H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers.
Mingxi ChengJi LiPaul BogdanShahin NazarianPublished in: CoRR (2019)
Keyphrases
- quality of service
- data center
- resource management
- cloud computing
- resource utilization
- virtual machine
- qos requirements
- service level agreements
- traffic engineering
- energy aware
- response time
- ad hoc networks
- admission control
- network resources
- resource allocation
- energy consumption
- context aware
- web services
- database
- qos routing
- resource consumption
- grid computing
- power consumption
- data mining