numbers are differences from average control group.


In comparison with the control group for the month of December, 2017:

  • NTT and Level 3 showed better results in terms of Loss. The leader of this group, NTT, registered a lower packet loss average than the control group level (2,8%) by ~ 0.5%, followed by Level 3 (~ 0.2%). Zayo has shown approximately the same result as the control group. GTT showed substantially worse result in terms of Loss, exceeding the packet loss average by 0,7%. Telia surpassed the packet loss average by ~ 0.6%;
  • Level 3 and NTT presented better results in terms of Latency. Level 3 latency was lower than the average latency of the control group (125,1 ms) by ~ 10 ms, and NTT by ~ 9 ms. GTT’s average latency surpassed the control group value by ~ 20 ms. Hurricane Electric was highlighted with a latency surplus of ~ 15 ms compared to the control group average.

In comparison with the data for the month of November, 2017:

  • NTT and Level 3 kept their leader positions as in November in terms of Loss. XO, CenturyLink and Hurricane Electric increased the packet loss average in comparison with the previous month. GTT and Cogent improved their results in comparison with the November ones. Telia showed the same results as in November and remained in the group of Tier 1’s with higher packet Loss than the control group average;
  • Level 3, NTT and XO showed better results in terms of Latency. Other Tier 1s have kept approximately the same latency results as in November.

 

Loss

For the Loss analysis we use a scatter plot, where average values by control group are assumed on the diagonal while the horizontal and the vertical axis highlight carrier metrics. All data-points below the diagonal represent the better performing carriers and vice versa.

Abnormally large losses are still registered for a large number of datapoints. We consider excessive an average above 4.5% packet loss. Given the fact that Tier 1 carriers are characterized by both low loss values for some networks and abnormally high losses for other networks, the conclusion is that high loss values are not caused by the carriers themselves but rather are caused by the networks they service or the networks they peer with. Whether the true cause is poor design, over-provisioned links or deficiencies in peering governance – this report cannot tell. What we can mention is that for many networks, whether permanently or sporadically, there is definitely an opportunity to improve things.

packet loss analysis

Fig. 5. Loss values spread on average diagonal
Datapoints comparison with diagonal.

network loss

Fig. 6. Better or worse carrier loss (%)
Average placed on the zero line


A different representation of the above data places it around the control group (zero line) with gain values by carrier. Values are sorted and charted from left to right by increasing average loss. The chart depicts gains or worsening on a network based on the average control group’s performance – values are shown from left to right following better to worse loss values. The assumption of this analysis is that while a network’s conditions might be better or worse compared to other networks, the conditions tend to be equal across all carriers including the control group. While the carrier’s network is not the culprit causing additional loss, this analysis might be able to suggest whether those carriers peering with remote regions are deficient. Non-systemic issues with carriers will tend to cancel out with values being scattered equally above or below the zero line while systemic issues or gains will have a tendency to place a carrier consistently above or below it. The scatter plot highlights this assumption. More so, if we average gains or losses compared with the control group we expect the noise to cancel out.

datapoint packet loss

Fig. 7. Average packet loss gains/losses by carrier December 2017
Averages determined for ALL datapoints or a cutoff at 4.5% control group applied.

average packet loss

Fig. 8. Average packet loss gains/losses by carrier November 2017
Averages determined for ALL datapoints or a cutoff at 4.5% control group applied.


In December 2017, based on ALL data-points, the best position in terms of Loss was held by Centurylink, followed by Level 3, XO and Zayo. Other Tier 1s registered poorer results. Centurylink, after the cut off at the 4.5% control group level has been applied, kept the same position as in the ALL data-points representation. Stable results suggest that Centurylink has registered preponderantly lower value of loss for packets which transit it, below the 4.5%. Also, after cut off at the 4.5% control group level, XO showed better results in terms of Loss.

As in November, Centurylink is present in the winner group for both graphics. Telia, Cogent, NTT and Hurricane Electric have considerably worsened the results for ALL data-points. Level 3 and XO have improved their statistics in both graphics and migrated to the winners group. The positive tendency was registered by GTT, however it still maintained the negative results as in December.

Latency

For the Latency analysis we use a similar scatter plot to the one we used for Loss. It displays control group values on the diagonal while highlighting individual carrier measurements on the horizontal and on the vertical axis. Datapoints placed significantly and consistently below the average highlight better performing carriers while datapoints above the average highlight worse than average performance.

clusters datapoints

Fig. 9. Carrier latency with average group on the diagonal
Clusters of datapoints below diagonal highlight better performance


  • NTT was mostly present with the latency diapazon of 88 – 260 ms;
  • Level 3 and Cogent have registered results which depict traffic from local to very long distances (65 – 260 ms);
  • GTT has been mostly present within the latency diapazon of 120 – 200 ms;
  • Telia and XO are spotted within the latency diapazon of 60 – 175 ms;
  • CenturyLink has shown the latency between 85 -190 ms;
  • Zayo is spotted within the latency diapazon of 80 – 175 ms;
  • Hurricane Electric has been mostly present within the 120 – 200 ms latency range.

The results above linger around the diagonal with the following observations:

average latency values

Fig. 10. Average latency gains/losses by carrier Values averaged for the difference between carrier performance and the average group in that network.


The differences in latency from the control group shown above are averaged with the expectation that better or worse performance will cancel out if the differences are caused by the measurement noise.

The results show that during the month of December in comparison to November:

  • XO maintained the leading position, reducing its average RTT by ~12 ms. GT improved its average latency for each packet by ~ 3 ms. CenturyLink, Telia and Level 3 improved their results with ~2 ms for each packet;
  • Cogent and Hurricane Electric kept previous tendency, adding about 3 ms to their RTT.
Packet Loss and Latency spread charts highlighting individual Tier 1 carriers results are available upon request.

Boost BGP Performance

Automate BGP Routing optimization with Noction IRP

bgp demo


Tags: Tier 1

SUBSCRIBE TO NEWSLETTER

You May Also Like

ACK and NACK in Networking

ACK and NACK in Networking

In networking, communication between devices relies on the efficient exchange of data packets. Among the essential...

BGP and asymmetric routing

BGP and asymmetric routing

What is asymmetric routing? Asymmetric routing is a network communication scenario where the forward and reverse paths...