A Novel Approach for Clustering Large-scale Cloud Data using Computational Mechanism
- Authors: Zdzislaw Polkowski1, Jyoti Prakash Mishra2, Sambit Kumar Mishra3
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View Affiliations Hide Affiliations1 Department of Humanities and Social Sciences, The Karkonosze University of Applied Sciences in Jelenia Gra, Jelenia Gra, Poland 2 Gandhi Institute for Education and Technology, Baniatangi, Bhubaneswar, Affiliated to Biju Patnaik University of Technology, Rourkela, Odisha, India 3 Gandhi Institute for Education and Technology, Baniatangi, Bhubaneswar, Affiliated to Biju Patnaik University of Technology, Rourkela, Odisha, India
- Source: Data Science and Interdisciplinary Research: Recent Trends and Applications , pp 28-39
- Publication Date: September 2023
- Language: English
A Novel Approach for Clustering Large-scale Cloud Data using Computational Mechanism, Page 1 of 1
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In the present situation, with the enhancement of virtualization techniques, it is very essential to keep track of accumulated large-scaled heterogeneous data in every respect. In addition to that, it is also necessary to prioritize the processing mechanisms when being linked with clustered data. Sometimes it has been observed that the large scaled datasets are too complex and therefore, the normal computation mechanisms are not sufficient or adequate for the specific applications. But it is highly required to observe the significance of each individual dataset and focus on the responses being accumulated from other aspects to make a suitable decision and generation of efficient analytical clustered data. The main aim of such applications is to apply the clustering gaining merits from evolutionary computation to process the large-scaled data and based on optimality, the performance of datasets can be measured.
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