A new strategy based on approximate dynamic programming to maximize the net revenue of IaaS cloud providers with limited resources.
Wenying YuePeng DuXiongwen QuanYing ChenPublished in: Future Gener. Comput. Syst. (2019)
Keyphrases
- limited resources
- approximate dynamic programming
- cloud computing
- computing resources
- service providers
- processing power
- cloud services
- linear program
- reinforcement learning
- control policy
- dynamic programming
- data center
- stochastic dynamic programming
- service level agreements
- resource limitations
- multiscale
- virtual machine
- average cost
- step size
- markov chain
- data management
- markov decision processes
- special case
- lower bound
- data mining