@article{2955,
  author = {Ashish Tiwari},
  title = {Eagle Techniques in Cloud Computational Formulation},
  journal = {Journal of Data Processing},
  year = {2020},
  volume = {10},
  number = {1},
  doi = {https://doi.org/10.6025/jdp/2020/10/1/11-29},
  url = {http://www.dline.info/jdp/fulltext/v10n1/jdpv10n1_2.pdf},
  abstract = {The Eagle expresses of Cloud computing plays a pivotal role in the development of Technology. The Technology momentum gaining Cloud System environment across the emerging Computational Intelligence as artificial intelligence in IOTs. Cloud Computing playing a pivotal role in providing the Optimized algorithms for the issues in cloud computing which are the global challenges. The problem aims to solve in such a way that it will provide an optimized solution. Among all these research areas the works are developing at a rapid speed. The rapid vision, models and challenges for efficient optimization
of resource in cloud computing world. The key role of allocating these efficient resources and making the algorithms for its time and cost optimization keeping in consideration of its quality of services and characteristics. These both are effecting the performance of these techniques is a major drawback due to low accuracy and large computational complexity of the algorithms. Therefore the concept of fuzzy system is playing a pivotal role in designing such strategies in which it makes use of the concept Fuzzy sets, Fuzzy logic and reasoning, Fuzzy controllers, Rough sets, etc. As per the scenario the approach of
the research is based on technology acceptance model (TAM) and the Rough Set Theory (RST). RST a great method for making a large difference in qualitative analysis situations. It’s a technique to found the knowledge discovery and handle the problems such as inductive reasoning, automatic classification, pattern recognition, learning algorithms, and data reduction. The rough set theory is the new method in cloud service selection so that the best services to provide for cloud users and efficient service improvement for cloud providers.},
}