Report on the 2nd International Summer School on Network and Service Management (ISSNSM'08)

This report summarizes the 2nd International Summer School on Network and Service Management (ISSNSM'08), which was held at the Communication Systems Group (CSG) of the Department of Informatics (IFI), University of Zurich, Switzerland, on 2-6 June 2008. Supported by the European FP6 Network of Excellence for the Management of Internet Technologies and Complex Services (EMANICS), the ISSNSM presented within 5 days eight different topics, covering the areas of (1) security, (2) virtualization and simulations, and (3) network monitoring and management. All of these run for a full or half day, including a short theoretical introduction and larger practical lab course components, respectivel

Report on the 2nd International Summer School on Network and Service Management (ISSNSM'08)

This report summarizes the 2nd International Summer School on Network and Service Management (ISSNSM’08), which was held at the Communication Systems Group (CSG) of the Department of Informatics (IFI), University of Zurich, Switzerland, on 2–6 June 2008. Supported by the European FP6 Network of Excellence for the Management of Internet Technologies and Complex Services (EMANICS), the ISSNSM presented within 5 days eight different topics, covering the areas of (1) security, (2) virtualization and simulations, and (3) network monitoring and management. All of these run for a full or half day, including a short theoretical introduction and larger practical lab course components, respectively

Report on the 4th International Conference on Autonomous Infrastructures, Management, and Security (AIMS 2010) and the International Summer School on Network and Service Management (ISSNSM 2010)

This article contains the report on AIMS 2010, which was held June 23-25, 2010 at the Department of Informatics (IFI), University of Zürich, Switzerland and which was driven by the theme "Mechanisms for Autonomous Management of Networks and Services”. Furthermore, the report also synopsizes ISSNSM 2010, which was run June 21-23, 2010 at the same location and which offered a practical summer school on selected topics in network and service managemen

Two-Phase Defect Detection Using Clustering and Classification Methods

Autonomous fault management of network and distributed systems is a challenging research problem and attracts many research activities. Solving this problem heavily depends on expertise knowledge and supporting tools for monitoring and detecting defects automatically. Recent research activities have focused on machine learning techniques that scrutinize system output data for mining abnormal events and detecting defects. This paper proposes a two-phase defect detection for network and distributed systems using log messages clustering and classification. The approach takes advantage of K-means clustering method to obtain abnormal messages and random forest method to detect the relationship of the abnormal messages and the existing defects. Several experiments have evaluated the performance of this approach using the log message data of Hadoop Distributed File System (HDFS) and the bug report data of Bug Tracking System (BTS). Evaluation results have disclosed some remarks with lessons learned