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

Santosh Vishwakarma; Rajat Subhra Goswami; Saibal Dutta; V. Sakthivel; P. Prakash; P. Vijayakumar; Lakshmi Thangavelu

doi:10.1016/j.ijleo.2022.170225

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

Santosh Vishwakarma
, Rajat Subhra Goswami
, Saibal Dutta
, V. Sakthivel
, P. Prakash
, P. Vijayakumar
, Lakshmi Thangavelu

National Institute of Technology Arunachal Pradesh
SAS Research and Development
Vellore Institute of Technology
Saveetha Institute of Medical and Technical Sciences (Deemed to be University)

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

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.

Original language	English
Article number	170225
Journal	Optik
Volume	272
DOIs	https://doi.org/10.1016/j.ijleo.2022.170225
State	Published - Feb 2023
Externally published	Yes

Keywords

Cloud computing
Data storage
Healthcare
Metaheuristics, Security system
Resource scheduling

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10.1016/j.ijleo.2022.170225

Cite this

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title = "Cloud data storage with improved resource scheduling in healthcare application based on security system",

abstract = "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.",

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author = "Santosh Vishwakarma and Goswami, \{Rajat Subhra\} and Saibal Dutta and V. Sakthivel and P. Prakash and P. Vijayakumar and Lakshmi Thangavelu",

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year = "2023",

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doi = "10.1016/j.ijleo.2022.170225",

language = "English",

volume = "272",

journal = "Optik",

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TY - JOUR

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AU - Vishwakarma, Santosh

AU - Goswami, Rajat Subhra

AU - Dutta, Saibal

AU - Sakthivel, V.

AU - Prakash, P.

AU - Vijayakumar, P.

AU - Thangavelu, Lakshmi

PY - 2023/2

Y1 - 2023/2

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AB - 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.

KW - Cloud computing

KW - Data storage

KW - Healthcare

KW - Metaheuristics, Security system

KW - Resource scheduling

UR - https://www.scopus.com/pages/publications/85142178996

U2 - 10.1016/j.ijleo.2022.170225

DO - 10.1016/j.ijleo.2022.170225

M3 - Article

AN - SCOPUS:85142178996

SN - 0030-4026

VL - 272

JO - Optik

JF - Optik

M1 - 170225

ER -

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

Abstract

Keywords

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