668 citations · 1.1k across the 17 of their papers we have counts for
12 papers · 1 filter
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model
Shreshth Tuli, Giuliano Casale, Ludmila Cherkasova +1
The emergence of latency-critical AI applications has been supported by the evolution of the edge computing paradigm. However, edge solutions are typically resource-constrained, po…
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
Task scheduling is a well-studied problem in the context of optimizing the Quality of Service (QoS) of cloud computing environments. In order to sustain the rapid growth of computa…
Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
The operational cost of a cloud computing platform is one of the most significant Quality of Service (QoS) criteria for schedulers, crucial to keep up with the growing computationa…
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
In recent years, deep learning models have become ubiquitous in industry and academia alike. Deep neural networks can solve some of the most complex pattern-recognition problems to…
CAROL: Confidence-Aware Resilience Model for Edge Federations
Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings
In recent years, the deployment of large-scale Internet of Things (IoT) applications has given rise to edge federations that seamlessly interconnect and leverage resources from mul…
HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing
Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu +8
The worldwide adoption of cloud data centers (CDCs) has given rise to the ubiquitous demand for hosting application services on the cloud. Further, contemporary data-intensive indu…