Auto-scalable and fault-tolerant load balancing mechanism for cloud computing based on the proof-of-work election

2021 ◽  
Vol 65 (1) ◽  
Author(s):  
Xiaoqin Feng ◽  
Jianfeng Ma ◽  
Shaobin Liu ◽  
Yinbin Miao ◽  
Ximeng Liu
2018 ◽  
Vol 7 (4.12) ◽  
pp. 39
Author(s):  
Virendra Singh Kushwah ◽  
Sandip K. Goyal ◽  
Avinash Sharma

Any technical problem can be main cause for any fault. Due to any fault, system would be suffered the work and enhance the system cost in term of money and others. There are many algorithms for fault tolerant in cloud computing and make comparison with fault tolerant based ant colony optimization and which is used to minimize fault during load balancing. In this paper, throughput is measured by such kind of fault tolerant based algorithms and determines that which algorithm is better. It has been compared with ACO. After such comparison, it is clearly determined that ACO has good functionalities to have better throughput. Comparative study is shown by the graphically and finally described that ACO is better than others in context of throughput calculation are. ACO is itself a meta-heuristic algorithm and better optimization technique.  


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.


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