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08/15/2023
Reinforcement Learning (RL) Augmented Cold Start Frequency Reduction in Serverless Computing
Function-as-a-Service is a cloud computing paradigm offering an event-dr...
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08/11/2023
A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions
Function-as-a-Service (FaaS) introduces a lightweight, function-based cl...
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12/16/2022
An Energy-aware, Fault-tolerant, and Robust Deep Reinforcement Learning based approach for Multi-agent Patrolling Problems
Autonomous vehicles are suited for continuous area patrolling problems. ...
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05/22/2022
Blackbird's language matrices (BLMs): a new benchmark to investigate disentangled generalisation in neural networks
Current successes of machine learning architectures are based on computa...
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09/16/2020
High-Performance Mining of COVID-19 Open Research Datasets for Text Classification and Insights in Cloud Computing Environments
COVID-19 global pandemic is an unprecedented health crisis. Since the ou...
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06/02/2020
Workflow-as-a-Service Cloud Platform and Deployment of Bioinformatics Workflow Applications
Workflow management systems (WMS) support the composition and deployment...
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03/04/2019
Resource-sharing Policy in Multi-tenant Scientific Workflow as a Service Platform
Increasing adoption of scientific workflows in the community has urged f...
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12/02/2018
Containers Orchestration with Cost-Efficient Autoscaling in Cloud Computing Environments
Containers are standalone, self-contained units that package software an...
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10/10/2018
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach
Many algorithms in workflow scheduling and resource provisioning rely on...
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09/14/2018
Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions
Scientific workflows are commonly used to automate scientific experiment...
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07/17/2018
Container-based Cluster Orchestration Systems: A Taxonomy and Future Directions
Containers, enabling lightweight environment and performance isolation, ...
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07/10/2018