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Sökning: WFRF:(Ali Imran) > (2020-2024) > Dynamic application...

Dynamic application partitioning and task-scheduling secure schemes for biosensor healthcare workload in mobile edge cloud

Lakhan, Abdullah (författare)
Mobile Technology Lab, Department of Technology, Kristiania University College, Norway
Li, Jin (författare)
School of Computer Science, Beijing Jiaotong University, China
Groenli, Tor Morten (författare)
Mobile Technology Lab, Department of Technology, Kristiania University College, Norway
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Hassan Sodhro, Ali (författare)
Högskolan Kristianstad,Avdelningen för datavetenskap,Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
Zardari, Nawaz Ali (författare)
Faculty of Electrical Engineering, University Technology, Malaysia
Imran, Ali Shariq (författare)
Department of Computer Science, Norwegian University of Science and Technology, Norway
Thinnukool, Orawit (författare)
Research Group of Embedded Systems and Mobile Application in Health Science, College of Arts, Media and Technology, Chiang Mai University, Thailand
Khuwuthyakorn, Pattaraporn (författare)
Research Group of Embedded Systems and Mobile Application in Health Science, College of Arts, Media and Technology, Chiang Mai University, Thailand
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 (creator_code:org_t)
2021
2021
Engelska.
Ingår i: Electronics. - 2079-9292. ; 10:22, s. 1-30
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Currently, the use of biosensor-enabled mobile healthcare workflow applications in mobile edge-cloud-enabled systems is increasing progressively. These applications are heavyweight and divided between a thin client mobile device and a thick server edge cloud for execution. Application partitioning is a mechanism in which applications are divided based on resource and energy parameters. However, existing application-partitioning schemes widely ignore security aspects for healthcare applications. This study devises a dynamic application-partitioning workload task-scheduling-secure (DAPWTS) algorithm framework that consists of different schemes, such as min-cut algorithm, searching node, energy-enabled scheduling, failure scheduling, and security schemes. The goal is to minimize the energy consumption of nodes and divide the application between local nodes and edge nodes by applying the secure min-cut algorithm. Furthermore, the study devises the secure-min-cut algorithm, which aims to migrate data between nodes in a secure form during application partitioning in the system. After partitioning the applications, the node-search algorithm searches optimally to run applications under their deadlines. The energy and failure schemes maintain the energy consumption of the nodes and the failure of the system. Simulation results show that DAPWTS outperforms existing baseline approaches by 30% in terms of energy consumption, deadline, and failure of applications in the system.

Ämnesord

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Nyckelord

failure
dynamic application partitioning
task scheduling
offloading
energy consumption
MD5
MECCA
Electrical and Electronic Engineering
Computer Networks and Communications
Hardware and Architecture
Signal Processing
Control and Systems Engineering

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