Publication | Closed Access
Intelligent Workload Factoring for a Hybrid Cloud Computing Model
118
Citations
20
References
2009
Year
Unknown Venue
Cluster ComputingIntelligent Workload FactoringProvisioning (Technology)EngineeringCloud Computing ArchitectureCloud Load BalancingCloud Resource ManagementData ScienceEnterprise CustomersManagementSystems EngineeringData IntegrationCloud Data ManagementParallel ComputingData ManagementComputer ScienceCloud Service AdaptationBase WorkloadEdge ComputingIntelligent WorkloadCloud ComputingParallel ProgrammingIndustrial InformaticsWorkload ManagementBig Data
We present an intelligent workload factoring service for enterprise customers to make the best use of public cloud services along with their privately-owned (legacy) data centers. It enables federation between on- and off-premise infrastructures for hosting Internet-based applications, and the intelligence lies in the explicit segregation of base workload and trespassing workload, the two naturally different components composing the application workload. The core technology of the intelligent workload factoring service is a fast frequent data item detection algorithm, which enables factoring incoming requests not only on volume but also on data content, upon changing application data popularity.
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