Resource Allocation of Multi-User Workloads in Cloud and Edge Data-Centers Using Reinforcement Learning.
Julian JimenezPaola SotoDanny De VleeschauwerChia-Yu ChangYorick De BockSteven LatréMiguel CameloPublished in: CNSM (2023)
Keyphrases
- multi user
- data center
- resource allocation
- reinforcement learning
- cloud computing
- cloud computing environment
- virtual machine
- virtual environment
- energy efficiency
- cost effective
- user interface
- multi granularity
- resource management
- virtual world
- optimal resource allocation
- resource allocation problems
- power consumption
- augmented reality
- single user
- database systems
- energy consumption
- multiple users
- reinforcement learning algorithms
- allocation problems
- carbon dioxide
- computing resources
- multi tenant
- markov decision processes
- learning algorithm
- scarce resources
- cloud services
- resource allocation decisions
- resource allocation and scheduling
- access patterns
- business models
- optimal policy
- service providers
- computer systems
- state space
- multi agent
- real time
- distributed computing
- cloud storage
- peer to peer
- data management
- cloud infrastructure
- distributed resource allocation
- database