543 citations · 2.3k across the 163 of their papers we have counts for
19 papers · 1 filter
Learning-based Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation
Chang-Lin Chen, Hanhan Zhou, Jiayu Chen +8
Online optimization of resource management for large-scale data centers and infrastructures to meet dynamic capacity reservation demands and various practical constraints (e.g., fe…
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design
Chenyi Liu, Vaneet Aggarwal, Tian Lan +4
Robust network design, which aims to guarantee network availability under various failure scenarios while optimizing performance/cost objectives, has received significant attention…
Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks
Washim Uddin Mondal, Praful D. Mankar, Goutam Das +2
This article proposes Convolutional Neural Network-based Auto Encoder (CNN-AE) to predict location-dependent rate and coverage probability of a network from its topology. We train…
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning
Ramkumar Raghu, Mahadesh Panju, Vaneet Aggarwal +1
Multicasting in wireless systems is a natural way to exploit the redundancy in user requests in a Content Centric Network. Power control and optimal scheduling can significantly im…
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks
Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton +4
Federated learning has generated significant interest, with nearly all works focused on a "star" topology where nodes/devices are each connected to a central server. We migrate awa…
Modeling and Optimization of Latency in Erasure-coded Storage Systems
Vaneet Aggarwal, Tian Lan
As consumers are increasingly engaged in social networking and E-commerce activities, businesses grow to rely on Big Data analytics for intelligence, and traditional IT infrastruct…