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Automatic multithreaded-safe memory managed classes in Cython
In this blog post, we present our progress in integrating a memory-managed class system in Cython which doesn't use the GIL. This new class systems allows truly multithreaded OOP in Cython with the ease of use of Python classes.
Towards reliable SFTP interfaces
Interfacing two applications through SFTP in a reliable way can be very tricky. This blog lists possible approaches towards reliability and fundamental principles that must be enforced.
Nexedi Showcases SlapOS 4G/5G Network Management System based on Free Software, Open Hardware and Edge Computing
Nexedi will showcase during Mobile World Congress 2019 its next generation Network Management System (SlapOS NMS) designed for low latency 4G and 5G. SlapOS NMS is a Free Software converged solution for edge computing and radio networks. It now supports open source 3GPP stacks (ex. SRS), proprietary stacks (ex. Amarisoft) and open hardware (ex. Lime Microsystems, Open Compute Project).
SlapOS EdgePacer: plug-and-play Edge Computing for corporate networks based on Nexedi Free Software and Open Hardware
Nexedi will introduce at Mobile World Congress 2019 an innovative Edge Computing enabler: SlapOS EdgePacer. Based on industrial grade Open Hardware by Olimex, SlapOS EdgePacer extends existing corporate networks with essential edge services: content delivery network (CDN), IoT buffering, low latency routing, resilient networking and IPv6 everywhere.
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To find out more about our open source software solutions and the services Nexedi provides around its solutions, contact us by email or speak with us directly.
Rapid.Space: from EU to China
Rapid.Space is planning an extension in China in Shanxi province. The rationale and approach of this extension are explained in this presentation.
Open Edge Computing for Hard Real Time
WINDELIN - Predictive Maintenance and Optimisation of Wind Turbines using an open-source Big Data Machine Learning Cloud
WINDELIN is a R & D project developed under Eureka programme using machine learning and big data technologies for anomaly detection and predictive maintenance inside wind turbines.