@conference {14723,
	title = {PLANet: an active internetwork},
	booktitle = {IEEE INFOCOM {\textquoteright}99. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings},
	volume = {3},
	year = {1999},
	month = {1999/03/21/25},
	pages = {1124-1133 vol.3 - 1124-1133 vol.3},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {We present PLANet: an active network architecture and implementation. In addition to a standard suite of Internet-like services, PLANet has two key programmability features: (1) all packets contain programs; and (2) router functionality may be extended dynamically. Packet programs are written in our special purpose programming language PLAN, the Packet Language for Active Networks, while dynamic router extensions are written in OCaml, a dialect of ML. Currently, PLANet routers run as byte-code-interpreted Linux user-space applications, and support Ethernet and IP as link layers. PLANet achieves respectable performance on standard networking operations: on 300 MHz Pentium-II{\textquoteright}s attached to 100 Mbps Ethernet, PLANet can route 48 Mbps and switch over 5000 packets per second. We demonstrate the utility of PLANet{\textquoteright}s activeness by showing experimentally how it can nontrivially improve application and aggregate network performance in congested conditions},
	keywords = {100 Mbit/s, 300 MHz, 48 Mbit/s, active internetwork, active network architecture, active network implementation, byte-code-interpreted applications, Computer architecture, Computer languages, Computer networks, congested conditions, dynamic programming, dynamic router extensions, Ethernet, Ethernet networks, INFORMATION SCIENCE, Internet, Internet-like services, internetworking, IP, IP networks, link layers, Linux user-space applications, Local area networks, ML dialect, Network performance, networking operations, OCaml, Packet Language for Active Networks, packet programs, packet switching, Pentium-II, performance, performance evaluation, PLAN, PLANet, Planets, programmability features, programming languages, router functionality, special purpose programming language, Switches, telecommunication network routing, Transport protocols, Web and internet services},
	isbn = {0-7803-5417-6},
	doi = {10.1109/INFCOM.1999.751668},
	author = {Hicks, Michael W. and Moore,J. T and Alexander,D. S and Gunter,C. A and Nettles,S. M}
}
@conference {17335,
	title = {Query previews in networked information systems},
	booktitle = {Proceedings of the Third Forum on Research and Technology Advances in Digital Libraries, 1996. ADL {\textquoteright}96},
	year = {1996},
	month = {1996/05/13/15},
	pages = {120 - 129},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {In a networked information system (such as the NASA Earth Observing System-Data Information System (EOS-DIS)), there are three major obstacles facing users in a querying process: network performance, data volume and data complexity. In order to overcome these obstacles, we propose a two phase approach to query formulation. The two phases are the Query Preview and the Query Refinement. In the Query Preview phase, users formulate an initial query by selecting rough attribute values. The estimated number of matching data sets is shown, graphically on preview bars which allows users to rapidly focus on a manageable number of relevant data sets. Query previews also prevent wasted steps by eliminating zero hit queries. When the estimated number of data sets is long enough, the initial query is submitted to the network which returns the metadata of the data sets for further refinement in the Query Refinement phase. The two phase approach to query formulation overcomes slow network performance, and reduces the data volume and data complexity, problems. This approach is especially appropriate for users who do not have extensive knowledge about the data and who prefer an exploratory method to discover data patterns and exceptions. Using this approach, we have developed dynamic query user interfaces to allow users to formulate their queries across a networked environment},
	keywords = {Computer networks, data complexity, data mining, data patterns, data volume, dynamic query user interfaces, Educational institutions, EOS-DIS, exploratory method, Information retrieval, Information services, Information systems, Intelligent networks, interactive systems, Laboratories, Manipulator dynamics, matching data sets, NASA Earth Observing System-Data Information System, Network performance, networked environment, networked information systems, query formulation, query preview, query refinement, querying process, rough attribute values, User interfaces, visual databases, zero hit queries},
	isbn = {0-8186-7403-2},
	doi = {10.1109/ADL.1996.502522},
	author = {Donn,K. and Plaisant, Catherine and Shneiderman, Ben}
}
