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2016
Apache Kafka is a messaging system based on the publish-subscribe model. A Kafka cluster consists of one or more servers called brokers. Kafka keeps messages categorized by “topics”. Producers produce messages and publish the messages to topics. Consumers subscribe to specific topic/s and consume feeds of messages published to the topic/s. The messages
exaly +2 more sources
Apache Kafka is a messaging system based on the publish-subscribe model. A Kafka cluster consists of one or more servers called brokers. Kafka keeps messages categorized by “topics”. Producers produce messages and publish the messages to topics. Consumers subscribe to specific topic/s and consume feeds of messages published to the topic/s. The messages
exaly +2 more sources
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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Message Latency-Based Load Shedding Mechanism in Apache Kafka
Lecture Notes in Computer Science, 2020Apache Kafka is a distributed message queuing platform that delivers data streams in real time. Through the distributed processing technology, Kafka has the advantage of delivering very large data streams very fast. However, when the data explosion occurs, the message latency largely increases and the system might be interrupted.
Jiwon Bang, Siwoon Son, Mi-Jung Choi
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Research Proposal: Reliability Evaluation of the Apache Kafka Streaming System
2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2019Apache Kafka is a distributed messaging system with high throughput, high scalability and low latency. It has been widely adopted in enterprise and due to its widespread integration into enterprise-level infrastructures, the research on the reliability of Kafka consumers has become an increasingly important issue.
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Automated script-based engine for Apache Kafka messaging system
2023 22nd RoEduNet Conference: Networking in Education and Research (RoEduNet), 2023Lucian-Florentin Barbulescu +1 more
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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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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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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.
openaire +1 more source
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.
openaire +1 more source
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
openaire +1 more source