Computing histograms of local variables for real-time monitoring using aggregation trees

  • Authors:

  • Dan Jurca;Rolf Stadler

  • Affiliations:

  • Laboratory for Communication Networks, Royal Institute of Technology, Stockholm, Sweden;Laboratory for Communication Networks, Royal Institute of Technology, Stockholm, Sweden

  • Venue:
  • IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
  • Year:
  • 2009

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Abstract

In this paper we present a protocol for the continuous monitoring of a local network state variable. Our aim is to provide a management station with the value distribution of the local variables across the network, by means of partial histogram aggregation, with minimum protocol overhead. Our protocol is decentralized and asynchronous to achieve robustness and scalability, and it executes on an overlay interconnecting management processes in network devices. On this overlay, the protocol maintains a spanning tree and updates the histogram of the network state variables through incremental aggregation. The protocol allows to control the trade-off between protocol overhead and a global accuracy objective. This functionality is implemented by a dynamic configuration of local error filters that control whether an update is sent towards the management station or not. We evaluate our protocol by means of simulations. Our results demonstrate the controllability of our method in a wide selection of scenarios, and the scalability of our protocol for large-scale networks.