4 citations · 5 across the 6 of their papers we have counts for
6 papers
About the Influence of Workflow Topology on Task Intensity Prediction through Graph Learning
Max Otto, Haci Ismail Aslan, Joel Witzke +2
Efficient resource provisioning for large-scale workflows on cloud infrastructures is a critical performance engineering challenge. These workflows are often structured as directed…
Optimizing Memory Allocation in Distributed Clusters with Predictive Modeling
Jonathan Bader, Edgar Blumenthal, Marten Eckardt +5
In modern distributed systems, efficient resource allocation is a vital aspect to maintain scalability, reduce operational costs, and ensure fast execution even across heterogeneou…
QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
Haci Ismail Aslan, Syed Muhammad Mahmudul Haque, Joel Witzke +1
Modern applications increasingly span across cloud, fog, and edge environments, demanding orchestration systems that can adapt to diverse deployment contexts while meeting Quality-…
Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum
Amjad Ullah, Andras Markus, Hacı İsmail Aslan +5
The efficient management of complex distributed applications in the Cloud-Edge continuum, including their deployment on heterogeneous computing resources and run-time operations, p…
-GNN: A Robust Ensemble Approach Against Graph Structure Perturbation
Haci Ismail Aslan, Philipp Wiesner, Ping Xiong +1
Graph Neural Networks (GNNs) are playing an increasingly important role in the efficient operation and security of computing systems, with applications in workload scheduling, anom…
Classification of vertices on social networks by multiple approaches
Hacı İsmail Aslan, Chang Choi, Hoon Ko
Due to the advent of the expressions of data other than tabular formats, the topological compositions which make samples interrelated came into prominence. Analogically, those netw…