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Benchmarking Apache Kafka under network faults
Proceedings of the 22nd International Middleware Conference: Demos and Posters, 2021Network faults are often transient and hence hard to detect and difficult to resolve. Our study conducts an analysis of Kafka's network fault tolerance capabilities, one of the widely used distributed stream processing system (DSPS). Across different Kafka configurations, we observed that Kafka is fault-tolerant towards network faults to some degree ...
Murtaza Raza +4 more
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2021
In the previous chapters, we focused essentially on the use of synchronous methods for cross-application communication, more specifically REST. Although REST (and its ecosystem) is very rich in features and can support many different use cases, it is not as scalable and resilient as some asynchronous communication patterns.
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In the previous chapters, we focused essentially on the use of synchronous methods for cross-application communication, more specifically REST. Although REST (and its ecosystem) is very rich in features and can support many different use cases, it is not as scalable and resilient as some asynchronous communication patterns.
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Performance Prediction for the Apache Kafka Messaging System
2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2019Apache Kafka is a highly scalable distributed messaging system that provides high throughput with low latency. Various kinds of cloud vendors provide Kafka as a service for users who need a messaging system. Given a certain hardware environment, how to set the configurations of Kafka properly will be the first concern of users.
Han Wu 0001 +2 more
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2016
The goal of this chapter is to get you familiar with Apache Kafka and show you how to solve the consumption of millions of messages in a pipeline architecture. Here we show some Scala examples to give you a solid foundation for the different types of implementations and integrations for Kafka producers and consumers.
Raul Estrada, Isaac Ruiz
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The goal of this chapter is to get you familiar with Apache Kafka and show you how to solve the consumption of millions of messages in a pipeline architecture. Here we show some Scala examples to give you a solid foundation for the different types of implementations and integrations for Kafka producers and consumers.
Raul Estrada, Isaac Ruiz
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Building a replicated logging system with Apache Kafka
Proceedings of the VLDB Endowment, 2015Apache Kafka is a scalable publish-subscribe messaging system with its core architecture as a distributed commit log. It was originally built at LinkedIn as its centralized event pipelining platform for online data integration tasks. Over the past years developing and operating Kafka, we extend its log-structured architecture as a replicated logging ...
Guozhang Wang +8 more
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Learning to Reliably Deliver Streaming Data with Apache Kafka
2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2020The rise of streaming data processing is driven by mass deployment of sensors, the increasing popularity of mobile devices, and the rapid growth of online financial trading. Apache Kafka is often used as a real-time messaging system for many stream processors.
Han Wu 0001 +2 more
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On-demand Simulation of Future Mobility Based on Apache Kafka
2021The modeling and simulation community can benefit from building and running (co-)simulation models on-demand. In order to drive innovation further, it should be easy to set up, orchestrate, and execute simulations – even for researchers with no background in computer science.
Moritz Gütlein, Anatoli Djanatliev
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A Study of Distributed SDN Controller Based on Apache Kafka
2020 IEEE International Conference on Big Data and Smart Computing (BigComp), 2020There is a problem that traditional networks do not have the flexibility to respond to today's rapidly changing Internet business. To solve this problem, SDN was introduced to separate the network control department and control the entire network through software.
Ju-Hyeon Moon, Yong-Tae Shine
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Integration of mediacockpit entity events into apache kafka
2021This report describes my four-month internship at Bertsch Innovation in order to obtain the engineering degree in Computer Science engineering. My project is entitled "Integration of Mediacockpit Entity Events into Apache Kafka". We present in this report the data integration solution adopted to capture events from Bertsch innovation product ...
Khoualdia, Farouk, Moussa, Rim
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