Chocolate Cloud’s team presenting at the 5G Summit in Dresden

The 5G Lab Germany at TU Dresden organized the IEEE 5G Summit for the second time in Dresden. This was held on September 19, 2017 at International Congress Center Dresden, Germany. It addressed a holistic approach on 5G system design, ranging from silicon hardware, wireless, networks, edge clouds towards Tactile Internet (an internet network that combines ultra low latency with extremely high availability, reliability and security)  applications.

The new technical requirements must be carefully extracted from a deep understanding new applications, from Tactile Internet to distributed cloud storage. New key technologies in network architecture, air interface, and cloud systems will be key to achieve the new requirements of these applications. Random Linear Network Coding is one of the key technologies for 5G networks and distributed cloud storage… and a Chocolate Cloud is an expert in it!

To demonstrate the power of RLNC for repairing damaged equipment or data corruption in distributed cloud storage, our team created a demo where visitors of the event were challenged to try and be faster than the system repairs lost data, by shooting storage nodes and reaching the so called ‘Hall of Fame’ of our demo. Only a few succeeded during the IEEE 5G Summit, but all of them got the opportunity to explore the speed and efficiency of the cutting-edge technology like RLNC compared to traditional solutions using Reed-Solomon codes.

RLNC can repair losses and data corruption from hardware failures much more efficiently (using less network resources) and by distributing the processing costs across various devices (less complexity in various devices, less use of memory in any single device). RLNC not only optimizes the storage but also opens opportunities to aggregate multiple sources of data to speed up download of content – a very important feature as 5G networks are increasingly combining their storage and network applications and aiming for lower latency (faster response to users).