1 citations · 1 across the 4 of their papers we have counts for
4 papers
RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks
Arefin Niam, Tevfik Kosar, M S Q Zulkar Nine
Graph Neural Networks (GNNs) have become popular across a diverse set of tasks in exploring structural relationships between entities. However, due to the highly connected structur…
RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks
Arefin Niam, M S Q Zulkar Nine
Graph Neural Networks (GNNs) have achieved state-of-the-art (SOTA) performance in diverse domains. However, training GNNs on large-scale graphs poses significant challenges due to…
GreenNFV: Energy-Efficient Network Function Virtualization with Service Level Agreement Constraints
MD S Q Zulkar Nine, Tevfik Kosar, Fatih Bulut +1
Network Function Virtualization (NFV) platforms consume significant energy, introducing high operational costs in edge and data centers. This paper presents a novel framework calle…
Energy-saving Cross-layer Optimization of Big Data Transfer Based on Historical Log Analysis
Lavone Rodolph, MD S Q Zulkar Nine, Luigi Di Tacchio +1
With the proliferation of data movement across the Internet, global data traffic per year has already exceeded the Zettabyte scale. The network infrastructure and end-systems facil…