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Kafka data streaming with the Tool Command Language (Tcl) - the “lazy bone” approach

Morlang, Frank (2020) Kafka data streaming with the Tool Command Language (Tcl) - the “lazy bone” approach. 6th International Conference on Green Computing and Engineering Technologies (ICGCET) 6th International Conference on Green Computing an, 16.-18. Sep. 2020, St Petersburg, Russia.

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Abstract

The paper describes Tcl usage in the context of realizing topic-consumer and topic-producer functionality without Kafka C language API "librdkafka" interfacing. An alternative benefiting from and based on Tcl’s process pipelining flexibility is presented. Its implementation in a cascaded multi-system data interrogation solution for holistic optimization purposes is shown and described.

Item URL in elib:https://elib.dlr.de/137435/
Document Type:Conference or Workshop Item (Speech)
Title:Kafka data streaming with the Tool Command Language (Tcl) - the “lazy bone” approach
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Morlang, FrankDLR-FLUNSPECIFIED
Date:18 September 2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:data streaming, process pipe, Apache Kafka
Event Title:6th International Conference on Green Computing and Engineering Technologies (ICGCET) 6th International Conference on Green Computing an
Event Location:St Petersburg, Russia
Event Type:international Conference
Event Dates:16.-18. Sep. 2020
Organizer:GYANCITY RESEARCH LABS & Herzen State Pedagogical University
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Air Traffic Concepts and Operation (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > ATM-Simulation
Deposited By: Ruta, Kerstin
Deposited On:23 Nov 2020 11:44
Last Modified:23 Nov 2020 11:44

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