Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning
Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Ślȩzak
Topics & Concepts
Computer scienceScalabilityLeverage (statistics)Big dataCloud computingAutoregressive integrated moving averageIBMScheduling (production processes)Total cost of ownershipArchitectureScheduleDistributed computingDatabaseData miningTime seriesMathematical optimizationOperating systemArtificial intelligenceArtMathematicsVisual artsMachine learningNanotechnologyMaterials scienceCloud Computing and Resource ManagementBig Data and Business IntelligenceIoT and Edge/Fog Computing