The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Fast time-series searching with scaling and shifting
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
On the network impact of dynamic server selection
Computer Networks: The International Journal of Computer and Telecommunications Networking
On the constancy of internet path properties
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
End-to-end available bandwidth: measurement methodology, dynamics, and relation with TCP throughput
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Multivariate resource performance forecasting in the network weather service
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
The Livny and Plank-Beck Problems: Studies in Data Movement on the Computational Grid
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Logistical multicast for data distribution
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
Tapestry: a resilient global-scale overlay for service deployment
IEEE Journal on Selected Areas in Communications
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Today, internet researchers, engineers, and application writers have at their disposal a number of methods for measuring end-to-end internet performance. Additionally, many wide-area applications make heavy use of measurement techniques to optimize their performance. Despite this, there is no widely accepted method for determining if two tools or techniques produce equivalent results, or if feedback from a tool is relevant to the application that employs it. In this paper, we apply current technologies in time series databases and network performance modeling to the problem of comparing network bandwidth time series. Using these techniques, we present a methodology to evaluate the level of similarity between two time series