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[PDF] Top 20 Performance Modeling and Multi-Objective Optimization for Data Analytics in the Cloud

Has 10000 "Performance Modeling and Multi-Objective Optimization for Data Analytics in the Cloud" found on our website. Below are the top 20 most common "Performance Modeling and Multi-Objective Optimization for Data Analytics in the Cloud".

Performance Modeling and Multi-Objective Optimization for Data Analytics in the Cloud

Performance Modeling and Multi-Objective Optimization for Data Analytics in the Cloud

... specifies the kernel type to be used in the ...validation, the kernel was chosen from {rbf, linear} – C : Penalty parameter of the error ...term. The C parameter tells the ... Voir le document complet

75

High-Performance Computing for Data Analytics

High-Performance Computing for Data Analytics

... on the device where fine resolutions is needed for micro- and nano- scale ...high performance, large scale infrastructure to ...public cloud infrastructure, the algorithmic ... Voir le document complet

9

2015 — Multi-objective ACO resource consolidation in cloud computing environment

2015 — Multi-objective ACO resource consolidation in cloud computing environment

... Zhu and Young (Zhu et al., 2009) worked on the issue of resource management for mapping virtual resource to physical ...system for integrating different resource controllers into three various ... Voir le document complet

125

Spark versus Flink: Understanding Performance in Big Data Analytics Frameworks

Spark versus Flink: Understanding Performance in Big Data Analytics Frameworks

... Abstract—Big Data analytics has recently gained increasing popularity as a tool to process large amounts of data ...Spark and Flink are two Apache-hosted data analytics frame- ... Voir le document complet

12

Bi-objective CSO for Big Data ScientificWorkflows scheduling in the Cloud: case of LIGO workflow

Bi-objective CSO for Big Data ScientificWorkflows scheduling in the Cloud: case of LIGO workflow

... environment and algorithm parameters As a simulation environment, we used the Work- flowSim (Chen and Deelman, 2012) on which we im- plemented our proposed algorithm ...extends the CloudSim ... Voir le document complet

10

Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources

Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources

... within the coming ...input in near real time. Cloud-based architectures often centralize storage and processing, generating high data movement overheads that penalize real-time ...Edge ... Voir le document complet

11

Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing

Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing

... demand for handling massive amounts of data in a timely manner via Distributed Stream Processing ...over the incoming data and edges representing the data streams ... Voir le document complet

11

Design for structural and energy performance of long span buildings using geometric multi-objective optimization

Design for structural and energy performance of long span buildings using geometric multi-objective optimization

... addresses the potential of multi-objective optimization (MOO) in conceptual design to help designers generate and select solutions from a geometrically diverse range of ... Voir le document complet

43

View of Multi-objective optimization of bio-based thermal insulation materials in building modeling

View of Multi-objective optimization of bio-based thermal insulation materials in building modeling

... electricity and total environmental impact with thickness increase Against our preconceptions, some materials have a higher environmental impact than ...polyurethane. For all the selected materials ... Voir le document complet

6

High-Dimensional Bayesian Multi-Objective Optimization

High-Dimensional Bayesian Multi-Objective Optimization

... common in design engineering, a vehicle is made of several systems interacting together, such as the engine, the suspensions, the bodystructure, electrical ...guarantee performance, ... Voir le document complet

281

Local Search, data structures and Monte Carlo Search for Multi-Objective Combinatorial Optimization Problems

Local Search, data structures and Monte Carlo Search for Multi-Objective Combinatorial Optimization Problems

... approach, for which the preferences of the decision maker are not known a priori, ...before the optimization process of the ...to the notion of Pareto dominance: a ... Voir le document complet

206

Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: application to geophysical prospecting

Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: application to geophysical prospecting

... among the most important building blocks for modeling, and are a classical form of ...fitness, and introduces genetic variation using one or more genetic ...sizes and shapes ... Voir le document complet

39

Virtual Reality High Dimensional Objective Spaces for Multi-Objective Optimization: An Improved Representation

Virtual Reality High Dimensional Objective Spaces for Multi-Objective Optimization: An Improved Representation

... chosen for the study, whose fronts are segments of spherical surfaces with a straight- forward generalization towards higher dimensional objective spaces (hyperspherical surfaces) ...with the ... Voir le document complet

10

Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions

Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions

... time): the mechanism of adding q points simultaneously spreads the points a bit more in the targeted region than mEI ...does. In this broader central part, the time to target ... Voir le document complet

26

Multi-objective optimization of a building envelope for thermal performance using genetic algorithms and artificial neural network

Multi-objective optimization of a building envelope for thermal performance using genetic algorithms and artificial neural network

... methodology for building envelope opti- mization in terms of thermal ...performance. In order to reduce the computation time without reducing the complexity of the prob- ... Voir le document complet

9

Meta-model-assisted MGDA for multi-objective functional optimization

Meta-model-assisted MGDA for multi-objective functional optimization

... method for multi-objective differentiable optimization, the Multiple-Gradient Descent Algorithmm (MGDA), has been proposed in [8] [11] to identify Pareto ...fronts. In ... Voir le document complet

45

Single- and multi-objective genetic algorithm optimization for identifying soil parameters

Single- and multi-objective genetic algorithm optimization for identifying soil parameters

... choose the algorithm to be used for the inverse analysis, the user has to take into account two aspects: the expected reliability and wealth of the information, on one ... Voir le document complet

23

Geometric model for automated multi-objective optimization of foils

Geometric model for automated multi-objective optimization of foils

... to the classic architects line plan, describing more precisely the out- lines of the object around the generating ...on the generating curve by a local coordinate system, an origin ... Voir le document complet

13

Visualizing high dimensional objective spaces for multi-objective optimization: a virtual reality approach

Visualizing high dimensional objective spaces for multi-objective optimization: a virtual reality approach

... 0.003289) for fronts constructed with radii 1, 5, 10, 20 and 50 ...these and other algorithms has been made [8]. The 4- dimensional objective spaces represent approximations to ... Voir le document complet

10

Axes and Coordinate Systems Representations for Immersive Analytics of Multi-Dimensional Data

Axes and Coordinate Systems Representations for Immersive Analytics of Multi-Dimensional Data

... put the user outside of the data volume usually fulfill the ”understand the space” tasks ...[18] for instance use axes, 2D grids and labels to provide in- formation ... Voir le document complet

11

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