Deploying an infrastructure to execute queries on distributed data streams sources requires to identify a scalable and robust solution able to provide results which can be qualified. Last decade, different Data Stream Management Systems have been designed by exploiting new paradigm and technologies to improve performances of solutions facing specific features of data streams and their growing number. However, some tradeoffs are often achieved between performance of the processing, resources consumption and quality of results. This survey 5 suggests an overview of existing solutions among distributed and parallel systems classified according to criteria able to allow readers to efficiently identify relevant existing Distributed Stream Manage...
Abstract—Data streaming has become an important paradigm for the real-time processing of continuous ...
More and more use cases require fast, accurate, and reliable processing of large volumes of data. To...
Modern distributed stream processing systems can be potentially applied to real time network flow pr...
Deploying an infrastructure to execute queries on distributed data streams sources requires to ident...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
As more aspects of our daily lives are being computerized, ever larger amounts of data are being pro...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
Resource management in Distributed Stream Processing Systems (DSPS) defines the way queries are depl...
Stream processing applications have recently gained signifi-cant attention in the networking and dat...
Distributed Data Stream Management Systems (DSMS) are increasingly used for the processing of high-r...
In this tutorial paper we present the results of recent research findings in the area of data stream...
Distributed stream filtering is a mechanism for implementing a new class of real-time applications w...
Distributed stream processing represents a novel computing paradigm where data, sensed externally an...
Data streaming applications are becoming more and more common due to the rapid development in emergi...
Applications characterized by the continuous processing of large data streams have recently attracte...
Abstract—Data streaming has become an important paradigm for the real-time processing of continuous ...
More and more use cases require fast, accurate, and reliable processing of large volumes of data. To...
Modern distributed stream processing systems can be potentially applied to real time network flow pr...
Deploying an infrastructure to execute queries on distributed data streams sources requires to ident...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
As more aspects of our daily lives are being computerized, ever larger amounts of data are being pro...
Abstract. Data streaming applications are becoming more and more common due to the rapid development...
Resource management in Distributed Stream Processing Systems (DSPS) defines the way queries are depl...
Stream processing applications have recently gained signifi-cant attention in the networking and dat...
Distributed Data Stream Management Systems (DSMS) are increasingly used for the processing of high-r...
In this tutorial paper we present the results of recent research findings in the area of data stream...
Distributed stream filtering is a mechanism for implementing a new class of real-time applications w...
Distributed stream processing represents a novel computing paradigm where data, sensed externally an...
Data streaming applications are becoming more and more common due to the rapid development in emergi...
Applications characterized by the continuous processing of large data streams have recently attracte...
Abstract—Data streaming has become an important paradigm for the real-time processing of continuous ...
More and more use cases require fast, accurate, and reliable processing of large volumes of data. To...
Modern distributed stream processing systems can be potentially applied to real time network flow pr...