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02/11/2023
CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments
Intelligent Virtual Machine (VM) provisioning is central to cost and res...
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12/02/2022
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model
The emergence of latency-critical AI applications has been supported by ...
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08/16/2022
DRAGON: Decentralized Fault Tolerance in Edge Federations
Edge Federation is a new computing paradigm that seamlessly interconnect...
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08/01/2022
AI Augmented Edge and Fog Computing: Trends and Challenges
In recent years, the landscape of computing paradigms has witnessed a gr...
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05/21/2022
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments
Task scheduling is a well-studied problem in the context of optimizing t...
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05/21/2022
Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments
The operational cost of a cloud computing platform is one of the most si...
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05/21/2022
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments
In recent years, deep learning models have become ubiquitous in industry...
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03/14/2022
CAROL: Confidence-Aware Resilience Model for Edge Federations
In recent years, the deployment of large-scale Internet of Things (IoT) ...
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01/18/2022
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data
Efficient anomaly detection and diagnosis in multivariate time-series da...
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12/16/2021
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments
Recently, intelligent scheduling approaches using surrogate models have ...
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12/14/2021
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems
Workflow scheduling is a long-studied problem in parallel and distribute...
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12/04/2021
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing
Building a fault-tolerant edge system that can quickly react to node ove...
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11/19/2021
START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks
Modern large-scale computing systems distribute jobs into multiple small...
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10/25/2021
Optimal Auction Design for the Gradual Procurement of Strategic Service Provider Agents
We consider an outsourcing problem where a software agent procures multi...
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10/11/2021
HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing
The worldwide adoption of cloud data centers (CDCs) has given rise to th...
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10/06/2021
Generative Optimization Networks for Memory Efficient Data Generation
In standard generative deep learning models, such as autoencoders or GAN...
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04/29/2021
COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
Intelligent task placement and management of tasks in large-scale fog pl...
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11/14/2020
GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability
We propose an efficient algorithm to visualise symmetries in neural netw...
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09/02/2020
On Population-Based Algorithms for Distributed Constraint Optimization Problems
Distributed Constraint Optimization Problems (DCOPs) are a widely studie...
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03/28/2020
Real-Time Detection of Dictionary DGA Network Traffic using Deep Learning
Botnets and malware continue to avoid detection by static rules engines ...
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02/27/2020
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
Distributed Constraint Optimization Problems (DCOPs) are an important fr...
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11/13/2019
Streaming Bayesian Inference for Crowdsourced Classification
A key challenge in crowdsourcing is inferring the ground truth from nois...
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09/13/2019
AED: An Anytime Evolutionary DCOP Algorithm
Evolutionary optimization is a generic population-based metaheuristic th...
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03/07/2019
Selling Multiple Items via Social Networks
We consider a market where a seller sells multiple units of a commodity ...
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09/17/2015
Efficient Task Collaboration with Execution Uncertainty
We study a general task allocation problem, involving multiple agents th...
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09/26/2013
Learning Periodic Human Behaviour Models from Sparse Data for Crowdsourcing Aid Delivery in Developing Countries
In many developing countries, half the population lives in rural locatio...
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09/08/2013
Regret-Based Multi-Agent Coordination with Uncertain Task Rewards
Many multi-agent coordination problems can be represented as DCOPs. Moti...
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04/09/2012
Knapsack based Optimal Policies for Budget-Limited Multi-Armed Bandits
In budget-limited multi-armed bandit (MAB) problems, the learner's actio...
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03/15/2012
Automated Planning in Repeated Adversarial Games
Game theory's prescriptive power typically relies on full rationality an...
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02/14/2012
Filtered Fictitious Play for Perturbed Observation Potential Games and Decentralised POMDPs
Potential games and decentralised partially observable MDPs (Dec-POMDPs)...
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02/08/2011