Computational Intelligence for Cloud Computing [Guest Editorial]

2015 ◽  
Vol 10 (1) ◽  
pp. 18-51
Author(s):  
Pascal Bouvry ◽  
El-Ghazali Talbi
Author(s):  
Santanu Dam ◽  
Gopa Mandal ◽  
Kousik Dasgupta ◽  
Parmartha Dutta

This book chapter proposes use of Ant Colony Optimization (ACO), a novel computational intelligence technique for balancing loads of virtual machine in cloud computing. Computational intelligence(CI), includes study of designing bio-inspired artificial agents for finding out probable optimal solution. So the central goal of CI can be said as, basic understanding of the principal, which helps to mimic intelligent behavior from the nature for artifact systems. Basic strands of ACO is to design an intelligent multi-agent systems imputed by the collective behavior of ants. From the perspective of operation research, it's a meta-heuristic. Cloud computing is a one of the emerging technology. It's enables applications to run on virtualized resources over the distributed environment. Despite these still some problems need to be take care, which includes load balancing. The proposed algorithm tries to balance loads and optimize the response time by distributing dynamic workload in to the entire system evenly.


2019 ◽  
Vol 78 (10) ◽  
pp. 12639-12645
Author(s):  
Mohammed El Hassouni ◽  
Rachid Jennane ◽  
Ahmed Ben Hamida ◽  
Habib Benali ◽  
Basel Solaiman

2015 ◽  
Vol 10 (4) ◽  
pp. 10-11 ◽  
Author(s):  
Amir Hussain ◽  
Dacheng Tao ◽  
Jonathan Wu ◽  
Dongbin Zhao

2015 ◽  
Vol 10 (2) ◽  
pp. 16-17 ◽  
Author(s):  
Guang-Bin Huang ◽  
Erik Cambria ◽  
Kar-Ann Toh ◽  
Bernard Widrow ◽  
Zongben Xu

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