stream processing
Survey of Distributed Stream Processing for Large Stream Sources
... distributed stream processing systems and evaluated several leading distributed stream-‐processing engines based on those ...early stream processing engines were monolithic ...
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Data Stream Processing on Enterprise Integration Platforms
... Due to the fact that DSMSs tend to have their own dedicated data models and operators, it is difficult to enable existing heterogeneous systems to work together. A class of technologies that can be helpful in this area ...
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Comparative Analysis of Big Data Stream Processing Systems
... after processing a specific number of records or a specific amount of ...Flink stream processing engine fires a watermark either once or continuously based on a given time ...
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Comparative Evaluation for the Performance of Big Stream Processing Systems
... Kafka Stream was used as a Stream processing engine as ...Kafka Stream API provides us StreamsBuilder class to create Stream processing ...While processing our ...
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Analyzing Techniques for Tweet Stream Processing for Different Applications
... Analyzing Techniques for Tweet Stream Processing for Different Applications content pre-handling in motion picture audits assessment examination.. The exploratory outcomes demonstrate th[r] ...
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A Self adaptive Classifier for Efficient Text stream Processing
... Text-stream processing, however, faces a new challenge; namely, the quality (content) and quantity (volume of flow) changes dramatically, reflecting a change in the real ...for processing a text ...
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THEMIS: Fairness in Federated Stream Processing under Overload
... Many stream processing systems support load shedding mecha- nisms to handle overload conditions. Load shedding mechanisms that operate at the granularity of individual nodes [33, 10, 35], how- ever, cannot ...
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How to Do Continuous Stream Processing in a Cloud
... single stream processing node should automatically move computation to the cloud when its own resources are not sufficient ...local stream processor and evaluate its load on the same ...
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Adaptive Provisioning of Stream Processing Systems in the Cloud
... affect stream processing con- ditions are latency, jitter and ...the stream source) sends stream data to another node (i.e. the stream processing engine) for ...
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Big provenance stream processing for data-intensive computations
... Provenance Stream Processing and Storage component at the heart of this architecture accepts the stream of provenance notifications (Ingest API) and supports queries (Query ...live stream ...
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Patterns for distributed real-time stream processing
... distributed stream processing model described in our article has roots in distributed real-time Java [55], [56], which have been adapted to the internals of Apache Storm to produce a real-time version of ...
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Real-Time Stream Processing in Embedded Systems
... real-time stream pro- cessing task is equal to its period, which is equal to the worst-case response time needed to process a batched data source (or a micro batch generated from live streaming data sources), such ...
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The 8 Requirements of Real-Time Stream Processing
... most stream processing ...its processing state with a primary and takes over when primary fails, is the best reasonable alternative for these types of ...
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Defining the execution semantics of stream processing engines
... Finally, some models have been proposed to describe at a higher level the organization of data processing architectures that include stream processing components. In this con- text, the seminal work ...
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Dynamic resource allocation for distributed stream processing engines
... efficient stream processing engines to confront these prob- ...spontaneously, stream processing engines can be an ideal candi- date for processing and analysing purpose considering the ...
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Scalable and Fault-tolerant Stateful Stream Processing.
... Therefore stream processing systems (SPSs) have evolved from cluster-based systems, de- ployed on a few dozen machines [1], to extremely scalable architectures for big data processing, spanning ...
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Adaptive Block And Batch Sizing Forbatched Stream Processing System
... batched stream processing framework, which is a library extension on top of the large-scale data processing engine Apache Spark ...data stream into batches in discrete time ...
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Sensors Data-Stream Processing Middleware based on Multi-Agent Model
... Using a lot of software agents that process each sensor data-stream we solve the complexity issue. The WSN uses a lot of sensors. We can have for each sensor category one or more agent. There are situations where ...
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Enriching Batched Stream processing using Bayesian Networks for Web services
... data stream properties: this lays the foundation for optimizing recurring queries based on the profiling of an earlier ...batched stream processing model, as well as hinting at the potential benefits ...
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Stela: on-demand elasticity in distributed data stream processing systems
... System S, Stormy and StreamCloud were not the only stream processing systems that have adapted parallelization approach. Newly developed systems such as [44] and DRS [45] used parallelization for elasticity ...
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