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5,790
Models and issues in data stream systems
- IN PODS
, 2002
"... In this overview paper we motivate the need for and research issues arising from a new model of data processing. In this model, data does not take the form of persistent relations, but rather arrives in multiple, continuous, rapid, time-varying data streams. In addition to reviewing past work releva ..."
Abstract
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Cited by 786 (19 self)
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In this overview paper we motivate the need for and research issues arising from a new model of data processing. In this model, data does not take the form of persistent relations, but rather arrives in multiple, continuous, rapid, time-varying data streams. In addition to reviewing past work
TelegraphCQ: Continuous Dataflow Processing for an Uncertan World
, 2003
"... Increasingly pervasive networks are leading towards a world where data is constantly in motion. In such a world, conventional techniques for query processing, which were developed under the assumption of a far more static and predictable computational environment, will not be sufficient. Instead, qu ..."
Abstract
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Cited by 514 (23 self)
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, query processors based on adaptive dataflow will be necessary. The Telegraph project has developed a suite of novel technologies for continuously adaptive query processing. The next generation Telegraph system, called TelegraphCQ, is focused on meeting the challenges that arise in handling large streams
CoolStreaming/DONet: A Data-driven Overlay Network for Peer-to-Peer Live Media Streaming
- in IEEE Infocom
, 2005
"... This paper presents DONet, a Data-driven Overlay Network for live media streaming. The core operations in DONet are very simple: every node periodically exchanges data availability information with a set of partners, and retrieves unavailable data from one or more partners, or supplies available dat ..."
Abstract
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Cited by 475 (42 self)
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management algorithm, together with an intelligent scheduling algorithm that achieves real-time and continuous distribution of streaming contents.
Bursty and Hierarchical Structure in Streams
, 2002
"... A fundamental problem in text data mining is to extract meaningful structure from document streams that arrive continuously over time. E-mail and news articles are two natural examples of such streams, each characterized by topics that appear, grow in intensity for a period of time, and then fade aw ..."
Abstract
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Cited by 394 (2 self)
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A fundamental problem in text data mining is to extract meaningful structure from document streams that arrive continuously over time. E-mail and news articles are two natural examples of such streams, each characterized by topics that appear, grow in intensity for a period of time, and then fade
Continuous Queries over Data Streams
, 2001
"... In many recent applications, data may take the form of continuous data streams, rather than finite stored data sets. Several aspects of data management need to be re-considered in the presence of data streams, offering a new research direction for the database community. In this pa-per we focus prim ..."
Abstract
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Cited by 308 (10 self)
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In many recent applications, data may take the form of continuous data streams, rather than finite stored data sets. Several aspects of data management need to be re-considered in the presence of data streams, offering a new research direction for the database community. In this pa-per we focus
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
"... A key challenge for neural modeling is to explain how a continuous stream of multi-modal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of integrate-and-fire neurons in real-time. We propose a new computational model for real-time computing on time-var ..."
Abstract
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Cited by 469 (38 self)
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A key challenge for neural modeling is to explain how a continuous stream of multi-modal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of integrate-and-fire neurons in real-time. We propose a new computational model for real-time computing on time
Aurora: a new model and architecture for data stream management
, 2003
"... This paper describes the basic processing model and architecture of Aurora, a new system to manage data streams for monitoring applications. Monitoring applications differ substantially from conventional business data processing. The fact that a software system must process and react to continual in ..."
Abstract
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Cited by 401 (31 self)
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This paper describes the basic processing model and architecture of Aurora, a new system to manage data streams for monitoring applications. Monitoring applications differ substantially from conventional business data processing. The fact that a software system must process and react to continual
Reconstruction from Image Streams: Continuous Multilinear Constraints
"... This paper deals with the problem of analysing continuous streams of images of rigid point objects taken by uncalibrated cameras. This analysis will also give some new insight into the problem of estimating structure and motion from image sequences. We study the velocity case of the so called multil ..."
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This paper deals with the problem of analysing continuous streams of images of rigid point objects taken by uncalibrated cameras. This analysis will also give some new insight into the problem of estimating structure and motion from image sequences. We study the velocity case of the so called
Continuously Adaptive Continuous Queries over Streams
- In SIGMOD
, 2002
"... We present a continuously adaptive, continuous query (CACQ) implementation based on the eddy query processing framework. We show that our design provides significant performance benefits over existing approaches to evaluating continuous queries, not only because of its adaptivity, but also because o ..."
Abstract
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Cited by 270 (8 self)
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We present a continuously adaptive, continuous query (CACQ) implementation based on the eddy query processing framework. We show that our design provides significant performance benefits over existing approaches to evaluating continuous queries, not only because of its adaptivity, but also because
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