perhaps more relevant to nanog-futures list but i'll assume everyone cares. k ----- Forwarded message from Bob Braden <braden@ISI.EDU> ----- Date: Mon, 28 Feb 2005 08:50:30 -0800 (PST) From: Bob Braden <braden@ISI.EDU> Subject: [e2e] ACM SIGCOMM 2005 Workshop on Mining Network Data (MineNet-05) To: end2end-interest@postel.org ------------------------------------------------------------------- Call for papers ****************************************************************** * * * SIGCOMM 2005 Workshop on Mining Network Data (MineNet-05) * * * * (to be held with SIGCOMM 2005, Aug 20-26, Philadelphia, USA) * * * * http://www.acm.org/sigs/sigcomm/sigcomm2005/cfp-minenet.html * ****************************************************************** Today's IP networks are extensively instrumented for collecting a wealth of information including traffic traces (e.g., packet or flow level traces), control (e.g., router forwarding tables, BGP and OSPF updates), and management (e.g., alarms, SNMP traps) data. The real challenge is to process and analyze this vast amount of primarily unstructured information and extract structures, relationships, and "higher level knowledge" embedded in it and use it to aid network management and operations. The goal of this one day workshop is to explore new directions in network data collection, storage, and analysis techniques, and their application to network monitoring, management, and remediation. The workshop will provide a venue for researchers and practitioners from different backgrounds, including networking, data mining, machine learning, and statistics, to get together and collaboratively approach this problem from their respective vantage points. We are soliciting original/position papers on topics (including, but not limited to) listed below. - Collection, storage & access infrastructure: platform instrumentation (e.g. multi-modal, multi-resolution sensors), collection techniques (e.g. event sampling, filtering, aggregation, etc.), storage and access (e.g. retention policy, indexing techniques etc.). - Network data analytics techniques & tools: network stream mining, network graph mining, micro-clustering, temporal and statistical correlation, causality tracking, machine learning. - Applications to network operations & management: network problem determination, network reliability and performance, root-cause analysis, security, emerging phenomenon detection (e.g. DDoS, virus/worm, spam etc.), traffic classification. Of particular interest are (i) new solution techniques as well as applications of existing techniques from data mining, machine learning and statistics to IP network problems, (ii) experiences with the use of such techniques for IP networks, and (iii) open networking problems and challenges that would benefit from the use of such techniques. Selected papers will be forward-looking, with impact and implications for both operational networks and ongoing or future research. Submission Instructions ----------------------- Papers should be at most 6 pages long, in standard ACM format (single-spaced, double column, at least 10pt font). Accepted papers will appear in the workshop proceedings. Authors of accepted papers are expected to present their work at the workshop. Detailed submission guidelines will be available soon at http://www.acm.org/sigs/sigcomm/sigcomm2005/cfp-minenet.html. Important Dates --------------- Submission Deadline: Wed, April 6, 2005, 9.00 PM EST Notification Deadline: May 10, 2005 Camera Ready Deadline: May 30, 2005 Workshop Date: Aug 26, 2005 Workshop Organizing Chairs -------------------------- Subhabrata Sen, AT&T Research Chuanyi Ji, Georgia Tech Debanjan Saha, IBM Research Joe McCloskey, Dept. of Defense Technical Program Committee ---------------------------- Constantinos Dovrolis, Georgia Tech. Chuanyi Ji, Georgia Tech. Nick Koudas, Univ. of Toronto Vipin Kumar, Univ. of Minnesota Joe McCloskey, Dept. of Defense Robert Novak, Univ. of Wisconsin-Madison Rajeev Rastogi, Lucent Bell Labs John Reumann, IBM Research Jennifer Rexford, Princeton Univ. Mathew Roughan, Univ. of Adelaide Debanjan Saha, IBM Research Subhabrata Sen, AT&T Research William Szewczyk, Dept. of Defense Walter Willinger, AT&T Research Zhi-Li Zhang, Univ. of Minnesota ----- End Included Message ----- ----- End forwarded message -----