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- W3213046385 abstract "Runtime IoT data fluctuation brings challenges for optimizing the resource allocation for a data stream processing (DSP) flow in a cloud-edge environment. It can result in extra high latency for a flow. Optimized strategy of dynamic resource allocation is still hard to design to timely dealing with the IoT data fluctuation. In this paper, the above challenge is abstracted and redefined as the service deployment problem. An improved GA optimization algorithm, integrating with the IoT data fluctuation prediction ability, is proposed to handle IoT data fluctuations during the running of a DSP flow. Effectiveness of the proposed approach is evaluated based on the real datasets from a real application." @default.
- W3213046385 created "2021-11-22" @default.
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- W3213046385 date "2021-01-01" @default.
- W3213046385 modified "2023-10-06" @default.
- W3213046385 title "Service Deployment with Predictive Ability for Data Stream Processing in a Cloud-Edge Environment" @default.
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- W3213046385 doi "https://doi.org/10.1007/978-3-030-91431-8_55" @default.
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