Time series are a data type of utmost importance in many domains such as business management and service monitoring. We address the problem of visualizing large time-related data ...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
Similarity search in metric spaces is a general paradigm that can be used in several application fields. It can also be effectively exploited in content-based image retrieval syst...
We propose a novel methodology to generate realistic network flow traces to enable systematic evaluation of network monitoring systems in various traffic conditions. Our technique...
Peter Siska, Marc Ph. Stoecklin, Andreas Kind, Tor...
— Flexible distribution of data in the form of quantum bits (qubits) amongst spatially separated entities is an essential component of envisioned scalable quantum computing archi...
Rahul Ratan, Manish Kumar Shukla, A. Yavuz Oru&cce...
The Locator/Identifier Separation Protocol (LISP) is one of the candidate solutions to address the scalability issues in inter-domain routing. The current proposals for its contro...