Data pipeline architecture for serverless platform

dc.contributor.author Dehury, Chinmaya
dc.contributor.author Jakovits, Pelle
dc.contributor.author Srirama, Satish Narayana
dc.contributor.author Tountopoulos, Vasilis
dc.contributor.author Giotis, Giorgos
dc.date.accessioned 2022-03-27T06:04:01Z
dc.date.available 2022-03-27T06:04:01Z
dc.date.issued 2020-01-01
dc.description.abstract To provide cost effective cloud resources with high QoS, serverless platform is introduced that allows to pay for the exact amount of resource usage. On the other hand, a number of data management tools are developed to handle the data from a large number of IoT sensing devices. However, the modern data-intensive cloud applications require the power that comes from integrating data management tools with serverless platforms. This paper proposes a novel data pipeline architecture for serverless platform for providing an environment to develop applications that can be broken into independently deployable, schedulable, scalable, and re-usable modules and efficiently manage the flow of data between different environments.
dc.identifier.citation Communications in Computer and Information Science. v.1269 CCIS
dc.identifier.issn 18650929
dc.identifier.uri 10.1007/978-3-030-59155-7_18
dc.identifier.uri http://link.springer.com/10.1007/978-3-030-59155-7_18
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/9246
dc.subject Data pipelines
dc.subject DevOps
dc.subject Serverless computing
dc.subject TOSCA
dc.title Data pipeline architecture for serverless platform
dc.type Book Series. Conference Paper
dspace.entity.type
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