Replication for web hosting systems
ACM Computing Surveys (CSUR)
Replication for web hosting systems
ACM Computing Surveys (CSUR)
Scalable strong consistency for web applications
Proceedings of the 11th workshop on ACM SIGOPS European workshop
Practical large-scale latency estimation
Computer Networks: The International Journal of Computer and Telecommunications Networking
Broker-placement in latency-aware peer-to-peer networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Distributed redirection for the World-Wide Web
Computer Networks: The International Journal of Computer and Telecommunications Networking
A survey of DHT security techniques
ACM Computing Surveys (CSUR)
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
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This paper discusses SCoLE, a scalable system to estimateInternet latencies. SCoLE is based on GNP, whichmodels Internet latencies in an N-dimensional Euclideanspace. In contrast to GNP and other GNP-based systems,however, SCoLE does not employ any global space whoseparameters must typically be negotiated by the participatinghosts. Instead, it allows each host to construct its "private"space and model inter-host latencies in that space. The privatespace parameters as well as the modeling algorithmcan be adjusted on a per-host basis, which improves systemflexibility. More importantly, the mutual independenceof private spaces results in higher SCoLE scalability, whichis bound neither by the global negotiation of space parametersnor by global knowledge of any kind. We show thatlatency estimates performed in different private spaces arehighly correlated. This allows SCoLE to be used in large-scaleapplications where consistent latency estimates needto be performed simultaneously by many independent hosts.