Bi-objective Traffic Optimization in Geo-distributed Data Flows

Michailidou, Anna-Valentini; Gounaris, Anastasios

doi:10.1016/j.bdr.2019.04.002

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Cited by 7 publications

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“…The above cost model targets a single objective. It is trivial, through simple sum functions to consider the movement of data over the network, as in [26], or the total time resources are occupied for processing a specific time period.…”

Section: Accounting For Additional Objectivesmentioning

confidence: 99%

Cost models for geo-distributed massively parallel streaming analytics

Michailidou,

Gounaris,

Tsichlas

2021

Preprint

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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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Section: Accounting For Additional Objectivesmentioning

confidence: 99%