Intelligent system monitoring on large clusters

Jimeng Sun, Evan Hoke, John D. Strunk, Gregory R. Ganger, Christos Faloutsos

Research output: Contribution to conferencePaperpeer-review

Abstract

Modern data centers have a large number of components that must be monitored, including servers, switches/routers, and environmental control systems. This paper describes InteMon, a prototype monitoring and mining system for data centers. It uses the SNMP protocol to monitor a new data center at Carnegie Mellon. It stores the monitoring data in a MySQL database, allowing visualization of the time-series data using a JSP web-based frontend interface for system administrators. What sets InteMon apart from other cluster monitoring systems is its ability to automatically analyze correlations in the monitoring data in real time and alert administrators of potential anomalies. It uses efficient, state of the art stream mining methods to report broken correlations among input streams. It also uses these methods to intelligently compress historical data and avoid the need for administrators to configure threshold-based monitoring bands.

Original languageEnglish (US)
Pages47-52
Number of pages6
DOIs
StatePublished - Dec 1 2006
Externally publishedYes
Event3rd International Workshop on Data Management in Sensor Networks, DMSN'06, in Conjunction with Very Large Data Bases, VLDB 2006 - Seoul, Korea, Republic of
Duration: Sep 11 2006Sep 11 2006

Conference

Conference3rd International Workshop on Data Management in Sensor Networks, DMSN'06, in Conjunction with Very Large Data Bases, VLDB 2006
CountryKorea, Republic of
CitySeoul
Period9/11/069/11/06

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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