A Scheduling Mechanism Based on Optimization Using IoT-Tasks Orchestration for Efficient Patient Health Monitoring

Iqbal, Naeem; Imran,; Ahmad, Shabir; Ahmad, Rashid; Kim, Do‐Hyeun

doi:10.3390/s21165430

Cited by 29 publications

(12 citation statements)

References 59 publications

(74 reference statements)

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“…Zhao and Huang [37] presented a new microservice container fog system-based architecture for running ubiquitous and measuring delays in the transmission of sensitive applications at the lowest possible cost [37,38]. In addition, this study discussed the problems and limitations of cost-efficient task scheduling, such as heterogeneous fog servers [37,39]. For this purpose, many experts have proposed several new adaptive methods.…”

Section: Efficient Computation Of Medical-data Processing and Service...mentioning

confidence: 99%

QoS-Ledger: Smart Contracts and Metaheuristic for Secure Quality-of-Service and Cost-Efficient Scheduling of Medical-Data Processing

et al. 2021

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Quality-of-service (QoS) is the term used to evaluate the overall performance of a service. In healthcare applications, efficient computation of QoS is one of the mandatory requirements during the processing of medical records through smart measurement methods. Medical services often involve the transmission of demanding information. Thus, there are stringent requirements for secure, intelligent, public-network quality-of-service. This paper contributes to three different aspects. First, we propose a novel metaheuristic approach for medical cost-efficient task schedules, where an intelligent scheduler manages the tasks, such as the rate of service schedule, and lists items utilized by users during the data processing and computation through the fog node. Second, the QoS efficient-computation algorithm, which effectively monitors performance according to the indicator (parameter) with the analysis mechanism of quality-of-experience (QoE), has been developed. Third, a framework of blockchain-distributed technology-enabled QoS (QoS-ledger) computation in healthcare applications is proposed in a permissionless public peer-to-peer (P2P) network, which stores medical processed information in a distributed ledger. We have designed and deployed smart contracts for secure medical-data transmission and processing in serverless peering networks and handled overall node-protected interactions and preserved logs in a blockchain distributed ledger. The simulation result shows that QoS is computed on the blockchain public network with transmission power = average of −10 to −17 dBm, jitter = 34 ms, delay = average of 87 to 95 ms, throughput = 185 bytes, duty cycle = 8%, route of delivery and response back variable. Thus, the proposed QoS-ledger is a potential candidate for the computation of quality-of-service that is not limited to e-healthcare distributed applications.

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Section: Efficient Computation Of Medical-data Processing and Service...mentioning

confidence: 99%

QoS-Ledger: Smart Contracts and Metaheuristic for Secure Quality-of-Service and Cost-Efficient Scheduling of Medical-Data Processing

et al. 2021

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“…The approach is based on an intelligent task-mapping system for a closed-loop IoT healthcare environment where the system could detect and provide notifications of any abnormalities, such as the provision of the wrong medication or deteriorating conditions, which would lead to faster interventions and assistance. The same authors proposed another use of IoT technology that can ensure the safety of patients with chronic diseases or other fatal diseases through the administration of a smart patient health monitoring system (PHMS), which is based on an optimized scheduling mechanism that uses IoT tasks [ 57 ].…”

Section: Pharmaceutical Supply Chainsmentioning

confidence: 99%

Critical Success Factors and Traceability Technologies for Establishing a Safe Pharmaceutical Supply Chain

Haji

Kerbache

Sheriff

et al. 2021

MPs

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Drug counterfeits have been an international issue for almost two decades, and the latest statistics show that fake medications will continue to penetrate legitimate pharmaceutical supply chains (PSCs). Therefore, identifying the issues faced by PSCs is essential to combat the counterfeit drug problem, which will require the implementation of technologies in various phases of the PSC to gain better visibility. In this regard, a literature review was conducted to fulfill the following objectives: (i) review the application of traceability technologies in various PSC phases to detect counterfeits; (ii) analyze the various barriers affecting the establishment of a safe PSC and the critical success factors used to overcome those barriers; and (iii) develop a conceptual framework and guidelines to demonstrate the influence of traceability technologies and success factors on overcoming the various barriers in different phases of the PSC. The major finding of this review was that traceability technologies and the critical success factors have a significant influence on overcoming the barriers to establishing a safe PSC.

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“…Hosts are consisting of a large number of VMs that act as processing nodes [21]. Cloud computing handles a variety of virtualized resources, which make task scheduling very complex specially in healthcare domain [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Prioritized scheduling technique for healthcare tasks in cloud computing

et al. 2022

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The Internet-of-things (IoT) plays a significant role in healthcare monitoring, where the IoT Cloud integration introduces many new opportunities for real-time remote monitoring of the patient. Task scheduling is one of the major challenges in cloud environment. Solving that problem reduces delay, missed tasks, and failure rate, and increases the guarantee ratio. This paper proposes a new task scheduling and allocation technique: Prioritized Sorted Task-Based Allocation (PSTBA) for healthcare monitoring implemented in IoT cloud-based architecture. The proposed technique selects the best virtual machine to execute the health task considering multiple factors such as; the wait time of the VM and the Expected processing time (EPT) of the task as well as its criticality. An extensive simulation study is conducted using the CloudSim simulator to evaluate the performance of the proposed technique. The proposed technique is compared to the Sorted Task-Based Allocation (STBA) and FCFS techniques and it reduces the delay by 13.7% and 80.2%, the failure rate by 21% and 37.5%, and increases the guarantee ratio by 2.2% and 4.5% compared to STBA and FCFS, respectively. In analyzing the critical health tasks, the proposed PSTBA has also reduced the critical health tasks missed ratio by 15.7% and 50.9% compared to STBA and FCFS, respectively. The simulation results demonstrate that PSTBA is more effective than the STBA and FCFS techniques in terms of delay, missed critical tasks, guarantee ratio, and failure rate.

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A Scheduling Mechanism Based on Optimization Using IoT-Tasks Orchestration for Efficient Patient Health Monitoring

Cited by 29 publications

References 59 publications

QoS-Ledger: Smart Contracts and Metaheuristic for Secure Quality-of-Service and Cost-Efficient Scheduling of Medical-Data Processing

QoS-Ledger: Smart Contracts and Metaheuristic for Secure Quality-of-Service and Cost-Efficient Scheduling of Medical-Data Processing

Critical Success Factors and Traceability Technologies for Establishing a Safe Pharmaceutical Supply Chain

Prioritized scheduling technique for healthcare tasks in cloud computing

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