Some properties of the bilevel programming problem
Journal of Optimization Theory and Applications
Machine learning: neural networks, genetic algorithms, and fuzzy systems
Machine learning: neural networks, genetic algorithms, and fuzzy systems
Distributed Computer-Aided Engineering: For Analysis, Design, and Visualization
Distributed Computer-Aided Engineering: For Analysis, Design, and Visualization
The Niched Pareto Genetic Algorithm 2 Applied to the Design of Groundwater Remediation Systems
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing
Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing
MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Hadoop: The Definitive Guide
Writer identification using fractal dimension of wavelet subbands in gabor domain
Integrated Computer-Aided Engineering
Energy proportional datacenter networks
Proceedings of the 37th annual international symposium on Computer architecture
Energy-Efficient Cloud Computing
The Computer Journal
Energy aware consolidation for cloud computing
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Integrated Computer-Aided Engineering - Data Mining in Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
IEEE Transactions on Evolutionary Computation
U-measure: a quality measure for multiobjective programming
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Energy-Aware Genetic Algorithms for Task Scheduling in Cloud Computing
CHINAGRID '12 Proceedings of the 2012 Seventh ChinaGrid Annual Conference
Causally-guided evolutionary optimization and its application to antenna array design
Integrated Computer-Aided Engineering
Teleoperation of multi-agent systems with nonuniform control input delays
Integrated Computer-Aided Engineering
Network management framework and lifetime evaluation method for wireless sensor networks
Integrated Computer-Aided Engineering
An efficient GPU implementation of fixed-complexity sphere decoders for MIMO wireless systems
Integrated Computer-Aided Engineering
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Soaring power consumption and limited communication bandwidth are the most critical issues involved in cloud computing. Reducing energy consumption will not only cut down the operational costs of data centers, but also reduce the amount of greenhouse gases emissions. In order to improve energy efficiency of servers, a new multi-objective bi-level programming model based on MapReduce is proposed in this paper. In the model, first, the relationship between performance and energy consumption of servers is taken into account. Second, data locality can be adjusted dynamically according to current network state. Third, data placement policies and task-scheduling strategies are considered simultaneously as a whole. In order to solve the model efficiently, specific-designed encoding and decoding methods are introduced. With these, a new effective multi-objective genetic algorithm on the basis of Multiobjective Evolutionary Algorithm Based on Decomposition MOEA/D is presented. As tasks involved in cloud computing are usually tens of thousands, a local search operator is designed in order to accelerate convergent speed of the proposed algorithm. Finally, numerical experiments are made and the results indicate the reasonableness of the model and the effectiveness of the proposed algorithm.