106 citations · 176 across the 9 of their papers we have counts for
11 papers
An Efficient Online Prediction of Host Workloads Using Pruned GRU Neural Nets
Amin Setayesh, Hamid Hadian, Radu Prodan
Host load prediction is essential for dynamic resource scaling and job scheduling in a cloud computing environment. In this context, workload prediction is challenging because of s…
Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform
Aso Validi, Vladislav Kashansky, Jihed Khiari +5
Hybrid on/off-blockchain vehicle data management approaches have received a lot of attention in recent years. However, there are various technical challenges remained to deal with.…
Multilayer Resource-aware Partitioning for Fog Application Placement
Zahra Najafabadi Samani, Nishant Saurabh, Radu Prodan
Fog computing emerged as a crucial platform for the deployment of IoT applications. The complexity of such applications requires methods that handle the resource diversity and netw…
A Two-Sided Matching Model for Data Stream Processing in the Cloud-Fog Continuum
Narges Mehran, Dragi Kimovski, Radu Prodan
Latency-sensitive and bandwidth-intensive stream processing applications are dominant traffic generators over the Internet network. A stream consists of a continuous sequence of da…
Cloud, Fog or Edge: Where to Compute?
Dragi Kimovski, Roland Mathá, Josef Hammer +3
The computing continuum extends the high-performance cloud data centers with energy-efficient and low-latency devices close to the data sources located at the edge of the network.…
MAPO: A Multi-Objective Model for IoT Application Placement in a Fog Environment
Narges Mehran, Dragi Kimovski, Radu Prodan
The emergence of the Fog computing paradigm that leverages in-network virtualized resources raises important challenges in terms of resource and IoT application management in a het…