12 citations · 14 across the 5 of their papers we have counts for
4 papers · 1 filter
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks
Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad +2
Predicting the performance of production code prior to actually executing or benchmarking it is known to be highly challenging. In this paper, we propose a predictive model, dubbed…
JCloudScale: Closing the Gap Between IaaS and PaaS
Rostyslav Zabolotnyi, Philipp Leitner, Waldemar Hummer +1
The Infrastructure-as-a-Service (IaaS) model of cloud computing is a promising approach towards building elastically scaling systems. Unfortunately, building such applications toda…
The Making of Cloud Applications An Empirical Study on Software Development for the Cloud
Jürgen Cito, Philipp Leitner, Thomas Fritz +1
Cloud computing is gaining more and more traction as a deployment and provisioning model for software. While a large body of research already covers how to optimally operate a clou…
Cloud WorkBench - Infrastructure-as-Code Based Cloud Benchmarking
Joel Scheuner, Philipp Leitner, Jurgen Cito +1
To optimally deploy their applications, users of Infrastructure-as-a-Service clouds are required to evaluate the costs and performance of different combinations of cloud configurat…