Consistent Stream Processing

Affetti, Lorenzo

doi:10.1145/3093742.3093900

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2024

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Cited by 3 publications

(1 citation statement)

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“…Throughout this work, we focus on simple DAWs performing batch processing and leave an extension to data analysis over streams (e.g., [16]) or to DAWs including cycles or conditionals for future work.…”

Section: Introductionmentioning

confidence: 99%

Validity Constraints for Data Analysis Workflows

Schintke,

Belhajjame,

De Mecquenem

et al. 2023

Preprint

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Section: Introductionmentioning

confidence: 99%

Validity Constraints for Data Analysis Workflows

Schintke,

Belhajjame,

De Mecquenem

et al. 2023

Preprint

View full text Add to dashboard Cite

FogStore

Gupta

Ramachandran

2018

Proceedings of the 12th ACM International Conference on Distributed and Event-Based Systems

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Databases in Edge and Fog Environments: A Survey

Meruje Ferreira,

Coelho,

Pereira

2024

ACM Comput. Surv.

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While a significant number of databases are deployed in cloud environments, pushing part or all data storage and querying planes closer to their sources (i.e., to the edge) can provide advantages in latency, connectivity, privacy, energy and scalability. This article dissects the advantages provided by databases in edge and fog environments, by surveying application domains and discussing the key drivers for pushing database systems to the edge. At the same time, it also identifies the main challenges faced by developers in this new environment, and analysis the mechanisms employed to deal with them. By providing an overview of the current state of edge and fog databases, this survey provides valuable insights into future research directions.

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Consistent Stream Processing

Cited by 3 publications

References 11 publications

Validity Constraints for Data Analysis Workflows

Validity Constraints for Data Analysis Workflows

FogStore

Databases in Edge and Fog Environments: A Survey

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