Manuscript Number : CSEIT1722358
Reactive Network Monitoring Optimization System
Authors(3) :-Saranya T, Siddique Ibrahim S. P., Kirubakaran R
Reactive network monitoring consists of measuring the properties of the network to ensure that the system operates with desirable parameters. The management station queries the state of the network in order to react to alarm conditions that may develop in the network. Information about the network state can be collected using two different techniques: event reporting and polling. In event reporting, network elements distributed across the network push alarms and detailed event reports to the station. In polling, the station sends requests to obtain the status of network elements. Typically, polling is done periodically with a fixed frequency, determined by a critical time window within which the alarm condition has to be detected. A framework for minimizing the communication overhead of monitoring global system parameters in IP networks and sensor networks. A global system predicate is defined as a conjunction of the local properties of different network elements. A typical example is to identify the time windows when the outbound traffic from each network element exceeds a predefined threshold. Our main idea is to optimize the scheduling of local event reporting across network elements for a given network traffic load and local event frequencies.Each network element monitors a set of local properties and the central station is responsible for identifying the status of global parameters registered in the system.
Saranya T
Department of Computer Science and Engineering, Kumarguru College of Technology, Coimbatore, TamilNadu, India
Siddique Ibrahim S. P.
Department of Computer Science and Engineering, Kumarguru College of Technology, Coimbatore, TamilNadu, India
Kirubakaran R
Department of Computer Science and Engineering, Kumarguru College of Technology, Coimbatore, TamilNadu, India
Network Monitoring, Compressive Sensing, Network Tomography.
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Publication Details
Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 01-05
Manuscript Number : CSEIT1722358
Publisher : Technoscience Academy
URL : http://ijsrcseit.com/CSEIT1722358
