Georgi Gaydadjiev (Maxeler)
Building cumulonimbus cloud systems
Steadily growing amounts of sensor data is being generated and is typically processed by cloud-based servers leading to highly unbalanced systems with most of the computations being performed at the back end. Such large-scale systems are characterized by rocketing energy budgets of the back end, bandwidth-hungry interconnect infrastructures and many end users exposed to disturbing application response delays. I will discuss how data-movement centric, massive-scale smart systems can be integrally developed, built and orchestrated. I show that adding customizable compute capabilities at the edge will enable truly application-aware systems able to perform all of the required data processing and movements within affordable energy budgets at all levels.