Consolidating VMs in Green Cloud Computing Using Harmony Search Algorithm

2018 ◽  
Author(s):  
Mohammad H. Fathi ◽  
Leyli M. Khanli
Keyword(s):  
Cloud Computing ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Green Cloud Computing ◽  
Green Cloud

scholarly journals Parallel algorithm of multiobjective optimization harmony search based on cloud computing

2017 ◽  
Vol 11 (3) ◽  
pp. 301-313 ◽  
Author(s):  
Wenjing Li ◽  
Wenhong Du ◽  
Weifeng Tang ◽  
Ying Pan ◽  
Jie Zhou ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Multiobjective Optimization ◽  
Parallel Algorithm ◽  
Search Algorithm ◽  
Harmony Search ◽  
Complex Function ◽  
Search Algorithms ◽  
Harmony Search Algorithm ◽  
Fine Tuning ◽  
Local Optimum

In order to solve the problems of traditional harmony search in complex function multiobjective optimization, such as low precision, slow convergence, and easy to fall into local optimum, this article proposes a multiobjective optimization harmony search parallel algorithm based on cloud computing. First, according to the characteristics that the traditional harmony search algorithm uses a single harmony library for storing and processing the memory harmony, and it is divided into multiple harmony sublibraries according to different harmony. At the same time, the roulette selection and dynamic trade-off factor strategies are used for the dynamic setting of harmony memory library value-taking probability, pitch fine-tuning probability, pitch fine-tuning bandwidth, and other parameters which the traditional harmony search algorithm mainly relies on. Then, MapReduce programming model is used to establish Map and Reduce core parallel computing functions, to construct the parallel algorithm of dynamic parameter harmony search based on cloud computing. Finally, the algorithm optimization comparison test is conducted on Hadoop platform and compared with several existing optimal harmony search algorithms, the searching precision of this algorithm is improved by eight orders of magnitude, and the iteration number on the convergence speed is reduced by 6500 times, and the parallel achieves the linear acceleration ratio. Experimental results show that the optimization efficiency of this algorithm is higher than several existing optimal harmony search algorithms.

Optimal linear cooperation spectrum sensing method based on chaos harmony search algorithm

2013 ◽  
Vol 32 (9) ◽  
pp. 2412-2417
Author(s):  
Yue-hong LI ◽  
Pin WAN ◽  
Yong-hua WANG ◽  
Jian YANG ◽  
Qin DENG
Keyword(s):  
Spectrum Sensing ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Optimal Linear
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