Publication | Closed Access
Demand-based coordinated scheduling for SMP VMs
54
Citations
22
References
2013
Year
Unknown Venue
Cluster ComputingEngineeringComputer ArchitectureSmp VmsHardware VirtualizationSystems EngineeringParallel ComputingJob SchedulerCloud SchedulingVirtualized InfrastructureComputer EngineeringVirtualization SupportScheduling (Computing)Virtualization TechnologyEdge ComputingCloud ComputingVirtual Resource PartitioningParallel ProgrammingProcessor ArchitecturesIndividual WorkloadVirtual Machine
As processor architectures have been enhancing their computing capacity by increasing core counts, independent workloads can be consolidated on a single node for the sake of high resource efficiency in data centers. With the prevalence of virtualization technology, each individual workload can be hosted on a virtual machine for strong isolation between co-located workloads. Along with this trend, hosted applications have increasingly been multithreaded to take advantage of improved hardware parallelism. Although the performance of many multithreaded applications highly depends on communication (or synchronization) latency, existing schemes of virtual machine scheduling do not explicitly coordinate virtual CPUs based on their communication behaviors.
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