H₂O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers.
Mingxi ChengJi LiPaul BogdanShahin NazarianPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2020)
Keyphrases
- quality of service
- data center
- resource management
- cloud computing
- traffic engineering
- qos requirements
- response time
- service level agreements
- virtual machine
- web services
- resource utilization
- power consumption
- resource consumption
- management system
- energy aware
- energy consumption
- network resources
- ip networks
- end to end
- energy efficiency
- computing resources
- data warehouse
- admission control
- data streams
- database
- qos parameters