Tech View: Network Science and the Internet: Lessons Learned
in this series, contact: firstname.lastname@example.org Tech View: Network Science and the Internet: Lessons Learned To demonstrate the ability of network science to predict the beh
The Data-Driven Approach to Network Management: Innovation Delivered
), typically interrupt network service. Customers with single-link connectivity (many customers ... demands and no tolerance for delay. These new services add immeasurable complexity to the jo
The Evolution of Internet Threats: A Case for Security in the Network Cloud
false Security, network management Farnam Jahanian Farnam Jahanian is Professor and Chair ... . His research interests include distributed computing, network security, and network
Data-Driven Network Analysis: Do You Really Know Your Data?
such as the Internet. A "dirty little secret" of network measurements is that what we can ... for the purpose of inferring certain types of Internet-related connectivity structures
Darkstar is a comprehensive network data resource and architecture that normalizes data from across AT&T networks and makes it easily accessible from one place.
Wireless Demand Forecasting, Network Capacity Analysis, and Performance Optimization
State-of-the art analytical approaches encompassing statistical methods, constraint optimization techniques, queuing models, graph theory, and network flow models for wireless traffic engineering.
What Happened in my Network? Mining Network Events from Router Syslogs
What Happened in my Network? Mining Network Events from Router Syslogs Tongqing Qiu† Zihui Ge‡ Dan ... of the most valuable data sources for monitoring network health and for tro
Optical Network Management and Control
as presented, with the exception of pagination. INVITED PAPER Optical Network Management and Control This article discusses optical network management, control, and operation from the p
Compositional binding in network domains
Pamela Zave Compositional binding in network domains Proceedings of the Fourteenth International Symposium on Formal Methods 332-347 SpringerVerlag LNCS 4085
Detection of Spam Hosts and Spam Bots Detection using Network Flow Traffic Modeling
Detection of Spam Hosts and Spam Bots Using Network Flow Traffic Modeling Willa K. Ehrlich, Anestis ... for detecting e-mail spam originating hosts, spam bots and their respective controllers