标题:S2CE:用于挖掘亿亿级分布式流的混合云和边缘协调器

摘要】由分布式和异构节点(例如IoT和其他设备)生成的数据的数量,速度,多样性和准确性的爆炸性增长,不断挑战着大数据处理平台和挖掘技术的发展水平。因此,它表明迫切需要解决这一预期的百亿亿级数据生成与从这些数据中提取见识之间日益扩大的差距。为了满足这一需求,本文提出了流到云和边缘(S2CE),这是同类产品中的第一个,经过优化的,多云和边缘编排器,可轻松配置,可扩展和可扩展。 S2CE将支持在混合云和边缘设置上运行的大量和异构数据流的机器和深度学习,同时为实用和可扩展的处理提供必要的功能:数据融合和预处理,采样和合成流生成,云和边缘智能资源管理,和分布式处理。

Title: S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams

[abstract]  The explosive increase in volume, velocity, variety, and veracity of data generated by distributed and heterogeneous nodes such as IoT and other devices, continuously challenge the state of art in big data processing platforms and mining techniques. Consequently, it reveals an urgent need to address the ever-growing gap between this expected exascale data generation and the extraction of insights from these data. To address this need, this paper proposes Stream to Cloud & Edge (S2CE), a first of its kind, optimized, multi-cloud and edge orchestrator, easily configurable, scalable, and extensible. S2CE will enable machine and deep learning over voluminous and heterogeneous data streams running on hybrid cloud and edge settings, while offering the necessary functionalities for practical and scalable processing: data fusion and preprocessing, sampling and synthetic stream generation, cloud and edge smart resource management, and distributed processing.

【作者】Nicolas Kourtellis, Herodotos Herodotou, Maciej Grzenda, Piotr Wawrzyniak, Albert Bifet

点击查看原文

头像

By szf