News

[Nov 17] - Assignment 4 posted.

Course Information

• Lecture: MWF  9:30 AM - 10:45AM at 1263 Comp Sci & Stat.

• Assignment:
• Assignment 1: HTML Due Sept 22
• Assignment 2: HTML Due Oct 6
• Assignment 3: HTML Due Nov 5
• Assignment 4: HTML Due Dec 17
 
• Condor ClassAd:
• Home Page - HTML
• Slides of the talk-Postscript
• ClassAd Paper - Postscript
• Running ClassAd Queries -  Text
• Documentation of Java Implementation - HTML
• Documentation of C++ Implementation - HTML
 
• DEVise Software:
• Home Page - HTML
• User Manual - Postscript (Please do not print this file as it contains many images and will take at least half an hour!)
• Initialization Instructions - Text

Professor: Miron Livny

Office: 7367 Computer Sciences
Hours: 11:00-12:00 MW
Phone: 262-0856
E-mail: miron@cs.wisc.edu

Teaching Assistant: Zhiqi Qiu

Office: 1335 Computer Sciences
Hours: 11:00-12:00 TR (tentatively)
Phone: 265-9453
E-mail: zqiu@cs.wisc.edu

CS 737 Course Project Proposals (From fall 97, so links might not work.)

• NETRA-VITO: Network Traffic Visualization Tool
• Multiprocessor Modeling
• DagMan - Dependent Job Batch Manager
• Network Bandwidth Usage Control in Condor
• Porting a Random Number Generator from C++ to Java
• Adding New Features to DEVise for Monitoring Computer System Activity
• Modelling and Generation of Traffic and Topology for MPLS Scalability Simulation
• A ZOO Database for Condor Jobs
• Condor Log Database in the ZOO Environment
• Implemetation of an event manager by using the synchronization package in Java
• Design and Implementation of a Disk Space Management System for Condor
• Collaborative Computing Support for DEVise
• The JAVA Implementation of Condor External Data Representation (Cedar) Class Library
• Resource allocation for parallel jobs in a Condor-like framework
• Managing Analytical Queuing Network Solutions with ZOO
• Java version Condor_Status
• Design and Implementation of Microsoft IIS and ASP Developers Testing Tool
• Controlled Checkpointing for Smooth Process Migration in Condor
• Scheduling a multi-processor machine