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.
CITATION STYLE
Dehury, C., Jakovits, P., Srirama, S. N., Tountopoulos, V., & Giotis, G. (2020). Data pipeline architecture for serverless platform. In Communications in Computer and Information Science (Vol. 1269 CCIS, pp. 241–246). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59155-7_18
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