Understanding Evolution and Adoption of Top Level Domains and DNSSEC

Song, Yo-Der; Mahanti, Anirban; Ravichandran, Soorya Charan

doi:10.1109/iwmn.2019.8805011

Cited by 11 publications

(3 citation statements)

References 11 publications

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“…Many empirical studies on various types of network traffic also validate the presence of power-law characteristics [3]. Analysis of traffic patterns on cloud platforms [4], DNS servers [5], video streams [6], web and peer to peer networks [7], wifi network [8], satellite network [9] time between consecutive anomalies [10] establish the existence of power-law behavior. One main proposition of these studies is that the inter-arrival time of packets or requests follow power law distribution like Pareto.…”

Section: Introductionmentioning

confidence: 86%

Analysis of Power-law Queues Using Maximum Entropy Framework: An Application to Performance Evaluation of Network Systems

Sharma

2023

Preprint

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Extensive research on traffic of modern communication networks including Internet and wireless establish the presence of power-law behavior. However, developing traffic models capturing power-law characteristics is a difficult task due to analytical intractability. Adopting maximum entropy approach, a theoretical model Pow/Pow/1/∞ has been proposed recently. The paper extends the framework to build two new theoretical models Pow/Pow/1/K and Pow/Pow/K/K where both inter-arrival and service times follow power law distribution. Closed form expressions of queue length distribution and various performance measures are derived in terms of traffic intensity ρ. An explicit expression for state probability distribution of Pow/Pow/K/K is also derived and compared with well-known Erlang loss formula. Both queue length distribution and blocking probability are found to depict power-law implying that increasing buffers have little impact on improving the performance of systems in these cases. Numerical computations reveal that the mean queue length explodes as ρ tends to 0.5 resulting in longer delay. The variance of number of packets also depicts sharp rise as ρ approaches to 0.3. These results are in close agreement with the empirical studies carried out on real traffic traces in the past. The proposed models are useful in designing networks, dimensioning resources and developing congestion control algorithms.

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Section: Introductionmentioning

confidence: 86%

Analysis of Power-law Queues Using Maximum Entropy Framework: An Application to Performance Evaluation of Network Systems

Sharma

2023

Preprint

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“…DNS is an Internet service that maps human-readable names into machine-readable IP addresses [15], [16]. In DNS-based solutions, authoritative nameservers monitor the condition of application servers, e.g., server load, and keep track of the routing information from the servers to the rest of the Internet, e.g., end-to-end latency.…”

Section: Dns-based Solutionsmentioning

confidence: 99%

Artemis: A Latency-Oriented Naming and Routing System

Chen

Zhou

et al. 2022

IEEE Trans. Parallel Distrib. Syst.

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Today, Internet service deployment is typically implemented with server replication at multiple locations. Domain name system (DNS), which translates human-readable domain names into network-routable IP addresses, is typically used for distributing users to different server replicas. However, DNS relies on several network-based queries and the queries delay the connection setup process between the client and the server replica. In this paper, we propose Artemis, a practical low-latency naming and routing system that supports optimal server (replica) selection based on user-defined policies and provides lower query latencies than DNS. Artemis uses a DNS-like domain name-IP mapping for replica selection and achieves low query latency by combining the name resolution process with the transport-layer handshake process. In Artemis, all of the server replicas at different locations share the same anycast IP address, called Service Address. Clients use the Service Address to establish a transport-layer connection with the server. The client's initial handshake packet is routed over an overlay network to reach the optimal server. Then the server migrates the transport layer connection to its original unicast IP address after finishing the handshake process. After that, service discovery is completed, and the client communicates with the server directly via IP addresses. To validate the effectiveness of Artemis, we evaluate its performance via both real trace-driven simulation and real-world deployment. The result shows that Artemis can handle a large number of connections and reduce the connection setup latency compared with state-of-the-art solutions. More specifically, our deployment across 11 Google data centers shows that Artemis reduces the connection setup latency by 39.4% compared with DNS.

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“…A DNSSEC-enabled client may thus detect and discard fake DNS data provided by an attacker that impersonates the nameserver of the zone of those data (or that provides those fake data in the form of cached responses). DNSSEC deployment and maintenance is complex [60,61,62] and many operators are reluctant to adopt this technology because its overall costs tend to be perceived as greater than its benefits (a concise yet highly useful summary of this issue can be found in [63]). DNSSEC is currently deployed at a small percentage of all the DNS zones and its deployment is uncommon even in zones highly ranked in terms of user traffic [64].…”

Section: Dns Security Extensions (Dnssec)mentioning

confidence: 99%

Robustness analysis of DNS paths and web access paths in public administration websites

Bartoli

2021

Computer Communications

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Understanding Evolution and Adoption of Top Level Domains and DNSSEC

Cited by 11 publications

References 11 publications

Analysis of Power-law Queues Using Maximum Entropy Framework: An Application to Performance Evaluation of Network Systems

Analysis of Power-law Queues Using Maximum Entropy Framework: An Application to Performance Evaluation of Network Systems

Artemis: A Latency-Oriented Naming and Routing System

Robustness analysis of DNS paths and web access paths in public administration websites

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