Cloud data storage with improved resource scheduling in healthcare application based on security system

被引：2

作者：

Vishwakarma, Santosh ^{[1
]}

Goswami, Rajat Subhra ^{[1
]}

Dutta, Saibal ^{[2
]}

Sakthivel, V. ^{[3
]}

Prakash, P. ^{[3
]}

Vijayakumar, P. ^{[4
]}

Thangavelu, Lakshmi ^{[5
]}

机构：

[1] Natl Inst Technol, Dept Comp Sci & Engn, Jote 791113, Arunachal Prade, India

[2] SAS Res & Dev, Pune, Maharashtra, India

[3] Vellore Inst Technol, Sch Comp Sci & Engn, Chennai, Tamil Nadu, India

[4] Vellore Inst Technol, Sch Elect Engn, Chennai, Tamil Nadu, India

[5] Saveetha Univ, Saveetha Inst Med & Tech Sci, Saveetha Dent Coll, Dept Pharmacol, Chennai, Tamil Nadu, India

来源：

OPTIK | 2023年 / 272卷

关键词：

Cloud computing; Healthcare Data storage; Resource scheduling; Metaheuristics; Security system; ALLOCATION;

D O I：

10.1016/j.ijleo.2022.170225

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In recent times the cloud-related Internet of Medical Things (IoMT) solution offers numerous healthcare services to wearable sensor gadgets for patients. Particularly, cost-efficient electrocardiogram (ECG) sensors like Lead I and Lead II requires continual cloud services for realistic execution. This study focuses on the development of reptile search algorithm-based cloud data storage with improved resource scheduling (RSACDS-IRS) techniques for healthcare applications to derive optimal resource scheduling procedures in the cloud security platform by minimizing the cumulative cost. The reptile search algorithm (RSA) simulates the hunting and encircling behaviours of the crocodile to attain a gradient free methodology to tackle complex optimization problem. The comprehensive experimental analysis inferred that the attained values ensure the improvements of the RSACDS-IRS model over other ones.

引用

页数：8

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