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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...
The radio frequency identification (RFID) tags are an integral part of lives today, whether realized or not. Thousands of applications are currently using RFID tags and the number is growing. RFID finds its application in fields as diverse as race timing, transportation payments, passports, & animal identification. This paper aims at combining the ubiquitous applicability of RFIDs with high speed...
Applications querying real time data streams in order to identify trends, patterns, or anomalies can often benefit from comparing the live stream data with archived historical stream data. This is especially true for applications involving live & unpredictable data like in traffic analysis & stock markets. However this data mining in DSMSs have turned out to be a costly proposition. In this...
This paper introduces monitoring network packets, which we will show differ substantially from conventional DBMS analysis. In many applications in the real world, data is not stored at a place (as in conventional DBMS) i.e. in this model, data does not take the form of persistent relations, but rather arrives in multiple, continuous, rapid, time-varying data streams. Almost all traffic analysis tasks...
This paper presents handling and analysis of network packets using data stream management system tool TelegraphCQ. The number of tools for analyzing data traffic in the Internet is continuously increasing, because there is an increasing need in many different application domains. The high volume data that flows within a network requires one to rethink the fundamental architecture of a DBMS for this...
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