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Proceedings of the 1984 ACM Symposium on LISP and functional programming - LFP '84, 1984
Stream processing is a basic method of code optimization related to loop fusion that can improve the space and speed of iterative applicative expressions by a process of loop combination. It has been studied before in applications to program improvement and batch oriented database restructuring.
Allen Goldberg, Robert Paige
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Stream processing is a basic method of code optimization related to loop fusion that can improve the space and speed of iterative applicative expressions by a process of loop combination. It has been studied before in applications to program improvement and batch oriented database restructuring.
Allen Goldberg, Robert Paige
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Compiling for stream processing
Proceedings of the 15th international conference on Parallel architectures and compilation techniques, 2006This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations, and allocates on-chip storage. Our compiler uses information about the program structure and estimates of kernel and memory operation execution times to overlap kernel execution with memory transfers, maximizing performance,
Abhishek Das +2 more
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Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012
The aim of this tutorial is to present an overview of text stream processing starting with a description and properties of text streams, and continuing with a series of text processing techniques and their applicability to text streams. Among the text processing techniques we are going to describe entity extraction and resolution, event and fact ...
Dunja Mladenic +3 more
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The aim of this tutorial is to present an overview of text stream processing starting with a description and properties of text streams, and continuing with a series of text processing techniques and their applicability to text streams. Among the text processing techniques we are going to describe entity extraction and resolution, event and fact ...
Dunja Mladenic +3 more
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IBM Journal of Research and Development, 1975
One principle of structured programming is that a program should be separated into meaningful independent subprograms, which are then combined so that the relation of the parts to the whole can be clearly established. This papedr escribes several alternative ways to compose programs.
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One principle of structured programming is that a program should be separated into meaningful independent subprograms, which are then combined so that the relation of the parts to the whole can be clearly established. This papedr escribes several alternative ways to compose programs.
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Acta Informatica, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Stream Processing with a Spreadsheet
2014Continuous data streams are ubiquitous and represent such a high volume of data that they cannot be stored to disk, yet it is often crucial for them to be analyzed in real-time. Stream processing is a programming paradigm that processes these immediately, and enables continuous analytics.
Mandana Vaziri +4 more
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21st International Conference on Data Engineering (ICDE'05), 2003
This tutorial provides a comprehensive and cohesive overview of the key research results in the area of data stream query processing, both for SQL-like and XML query languages.
Nick Koudas, Divesh Srivastava
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This tutorial provides a comprehensive and cohesive overview of the key research results in the area of data stream query processing, both for SQL-like and XML query languages.
Nick Koudas, Divesh Srivastava
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Data Streaming and its Application to Stream Processing
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017In this tutorial paper we present the results of recent research findings in the area of data streaming applied to stream processing systems. In particular, we introduce the data streaming model, detailing the main algorithmic results in this research field.
QUERZONI, Leonardo, Rivetti, Nicolo
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Reliable stream data processing for elastic distributed stream processing systems
Cluster Computing, 2019Distributed stream processing system (DSPS) has proven to be an effective way to process and analyze large-scale data streams in real-time fashions. The reliability problem of DSPS is becoming a popular topic in recent years. Novel elastic DSPSs provide the ability to seamlessly adapt to stream workload changes, which introduce new reliability ...
Xiaohui Wei 0002 +3 more
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Evaluation of Stream Processing Frameworks
IEEE Transactions on Parallel and Distributed Systems, 2020The increasing need for real-time insights in data sparked the development of multiple stream processing frameworks. Several benchmarking studies were conducted in an effort to form guidelines for identifying the most appropriate framework for a use case. In this article, we extend this research and present the results gathered.
Giselle van Dongen, Dirk Van den Poel
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