Abstract
Latency is one of the key parameters of Internet services. However, it is difficult to correctly assess a service by its latency. Many latency measurements are blocked en route by routers and firewalls. For this reason, the service latency is not fully known. This work proposes a method to assess Internet services including the blocked latency measurements. Survival theory is applied to process latency values. The results show that the omission of blocked latencies from statistical processing severely underestimates the service latency. Two Internet service providers were compared as an example. Their latency difference was 9 ms using the traditional approach. The survival latency resulted in a difference of 17 ms. The method of survival latency can be used to increase revenues in e-commerce and to improve the experience of online gaming.
Reference28 articles.
1. Service requirements for cyber-physical control applications in vertical domains;3GPP,2021
2. Server location verification augmenting (SLV) and server location pinning: TLS authentication;Abdou;ACM Transactions on Privacy and Security (TOPS),2017
3. The state of online retail performance. White paper;Akamai,2017
4. Lessons learned from using the RIPE atlas platform for measurement research;Bajpai;ACM SIGCOMM Computer Communication Review,2015
5. On-the-fly servers placement for online multiplayer games in the fog;Benamer,2021