Improved Adaptive Fault Tolerance Model for Increasing Reliability in Cloud Computing Using Event-B

Author(s):  
Ammar Alhaj Ali ◽  
Roman Jasek ◽  
Said Krayem ◽  
Bronislav Chramcov ◽  
Petr Zacek
Author(s):  
M. Chaitanya ◽  
K. Durga Charan

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.


2013 ◽  
Vol 64 (14) ◽  
pp. 37-41 ◽  
Author(s):  
Prasenjit KumarPatra ◽  
Harshpreet Singh ◽  
Gurpreet Singh

Author(s):  
Md. Robiul Alam Robel ◽  
Subrato Bharati ◽  
Prajoy Podder ◽  
Md. Raihan-Al-Masud ◽  
Sanjoy Mandal

Author(s):  
A. H. M. Shahariar Parvez ◽  
Md. Robiul Alam Robel ◽  
Mohammad Abdur Rouf ◽  
Prajoy Podder ◽  
Subrato Bharati

2021 ◽  
Vol 12 (11) ◽  
pp. 1523-1533
Author(s):  
Bidush Kumar Sahoo , Et. al.

Cloud computing is built upon the advancement of virtualization and distributed computing to support cost-efficient usage of computing resources and to provide on demand services. After methodical analysis on various factors affecting fault tolerance during load balancing is performed and it is concluded that the factors influencing fault tolerance in load balancing are cloud security, adaptability etc. in comparatively more software firms. In this paper, we have created a model for various IT industries for checking the fault tolerance during Load balancing. An exploration is done with the help of some renowned IT farms and industries in South India. This work consists of 20 hypotheses which may affect the fault tolerance during load balancing in South India. It is verified by using potential statistical analysis tool i.e. Statistical Package for Social Science (SPSS).


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