=Paper= {{Paper |id=None |storemode=property |title=Agent-based monitoring system for cloud/Grid computing |pdfUrl=https://ceur-ws.org/Vol-752/64peregudetal.pdf |volume=Vol-752 |dblpUrl=https://dblp.org/rec/conf/asa/PeregudZPG11 }} ==Agent-based monitoring system for cloud/Grid computing== https://ceur-ws.org/Vol-752/64peregudetal.pdf
PROCEEDINGS OF THE WORKSHOP ON APPLICATIONS OF SOFTWARE AGENTS
ISBN 978-86-7031-188-6, pp. 64, 2011




             Agent-based monitoring system for cloud/Grid
                            computing

                Gleb Peregud, Julian Zubek, Marcin Paprzycki, Maria Ganzha




   1 Abstract

   Goal of the project is to create a robust, fault tolerant, agent-based monitoring system,
   which is capable of working in cloud/Grid type environment with zero configuration.
   Created solution should be helpful for system administrators (of a clouds / Grids). To
   provide additional information about the situation a rule-based inferencing system is
   going to be included in it. It can be used to provide alerts, additional information and
   detecting complex problems, based on cumulative knowledge about the state of the
   system.
      Task of resource monitoring is already solved by monitoring systems, e.g. Ganglia
   (requires little configuration) or Nagios (requires extensive configuration). Our
   approach should be more extensible, since we attempt at applying software agents.
      Very important part of the system is inclusion of some basic inferencing
   capabilities. Due to such approach, at this stage, we are able to implement simple AI
   based on rule-based inferencing system, which is able to provide additional
   information for user of the system (system administrators). The following scenarios
   are detected by the system (subject to some limitations):
   • detecting severed network connection
   • detecting non-responding node in a cloud
   • detecting dead monitoring agent on a node
   Interestingly, the preliminary version of the system skeleton has been implemented
   using EXAT software environment.




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