> I'm an ASF Member, I could also help here for writing the proposal but I'm > not a PMC member for the Incubator project, I'm a committer for my past > incubation experience related to Apache ManifoldCF.
FYI, as an ASF Member, you can request to become a IPMC member anytime: > Individuals may be nominated to join the IPMC after a vote which passes. Individuals may choose to bring themselves or others to the attention of the IPMC. Additionally, any Member of the Apache Software Foundation may join the IPMC by request. ... from https://incubator.apache.org/guides/roles_and_responsibilities.html . Best, tison. Piergiorgio Lucidi <piergior...@apache.org> 于2023年1月12日周四 16:06写道： > Hi folks, > > ACSoftware contacted me because they would like to donate their platform > named HyperIoT to the Foundation. I'm searching for a champion to build the > incubation proposal. > > I'm an ASF Member, I could also help here for writing the proposal but I'm > not a PMC member for the Incubator project, I'm a committer for my past > incubation experience related to Apache ManifoldCF. > > They currently published only the backend services on their GitHub account > but they are going to also share all the UI modules: > https://github.com/ACSoftwareTeam/HyperIoT-Platform > > You can find more information and some screenshots here: > https://hyperiot.cloud/ > > Below is an overview of this platform. > > HyperIoT is an OpenSource Cloud Native platform entirely based on Apache > Technologies for managing big data from any IoT network. > The platform captures the information sent from any source by managing data > compression, running statistics or machine/deep learning algorithms, > presenting data to the end user in realtime and offline mode (saved data). > > It consists of the following macro-components (entirely built on top of > Apache Technologies): > > - Realtime and Enrichments (Kafka and Storm): Realtime configuration and > visualization of data coming from sources with the possibility of defining > enrichment rules on incoming data > > - Events and Alarm Management (Storm): Data are analyzed in real time with > the possibility of reporting any alarms by sending timely notifications > either to the device or using other channels such as email > > - Persistence (HBase and Hadoop) : Data is saved in a secure mode > > - Statistics and Machine Learning (Apache Spark): It is possible to run > periodically, on the saved data, machine learning algorithms or generic > statistics presenting the results of these computations in the user's > dashboard. > > HyperIoT cloud infrastructure constitutes a generic server-side > architecture suitable for cross-cutting applications in various > manufacturing sectors. The infrastructure allows a user, without the > intervention of external developers, to be able to: > > - Configure communication between the IoT network and the cloud (without > writing code but following graphically guided processes) > - Have a set of predefined statistics for the data being processed > - Upload your own analytics algorithms (for more technical users) > - Access an intuitive web interface for configurations and access to > real-time and historical data via different graphical widgets > - Share the information collected > > The easy use of the platform through graphically guided processes allows it > to be used even by personnel who do not have specific knowledge about IoT > topics, data streaming, big data, etc... > > This will help spread the benefits of IoT and Industry 4.0 technologies > even to personnel who are not exactly experts. > > Thank you for your support. > > Cheers, > PJ > > -- > Piergiorgio >
