Streaming vs. functions: a cost perspective on cloud event processing
Streaming vs. functions: a cost perspective on cloud event processing
In cloud event processing, data generated at the edge is processed in real-time by cloud resources. Both distributed stream processing (DSP) and Function-as-a-Service (FaaS) have been proposed to implement such event processing applications. FaaS emphasizes fast development and easy operation, while DSP emphasizes efficient handling of large data volumes. Despite their architectural differences, both can be used to model and implement loosely-coupled job graphs. In this paper, we consider the selection of FaaS and DSP from a cost perspective. We implement stateless and stateful workflows from the Theodolite benchmarking suite using cloud FaaS and DSP. In an extensive evaluation, we show how application type, cloud service provider, and runtime environment can influence the cost of application deployments and derive decision guidelines for cloud engineers.
cloud data processing, FaaS, scalability, streaming
67-78
Pfandzelter, Tobias
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Henning, Soren
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Schirmer, Trever
b644f928-93b5-4c4f-bfd5-9e7d0ebcc0b0
Hasselbring, Wilhelm
ee89c5c9-a900-40b1-82c1-552268cd01bd
Bermbach, David
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Pfandzelter, Tobias
a59cad5f-b94f-4668-bf03-91b2fcb94f7a
Henning, Soren
e09ef4ea-8a2f-4d11-903b-db51d6371fcb
Schirmer, Trever
b644f928-93b5-4c4f-bfd5-9e7d0ebcc0b0
Hasselbring, Wilhelm
ee89c5c9-a900-40b1-82c1-552268cd01bd
Bermbach, David
7b2b8091-963d-423a-bb1f-9815f291fdf9
Pfandzelter, Tobias, Henning, Soren and Schirmer, Trever
,
et al.
(2022)
Streaming vs. functions: a cost perspective on cloud event processing.
In 2022 IEEE International Conference on Cloud Engineering (IC2E).
IEEE.
.
(doi:10.1109/IC2E55432.2022.00015).
Record type:
Conference or Workshop Item
(Paper)
Abstract
In cloud event processing, data generated at the edge is processed in real-time by cloud resources. Both distributed stream processing (DSP) and Function-as-a-Service (FaaS) have been proposed to implement such event processing applications. FaaS emphasizes fast development and easy operation, while DSP emphasizes efficient handling of large data volumes. Despite their architectural differences, both can be used to model and implement loosely-coupled job graphs. In this paper, we consider the selection of FaaS and DSP from a cost perspective. We implement stateless and stateful workflows from the Theodolite benchmarking suite using cloud FaaS and DSP. In an extensive evaluation, we show how application type, cloud service provider, and runtime environment can influence the cost of application deployments and derive decision guidelines for cloud engineers.
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e-pub ahead of print date: 16 November 2022
Venue - Dates:
10th IEEE International Conference on Cloud Engineering, IC2E 2022, , Pacific Grove, United States, 2022-09-26 - 2022-09-30
Keywords:
cloud data processing, FaaS, scalability, streaming
Identifiers
Local EPrints ID: 488781
URI: http://eprints.soton.ac.uk/id/eprint/488781
PURE UUID: 274c748e-2e4d-4473-8e57-5ef4ea7a6bcf
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Date deposited: 05 Apr 2024 16:38
Last modified: 10 Apr 2024 02:15
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Contributors
Author:
Tobias Pfandzelter
Author:
Soren Henning
Author:
Trever Schirmer
Author:
Wilhelm Hasselbring
Author:
David Bermbach
Corporate Author: et al.
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