Selecting the right resources for big data analytics jobs is hard becaus...
Federated Learning (FL) is a decentralized machine learning approach whe...
To mitigate the growing carbon footprint of computing systems, there has...
Federated Learning (FL) is an emerging machine learning technique that
e...
Embedded real-time devices for monitoring, controlling, and collaboratio...
Due to the complexity of modern IT services, failures can be manifold, o...
The growing electricity demand of cloud and edge computing increases
ope...
Low-level embedded systems are used to control cyber-phyiscal systems in...
The continuous testing of small changes to systems has proven to be usef...
Log data anomaly detection is a core component in the area of artificial...
With increasing scale and complexity of cloud operations, automated dete...
Depending on energy sources and demand, the carbon intensity of the publ...
Distributed Stream Processing (DSP) systems enable processing large stre...
Despite constant improvements in efficiency, today's data centers and
ne...
Internet of Things (IoT) applications promise to make many aspects of ou...