An analysis of wide-area name server traffic: a study of the Internet Domain Name System
SIGCOMM '92 Conference proceedings on Communications architectures & protocols
Characterizing large DNS traces using graphs
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
DNS performance and the effectiveness of caching
IEEE/ACM Transactions on Networking (TON)
Evaluating a new approach to strong web cache consistency with snapshots of collected content
WWW '03 Proceedings of the 12th international conference on World Wide Web
Proactive Caching of DNS Records: Addressing a Performance Bottleneck
SAINT '01 Proceedings of the 2001 Symposium on Applications and the Internet (SAINT 2001)
Detecting mass-mailing worm infected hosts by mining DNS traffic data
Proceedings of the 2005 ACM SIGCOMM workshop on Mining network data
Characteristics of streaming media stored on the Web
ACM Transactions on Internet Technology (TOIT)
Piggybacking related domain names to improve DNS performance
Computer Networks: The International Journal of Computer and Telecommunications Networking
Maintaining Strong Cache Consistency for the Domain Name System
IEEE Transactions on Knowledge and Data Engineering
Peeking Through the Cloud: Client Density Estimation via DNS Cache Probing
ACM Transactions on Internet Technology (TOIT)
DNS prefetching and its privacy implications: when good things go bad
LEET'10 Proceedings of the 3rd USENIX conference on Large-scale exploits and emergent threats: botnets, spyware, worms, and more
Computer Networks: The International Journal of Computer and Telecommunications Networking
On measuring the client-side DNS infrastructure
Proceedings of the 2013 conference on Internet measurement conference
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In this work, we propose a novel methodology that can be used to assess the relative popularity for any Internet application based on the data servers it uses. The basic idea is to infer popularity of data servers by periodically "poking" at local Domain Name servers (LDNSs) that service Domain Name System requests from a set of users running Internet applications and determining if LDNSs have cached resource records for the data servers. This approach allows us to measure the relative percentage of pokes that result in a cache hit as a coarse measure of the relative popularity of a particular data server among the users of a given LDNS. In addition, the time-to-live (TTL) of cached DNS resource records can be used to measure the gaps in time when a resource record for a data server is not cached. The cache gaps can be used to infer request interarrivals for more popular data servers.The methodology can be applied to any Internet application that uses distinguished server names and performs DNS lookups on these names as part of application use. The methodology can be used to collect usage information from any LDNS that accepts DNS queries. As example applications of the methodology, we evaluate the relative popularity of selected Web sites and the relative popularity of different Web servers serving content at a given Web site. We also apply the methodology to servers providing multimedia content, data servers for grid computing, and network game servers. We use data gathered from LDNSs of commercial and educational sites as well as Internet Service Providers serving both commercial and home customers.