English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

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

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