Smart Contract-Enabled Secure Sharing of Health Data for a Mobile Cloud-Based E-Health System

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(6), P. 3970 - 3970

Published: March 21, 2023

Healthcare comprises the largest revenue and data boom markets. Sharing knowledge about healthcare is crucial for research that can help providers patients. Several cloud-based applications have been suggested sharing in healthcare. However, trustworthiness of third-party cloud remains unclear. The dependency problem was resolved using blockchain technology. primary objective this growth to replace distributed system with a centralized one. Therefore, security critical requirement protecting health records. Efforts made implement technology improve sensitive material. existing methods depend primarily on information obtained from medical examinations. Furthermore, they are ineffective continuously produced streams sensors other monitoring devices. We propose trustworthy access control uses smart contracts achieve greater while electronic records among various patients providers. Our concept offers an active resolution secure mobility computing personal potential risks. In assessing models, framework valuation protection approach recognizes increases practicality lightweight architecture, low network expectancy, significant levels concealment.

Language: Английский

---

A survey on the scheduling mechanisms in serverless computing: a taxonomy, challenges, and trends

Cluster Computing, Journal Year: 2024, Volume and Issue: 27(5), P. 5571 - 5610

Published: Feb. 18, 2024

Language: Английский

---

The importance of nature-inspired meta-heuristic algorithms for solving virtual machine consolidation problem in cloud environments

Cluster Computing, Journal Year: 2021, Volume and Issue: 24(3), P. 2673 - 2696

Published: May 4, 2021

Language: Английский

---

A review on job scheduling technique in cloud computing and priority rule based intelligent framework

Journal of King Saud University - Computer and Information Sciences, Journal Year: 2022, Volume and Issue: 34(6), P. 2309 - 2331

Published: April 13, 2022

In recent years, the concept of cloud computing has been gaining traction to provide dynamically increasing access shared resources (software and hardware) via internet. It's not secret that computing's ability supply mission-critical services made job scheduling a hot subject in industry right now. Cloud may be wasted, or in-service performance suffer because under-utilization over-utilization, respectively, due poor scheduling. Various strategies from literature are examined this research order give procedures for planning Job Scheduling techniques (JST) computing. To begin, we look at tabulate existing JST is linked grid The present successes then thoroughly reviewed, difficulties flows recognized, intelligent solutions devised take advantage proposed taxonomy. bridge gaps between investigations, paper also seeks readers with conceptual framework, where an effective technique These findings intended academics policymakers information about advantages more efficient setup. computing, fair most important. We priority-based ensure Finally, open questions raised article will create path implementation strategy.

Language: Английский

---

Task scheduling and VM placement to resource allocation in Cloud computing: challenges and opportunities

Cluster Computing, Journal Year: 2023, Volume and Issue: 26(5), P. 3069 - 3087

Published: July 8, 2023

Language: Английский

---

A priority, power and traffic-aware virtual machine placement of IoT applications in cloud data centers

Journal of Systems Architecture, Journal Year: 2021, Volume and Issue: 115, P. 101996 - 101996

Published: Jan. 14, 2021

Language: Английский

---

A decentralized adaptation of model-free Q-learning for thermal-aware energy-efficient virtual machine placement in cloud data centers

Computer Networks, Journal Year: 2023, Volume and Issue: 224, P. 109624 - 109624

Published: Feb. 15, 2023

Language: Английский

---

A sustainable and secure load management model for green cloud data centres

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Jan. 10, 2023

The massive upsurge in cloud resource demand and inefficient load management stave off the sustainability of Cloud Data Centres (CDCs) resulting high energy consumption, contention, excessive carbon emission, security threats. In this context, a novel Sustainable Secure Load Management (SaS-LM) Model is proposed to enhance for users with CDCs. model estimates reserves required resources viz., compute, network, storage dynamically adjust subject maximum sustainability. An evolutionary optimization algorithm named Dual-Phase Black Hole Optimization (DPBHO) optimizing multi-layered feed-forward neural network allowing estimate usage detect probable congestion. Further, DPBHO extended Multi-objective secure sustainable VM allocation minimize number active server machines, wastage greener SaS-LM implemented evaluated using benchmark real-world Google Cluster traces. compared state-of-the-arts which reveals its efficacy terms reduced emission consumption up 46.9% 43.9%, respectively improved utilization 16.5%.

Language: Английский

---

Towards a semi-supervised ensemble clustering framework with flexible weighting mechanism and constraints information

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 136, P. 108976 - 108976

Published: July 13, 2024

Language: Английский

---

An efficient energy-aware approach for dynamic VM consolidation on cloud platforms

Cluster Computing, Journal Year: 2021, Volume and Issue: 24(4), P. 3293 - 3310

Published: June 16, 2021

Language: Английский

---