Top Research Papers on Kafka

Abstract This study provides a detailed investigation of Jorge Luis Borges’s development as an author in light of (1) Franz Kafka’s influence on Borges’s writing and (2) Borges’s relationship with his father, Jorge Guillermo Borges (Borges père, a failed author). Reading Borges’s stories with respect to the influence of these literary and familial precursors explains some of his aims as a writer. Borges believed that much of Kafka’s writing derived from his personal experiences, particularly his relationship with his father. Following Borges’s lead, this book looks at how reading Kafka helped ...

Nonhuman figures are ubiquitous in the work of Franz Kafka, from his early stories down to his very last one. Despite their prominence throughout his oeuvre, Kafka's animal representations have been considered first and foremost as mere allegories of intrahuman matters. In recent years, the allegorization of Kafka's animals has been poetically dismissed by Kafka's commentators and politically rejected by posthumanist scholars. Such critique, however, has yet to inspire either an overarching or an interdiscursive account. This book aims to fill this lacuna. Positing animal stories as a distinct...

In the first book to study Franz Kafka from the perspective of modern rhetorical theory, Clayton Koelb explores such questions as how Kafka understood the reading process, how he thematized the problematic of reading, and how his highly distinctive style relates to what Koelb describes as the "passion of reading."

Unluckily today's general architectures for the real time data and its processing at extent suffer from too much complexity: let we say, lot of technologies that need to be darned and operated together, and each individual technology is often complex by itself.Let we have to desire to publish and subscribe, streams of records then Apache Kafka is similar to a message queue or we can say it is an enterprise messaging system.Let we have to store streams of records in a fault-tolerant way: Kafka process streams of records as they occur.Kafka is better for applications of two broad classes one is ...

This paper establishes a common comparison framework based on the core functionalities of pub/sub systems and enumerates a set of use cases that are best suited for RabbitMQ or Kafka, to guide the reader through a determination table to choose the best architecture given his/her particular set of requirements.

This paper shows that four of the most common gradual type systems provide distinct guarantees, and gives a formal framework for comparing gradualtype systems for object-oriented languages.

With access to Kafka's medical records, Sander Gilman engages in an analysis of hyperchondria, anorexia, homosexuality, turn-of-the-century ritual slaughter, and myths about the relationship of body type to character.

In a letter Franz Kafka wrote to Felice Bauer in January 1913, he describes himself as a “great laugher.” Although Kafka is conventionally associated with anxiety, gloom, even terror, his laughter is joyful.

ABSTRACTKhare and Varman present a compellingly pessimistic analysis of the plight of the poor in India. The dilemmas of the poor are often exacerbated by large corporations seeking to find ways to market products to impoverished emerging market consumers. In India, consumers are frequently hurt by these initiatives, small retailers may suffer, while corruption and trickery by petty bureaucrats and ruthless landlords help the rich get richer at the expense of the poor. The article by Khare and Varman is a scathing indictment based on detailed ethnographic evidence but it reveals only a fractio...

The reasoning behind the design of Kafka and Samza, which allow complex applications to be built by composing a small number of simple primitives – replicated logs and stream operators, is explained.

A queueing based packet flow model is proposed to predict performance metrics of Kafka cloud services and achieves high accuracy in predicting throughput and latency.

KELPr is an in-memory distributed CER engine designed extending the Dual Streaming Model and implemented on top of Kafka Streams, a first step towards a unifying solution for Streaming Analytics and Complex Event Recognition.

This survey paper systematically surveys the research literature in this field by carefully classifying it into key macro areas, namely algorithms, networks, data, cyber-physical systems, and security, and aims to identify and analyze the optimization aspects relevant to each area.

This abstract will talk about the design and engineering experience to replicate Kafka logs for various distributed data-driven systems at LinkedIn, including source-of-truth data storage and stream processing.

The distributed message system of Apache Kafka was designed to support large-scale distributed messages between SDN controllers and the message processing time of Kafka and the existing Message Queue was measured.

Apache Kafka is publish-subscribe messaging implemented as a distributed commit log, suitable for both offline and online message consumption. It is a messaging system initially developed at LinkedIn for collecting and delivering high volumes of event and log data with low latency. Message publishing is a mechanism for connecting various applications with the help of messages that are routed between them, for example, by a message broker such as Kafka. It acts as a kind of write-ahead log that records messages to a persistent store and allows subscribers to read and apply these changes to thei...

The process algebra CSP (Communicating Sequential Processes) and the model checking tool PAT (Process Analysis Toolkit) are applied and the results show that the Kerberos protocol has improved the security of Kafka messaging mechanism in some aspects, but there are still some security loopholes.

An improvement of large-scale multi-party data exchange and stream processing solution that uses Apache Kafka streams as well as HDFS file granulation and is exemplified in a real project of data ingestion into the Hadoop ecosystem.

Kafka-ML is proposed, an open-source framework that enables the management of TensorFlow ML/AI pipelines through data streams (Apache Kafka) and provides an accessible and user-friendly Web User Interface where users can easily define ML models, to then train, evaluate and deploy them for inference.

This research test the impacts of all kinds of configuration parameters on the reliability of Kafka, including retry strategies and replications of partitions for fault tolerance, as well as the tradeoffs between performance and reliability.