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Title: Detecting and Refactoring Operational Smells within the Domain Name System
Authors: Radwan, Marwan
Heckel, Reiko
First Published: 10-Apr-2015
Citation: Electronic Proceedings in Theoretical Computer Science 181, 2015, pp. 113-128, 2015
Abstract: The Domain Name System (DNS) is one of the most important components of the Internet infrastructure. DNS relies on a delegation-based architecture, where resolution of names to their IP addresses requires resolving the names of the servers responsible for those names. The recursive structures of the inter dependencies that exist between name servers associated with each zone are called dependency graphs. System administrators' operational decisions have far reaching effects on the DNSs qualities. They need to be soundly made to create a balance between the availability, security and resilience of the system. We utilize dependency graphs to identify, detect and catalogue operational bad smells. Our method deals with smells on a high-level of abstraction using a consistent taxonomy and reusable vocabulary, defined by a DNS Operational Model. The method will be used to build a diagnostic advisory tool that will detect configuration changes that might decrease the robustness or security posture of domain names before they become into production.
DOI Link: 10.4204/EPTCS.181.8
ISSN: 2075-2180
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © M. Radwan & R. Heckel, 2015. All rights reserved.
Description: In Proceedings GaM 2015, arXiv:1504.02448
Appears in Collections:Published Articles, Dept. of Computer Science

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