Monitoring and Analysis of Data Packets Using Data Stream Management System

Qadeer, Mohammed A.; Akhtar, Nadeem; Khan, Faraz Idris; Haque, Faisal

doi:10.1109/iccee.2008.172

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Cited by 4 publications

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“…Another example is Network Packet Analysis. Network operators and service providers need to monitor data traffic to analyze the provided service level, to identify bottlenecks, and initiate appropriate counter measures, if possible [2] [3]. This is especially important in the Internet, because the amount of data traffic continuously increases and the behavior and requirements of endusers are changing over time, like accepted response time from web servers.…”

Section: Introductionmentioning

confidence: 99%

Statistical Data Analysis of Continuous Streams Using Stream DSMS

Akhtar¹

2011

IJDMS

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Section: Introductionmentioning

confidence: 99%

Statistical Data Analysis of Continuous Streams Using Stream DSMS

Akhtar¹

2011

IJDMS

Self Cite

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Improving Real-Time GPS by incorporating TelegraphCQ in Jamdroid Architecture

Qadeer

Akhtar

Khan

et al. 2009

2009 4th International Symposium on Wireless Pervasive Computing

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Data Stream Management System is a new class of stream handling with SQL-like queries & robustness at relatively high streams of data.TelegraphCQ is an open source DSMS tool developed towards handling live streams of data. Jamdroid, on the other hand, is a new collaborative project, developed on Android platform, that gathers road traffic reports from all its end-users, compiles the data and reports back to the navigation software of the users. It involves a data analysis algorithm running on the user device, and Internet servers that retrieve the data from the user, merge them, and send them back to the community. Such a system is meant to be accessed by a large number of users, and has to be fast-responsive enough to deal with all the requests; hence, provisions must be made for effective live stream handling. We will see how such a system can gain immensely by incorporating Data Stream Management System, using open-source TelegraphCQ, for data stream processing & querying.

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