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

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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

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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

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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

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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

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SPP: stochastic process-based placement for VM consolidation in cloud environments

Computing, Journal Year: 2025, Volume and Issue: 107(1)

Published: Jan. 1, 2025

Language: Английский

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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

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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

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Load Balancing Using Artificial Intelligence for Cloud-Enabled Internet of Everything in Healthcare Domain

Sensors, Journal Year: 2023, Volume and Issue: 23(11), P. 5349 - 5349

Published: June 5, 2023

The emergence of the Internet Things (IoT) and its subsequent evolution into Everything (IoE) is a result rapid growth information communication technologies (ICT). However, implementing these comes with certain obstacles, such as limited availability energy resources processing power. Consequently, there need for energy-efficient intelligent load-balancing models, particularly in healthcare, where real-time applications generate large volumes data. This paper proposes novel, energy-aware artificial intelligence (AI)-based load balancing model that employs Chaotic Horse Ride Optimization Algorithm (CHROA) big data analytics (BDA) cloud-enabled IoT environments. CHROA technique enhances optimization capacity (HROA) using chaotic principles. proposed balances load, optimizes available AI techniques, evaluated various metrics. Experimental results show outperforms existing models. For instance, while Artificial Bee Colony (ABC), Gravitational Search (GSA), Whale Defense Firefly (WD-FA) techniques attain average throughputs 58.247 Kbps, 59.957 60.819 respectively, achieves an throughput 70.122 Kbps. CHROA-based presents innovative approach to highlight potential address critical challenges contribute developing efficient sustainable IoT/IoE solutions.

Language: Английский

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A Multidimensional Virtual Resource Allocation Framework With Energy‐Aware Physical Resource Mapping for Green Cloud Computing

Concurrency and Computation Practice and Experience, Journal Year: 2025, Volume and Issue: 37(4-5)

Published: Feb. 28, 2025

ABSTRACT Cloud computing has seen a surge in demand, driven by its scalability and cost efficiency. However, the growing energy consumption of data centers poses significant environmental challenges. This study introduces multidimensional resource allocation model designed to allocate place virtual resources an energy‐efficient manner using combinatorial auction approach. Unlike current approaches, which rely on predefined resources, this allows users request with specific features capacities tailored their workflows. Furthermore, it incorporates flexible bidding language that supports simultaneous requests for multiple logical AND/OR relations. The accommodates various centers, allowing indicate preferred locations. Through optimization problem, identifies most resource‐efficient allocations placements. provides mathematical definition formulation problem. Given complexity explores several heuristic methods, including ant colony genetic algorithms. A test case generator is developed simulate real‐life scenarios. effectiveness proposed solutions assessed through experiments, demonstrating these methods can achieve near‐optimal within reasonable timeframes.

Language: Английский

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