NDLI: Adaptive distributed monitoring with accuracy objectives

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Adaptive distributed monitoring with accuracy objectives

Content Provider	ACM Digital Library
Author	Prieto, Alberto Gonzalez Stadler, Rolf
Abstract	We present A-GAP, a novel protocol for continuous monitoring of network state variables, which aims at achieving a given monitoring accuracy with minimal overhead. Network state variables are computed from device counters using aggregation functions, such as SUM, AVERAGE and MAX. The accuracy objective is expressed as the average estimation error. A-GAP is decentralized and asynchronous to achieve robustness and scalability. It executes on an overlay that interconnects management processes on the devices. On this overlay, the protocol maintains a spanning tree and updates the network state variables through incremental aggregation. It dynamically configures local filters that control whether an update is sent towards the root of the tree. It reduces the overhead by attempting to minimize the maximum processing load over all management processes. We evaluate A-GAP through simulation using an ISP topology and real traces. The results show that we can effectively control the trade-off between accuracy and protocol overhead, that the overhead can be reduced significantly by allowing small errors, and that an accurate estimation of the error distribution can be provided in real-time.
Starting Page	65
Ending Page	70
Page Count	6
File Format	PDF
ISBN	1595935703
DOI	10.1145/1162638.1162649
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-09-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Adaptive systems Large-scale distributed systems Distributed management Real-time monitoring
Content Type	Text
Resource Type	Article

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