MeasuRouting: A Framework for Routing Assisted Traffic Monitoring

NANO SCIENTIFIC RESEARCH CENTRE PVT.LTD.,  AMEERPET, HYD

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JAVA PROJECTS LIST--2013

JAVA 2013 IEEE PAPERS

MeasuRouting: A Framework for Routing Assisted Traffic Monitoring

Abstract

            Monitoring transit traffic at one or more points in a network is of interest to network operators for reasons of traffic accounting, debugging or troubleshooting, forensics, and traffic engineering. Previous research in the area has focused on deriving a placement of monitors across the network towards the end of maximizing the monitoring utility of the network operator for a given traffic routing. However, both traffic characteristics and measurement objectives can dynamically change over time, rendering a previously optimal placement of monitors suboptimal. It is not feasible to dynamically redeploy/reconfigure measurement infrastructure to cater to such evolving measurement requirements. We address this problem by strategically routing traffic sub-populations over fixed monitors. We refer to this approach as MeasuRouting.     The main challenge for MeasuRouting is to work within the constraints of existing intra-domain traffic engineering operations that are geared for efficiently utilizing bandwidth resources, or meeting Quality of Service (QoS) constraints, or both. A fundamental feature of intra-domain routing, that makes MeasuRouting feasible, is that intra-domain routing is often specified for aggregate flows. MeasuRouting, can therefore, differentially route components of an aggregate flow while ensuring that the aggregate placement is compliant to original traffic engineering objectives. In this paper we present a theoretical framework for MeasuRouting. Furthermore, as proofs-of-concept, we present synthetic and practical monitoring applications to showcase the utility enhancement achieved with MeasuRouting.

Existing System

            The optimal placement and configuration of monitoring infrastructure for a specific measurement objective typically assumes a priori knowledge about the traffic characteristics. Furthermore, these are typically performed at longer time scales to allow provisioning of required physical resources. However, traffic characteristics and measurement objectives may evolve dynamically, potentially rendering a previously determined solution suboptimal.

Proposed System

            We propose a new approach called MeasuRouting to address this limitation. MeasuRouting forwards network traffic across routes where it can be best monitored. Our approach is complementary to the well-investigated monitor placement problem that takes traffic routing as an input and decides where to place monitors to optimize measurement objectives; MeasuRouting takes monitor deployment as an input and decides how to route traffic to optimize measurement objectives. Since routing is dynamic in nature (a routing decision is made for every packet at every router), MeasuRouting can conceptually adjust to changing traffic patterns and measurement objectives. In this paper, the overall monitoring utility, defined as a weighted sum of the monitoring achieved over all flows, is our primary concern.

Software Requirement Specification

Software Specification

Operating System       :           Windows XP

Technology                 :           JAVA

Database                     :           Microsoft SQL Server 2005

Hardware Specification

Processor                     :           Pentium IV

RAM                           :           512 MB

Hard Disk                   :           80GB