+2 
This aligns with the survey response I shared during our previous session. I would also like to propose including a standard definition of key terms, such as RSS Physical Server Density—potentially from a continental or specific geographical perspective—and an RSS Resilience Factor or Calculation. For example, the "RSS Resilience Calculation" could refer to a set of analytical techniques and metrics used to assess the overall capacity of the entire Root Server System (RSS) to withstand failures, attacks (such as Denial of Service), and operational disruptions. Resilience might be characterized by factors like global diversity and redundancy. This is just a preliminary idea and can certainly be refined further.

On Wed, Nov 12, 2025 at 4:27 PM Dessalegn Yehuala via rssac-caucus <rssac-caucus@icann.org> wrote:
+1
I am in favor of the proposed work item. I recall suggesting a highly similar work item in a previous RSSAC annual survey, titled “Operationalizing RSSAC metrics,” where I outlined the motivations and specific goals in high-level terms.

Dessalegn

On Wed, Nov 12, 2025 at 3:48 PM Renard, Kenneth D CTR USARMY DEVCOM ARL (USA) via rssac-caucus <rssac-caucus@icann.org> wrote:
I want to spark discussion among the RSSAC caucus regarding a potential work item introduced at recent caucus meetings.  If there is enough interest in the topic, we could pursue a Statement of Work (SoW) to propose such a work item to the RSSAC.
                        
"Interpreting RSS Metrics"                                               
      
There are many open measurements of the Root Server System (RSS) which can be used to monitor and assess RSS performance.  Interpretation of these measurements can sometimes be misleading.
  1. Studies often focus on latency, which is a relatively unimportant metric (considering the number of queries actually made to the RSS).  Availability and correctness seem to be more important with respect to the RSS.
  2. Another focus is on the number and geographic distribution of the root server instances.  While this distribution can be important, there are often other considerations (such as peering/routing) that can have bigger impacts.
  3. Connectivity or platform errors in the measurement system can affect results which are sometimes tough to account for.
  4. Are there other metrics that could help inform a [resolver operator, network engineer, <who else>] ?
        
What do caucus members think of a work party on "Interpreting RSS Metrics" (working title, open to discussion)?  The purpose is to inform the DNS community on how to best interpret and use RSS metrics (again, open to discussion).  How can we refine the topics listed above?  What other topics/measurements would be good to include?  How can the DNS community use these metrics to their advantage?  How do we keep a potential work party from getting too deep into problem solving (for example: trying to fix peering issues)?  

-Ken
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Kunle Olorundare (MNSE, PRINCE2)
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