arXiv Open Access 2021

Cost models for geo-distributed massively parallel streaming analytics

Anna-Valentini Michailidou Anastasios Gounaris Konstantinos Tsichlas

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This report is part of the DataflowOpt project on optimization of modern dataflows and aims to introduce a data quality-aware cost model that covers the following aspects in combination: (1) heterogeneity in compute nodes, (2) geo-distribution, (3) massive parallelism, (4) complex DAGs and (5) streaming applications. Such a cost model can be then leveraged to devise cost-based optimization solutions that deal with task placement and operator configuration.

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Penulis (3)

Anna-Valentini Michailidou

Anastasios Gounaris

Konstantinos Tsichlas

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Michailidou, A., Gounaris, A., Tsichlas, K. (2021). Cost models for geo-distributed massively parallel streaming analytics. https://arxiv.org/abs/2105.12507

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Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓