Hybrid PSO-MOBA for Profit Maximization in Cloud Computing
暂无分享,去创建一个
[1] Frank Kursawe,et al. A Variant of Evolution Strategies for Vector Optimization , 1990, PPSN.
[2] Randy H. Katz,et al. Above the Clouds: A Berkeley View of Cloud Computing , 2009 .
[3] Rajkumar Buyya,et al. SLA-based admission control for a Software-as-a-Service provider in Cloud computing environments , 2012, J. Comput. Syst. Sci..
[4] Michael P. Fourman,et al. Compaction of Symbolic Layout Using Genetic Algorithms , 1985, ICGA.
[5] Gary B. Lamont,et al. Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.
[6] Thomas Bäck,et al. Evolutionary computation: comments on the history and current state , 1997, IEEE Trans. Evol. Comput..
[7] Yun Chi,et al. SLA-Aware Profit Optimization in Cloud Services via Resource Scheduling , 2010, 2010 6th World Congress on Services.
[8] David E. Culler,et al. User-Centric Performance Analysis of Market-Based Cluster Batch Schedulers , 2002, 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02).
[9] Albert Y. Zomaya,et al. Profit-Driven Service Request Scheduling in Clouds , 2010, 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing.
[10] Stefan Bosse,et al. Distributed and Cloud Computing: The Big Machine , 2017 .
[11] Xin-She Yang,et al. Bat algorithm for multi-objective optimisation , 2011, Int. J. Bio Inspired Comput..
[12] Keqin Li. Optimal configuration of a multicore server processor for managing the power and performance tradeoff , 2011, The Journal of Supercomputing.
[13] Rajkumar Buyya,et al. Libra: a computational economy‐based job scheduling system for clusters , 2004, Softw. Pract. Exp..
[14] Dong Seong Kim,et al. End-to-End Performability Analysis for Infrastructure-as-a-Service Cloud: An Interacting Stochastic Models Approach , 2010, 2010 IEEE 16th Pacific Rim International Symposium on Dependable Computing.
[15] P. Mell,et al. The NIST Definition of Cloud Computing , 2011 .
[16] D. Dentcheva,et al. On several concepts for ɛ-efficiency , 1994 .
[17] John Wilkes,et al. Profitable services in an uncertain world , 2005, ACM/IEEE SC 2005 Conference (SC'05).
[18] David Corne,et al. The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[19] Keqin Li. Optimal Load Distribution for Multiple Heterogeneous Blade Servers in a Cloud Computing Environment , 2011, IPDPS Workshops.
[20] Geoffrey C. Fox,et al. Distributed and Cloud Computing: From Parallel Processing to the Internet of Things , 2011 .
[21] R. Raju,et al. Profit maximization in cloud computing , 2014, International Conference on Information Communication and Embedded Systems (ICICES2014).
[22] Anantha P. Chandrakasan,et al. Low-power CMOS digital design , 1992 .
[23] David E. Goldberg,et al. A niched Pareto genetic algorithm for multiobjective optimization , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[24] Lothar Thiele,et al. Multiobjective genetic programming: reducing bloat using SPEA2 , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[25] David E. Irwin,et al. Balancing risk and reward in a market-based task service , 2004, Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004..
[26] Stephen R. Marsland,et al. Convergence Properties of (μ + λ) Evolutionary Algorithms , 2011, AAAI.
[27] Rajkumar Buyya,et al. Resource Provisioning Policies to Increase IaaS Provider's Profit in a Federated Cloud Environment , 2011, 2011 IEEE International Conference on High Performance Computing and Communications.
[28] Rajkumar Buyya,et al. A taxonomy of market-based resource management systems for utility-driven cluster computing , 2006 .
[29] Günter Rudolph,et al. Evolutionary Search for Minimal Elements in Partially Ordered Finite Sets , 1998, Evolutionary Programming.
[30] Dave Durkee,et al. Why cloud computing will never be free , 2010, ACM Queue.
[31] Martin J. Oates,et al. The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation , 2000, PPSN.
[32] David Blaauw,et al. Theoretical and practical limits of dynamic voltage scaling , 2004, Proceedings. 41st Design Automation Conference, 2004..
[33] Barrie Sosinsky,et al. Cloud Computing Bible , 2010 .
[34] Hisao Ishibuchi,et al. Multi-objective genetic local search algorithm , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.
[35] Harry G. Perros,et al. SLA-based resource allocation in cluster computing systems , 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.