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Measurouting: A Framework For Routing Assisted Traffic Monitoring

The document proposes a framework called MeasuRouting that strategically routes traffic subpopulations over fixed monitors to assist with traffic monitoring in a network. MeasuRouting aims to make existing monitor placements optimal even as traffic characteristics and measurement objectives change over time by differentially routing components of aggregate flows while ensuring overall routing complies with original traffic engineering goals. The paper presents the theoretical framework for MeasuRouting and provides examples of how it can enhance monitoring utility.

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Kavinhariharasudhan Sankaralingam
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124 views2 pages

Measurouting: A Framework For Routing Assisted Traffic Monitoring

The document proposes a framework called MeasuRouting that strategically routes traffic subpopulations over fixed monitors to assist with traffic monitoring in a network. MeasuRouting aims to make existing monitor placements optimal even as traffic characteristics and measurement objectives change over time by differentially routing components of aggregate flows while ensuring overall routing complies with original traffic engineering goals. The paper presents the theoretical framework for MeasuRouting and provides examples of how it can enhance monitoring utility.

Uploaded by

Kavinhariharasudhan Sankaralingam
Copyright
© Attribution Non-Commercial (BY-NC)
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOC, PDF, TXT or read online on Scribd
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IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 20, NO.

1, FEBRUARY 2012 45

MeasuRouting: A Framework for Routing Assisted Traffic Monitoring


AbstractMonitoring 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 toward 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 subpopulations over fixed monitors. We refer to this approach as MeasuRouting. The main challenge for MeasuRouting is to work within the constraints of existing intradomain traffic engineering operations that are geared for efficiently utilizing bandwidth resources, or meeting quality-of-service (QoS) constraints, or both. A fundamental feature of intradomain routing, which makesMeasuRouting feasible, is that intradomain 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.

FRAMEWORK ON LARGE PUBLIC SECTOR IMPLEMENTATION OF CLOUD COMPUTING


Abstract: Cloud computing enables IT systems to be scalable and elastic. One significant advantage of it is users no longer need to determine their exact computing resource requirements upfront. Instead, they request computing resources as required, on-demand. This paper is written to introduce a framework specific for large public sector entities on how to migrate to cloud computing. This paper can then be also be a reference for the Organizations to overcome its

limitations and to convince their stakeholders to further implement various types of Cloud Computing service models.

Design and Implementation of a Secure Healthcare Social Cloud System


Abstract: Two cutting edge technologies are cloud computing and social media. Healthcare is a promising application of these technologies. In this paper, we describe our design and prototype implementation of a social healthcare network over the cloud. The system is secured with a trust-aware role-based access control. Our work addresses an unmet need in social healthcare networking--emotional support, and demonstrates social healthcare network application in a real cloud computing environment.

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