Review on Multiobjective Task Scheduling in Cloud Computing using Nature Inspired Algorithms

Author(s):  
Shikha Chaudhary ◽  
Saroj Hiranwal ◽  
C. P. Gupta

In cloud computing huge pool of resources are available and shared through internet. The scheduling is a core technique which determines the performance of a cloud computing system. The goal of scheduling is to allocate task to appropriate machine to achieve one or more QOS. To find the suitable resource among pool of resources to achieve the goal is an NP Complete problem. A new class of algorithm called nature inspired algorithm came into existence to find optimal solution.  In this paper we provide a survey as well as a comparative analysis of various existing nature inspired scheduling algorithms which are based on genetic algorithm and ant colony optimization algorithm. 

2010 ◽  
Vol 20 (5) ◽  
pp. 1337-1348 ◽  
Author(s):  
Kang CHEN ◽  
Wei-Min ZHENG

2016 ◽  
Vol 11 (1) ◽  
pp. 72-80
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov

In article one of possible approaches to synthezis of group control of mobile robots which is based on use of cloud computing is considered. Distinctive feature of the offered techniques is adequate reflection of specifics of a scope and the robots of tasks solved by group in architecture of control-information systems, methods of the organization of information exchange, etc. The approach offered by authors allows to increase reliability and robustness of collectives of robots, to lower requirements to airborne computers when saving summary high performance in general.


2021 ◽  
Vol 11 (9) ◽  
pp. 3887
Author(s):  
María Luisa Sein-Echaluce ◽  
Angel Fidalgo-Blanco ◽  
Francisco José García-Peñalvo ◽  
David Fonseca

Active educational methodologies promote students to take an active role in their own learning, enhance cooperative work, and develop a collective understanding of the subject as a common learning area. Cloud Computing enables the learning space to be supported while also revolutionizing it by allowing it to be used as a link between active methodology and students’ learning activities. A Cloud Computing system is used in conjunction with an active methodology to recognize and manage individual, group, and collective evidence of the students’ work in this research. The key hypothesis shown in this work is that if evidence management is made clear and evidence is consistently and gradually presented to students, their level of involvement will increase, and their learning outcomes will improve. The model was implemented in a university subject of a first academic year using the active Flipped Classroom methodology, and the individual, group and collective evidence is constantly worked with throughout the implementation of a teamwork method.


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