Výsledky vyhledávání - "Ehsan Poormohammady"

Dynamic algorithm selection for the logic of tasks in IoT stream processing systems

Autor: Ehsan Poormohammady, Jens Helge Reelfs, Klaus Wehrle, Apostolos Papageorgiou, Mirko Stoffers

Publikováno v: CNSM

Various Internet of Things (IoT) and Industry 4.0 use cases, such as city-wide monitoring or machine control, require low-latency distributed processing of continuous data streams. This fact has boosted research on making Stream Processing Frameworks

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c883815fa071e7525b3af3a6c86cf286
https://doi.org/10.23919/cnsm.2017.8256009

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Edge-Computing-Aware Deployment of Stream Processing Tasks Based on Topology-External Information: Model, Algorithms, and a Storm-Based Prototype

Autor: Bin Cheng, Apostolos Papageorgiou, Ehsan Poormohammady

Publikováno v: BigData Congress

Stream Processing Frameworks (SPF, e.g., Apache Storm) are solutions that facilitate and manage the execution of processing topologies that consist of multiple parallelizable steps (or tasks) and involve continuous data exchange among these tasks. St

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::76e3d88534ff054a519be2e307774edc
https://doi.org/10.1109/bigdatacongress.2016.40

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