Blockchain-based privacy preservation framework for healthcare data in cloud environment

Journal of Experimental & Theoretical Artificial Intelligence, Journal Year: 2022, Volume and Issue: 36(1), P. 147 - 160

Published: Nov. 21, 2022

The storage of Electronic Health Records (EHRs) on mobile cloud environments has undergone a paradigm shift in recent years, with devices integrating computing to improve medical data transfers between patients and healthcare providers. This sophisticated allows for minimal operational costs, significant flexibility, the use electronic health records (EHRs). However, e-health systems, this new poses concerns regarding privacy network security. It's challenging problem exchange EHRs consistently among users while maintaining high-security levels cloud. Here, paper intends introduce novel blockchain technology secure cloud, which aids ensuring authentication offers integrity records. optimal encryption is deployed via an improved blowfish model that also guarantees features. Further, key generation carried out by approach termed as Elephant Herding Optimization Opposition-based Learning (EHO-OBL). Thus, maintained developed approach, at last, supremacy presented proved concerning various measures. Accordingly, time proposed method attained less value, it was 51.04%, 91.48%, 92.64%, 89.99%, 91.06% 91.48% better than traditional Blowfish, Rivest–Shamir–Adleman (RSA), Advanced Encryption Standard (AES), Elliptic-Curve Cryptography (ECC), (EHO), Moth-Flame (MFO) Whale (WOA) models, file size 10 kb.

Language: Английский

---

A comprehensive survey on container resource allocation approaches in cloud computing: State-of-the-art and research challenges

Web Intelligence, Journal Year: 2022, Volume and Issue: 19(4), P. 295 - 316

Published: Jan. 7, 2022

The allocation of resources in the cloud environment is efficient and vital, as it directly impacts versatility operational expenses. Containers, like virtualization technology, are gaining popularity due to their low overhead when compared traditional virtual machines portability. resource methodologies containerized intended dynamically or statically allocate available pool such CPU, memory, disk, so on users. Despite enormous containers computing, no systematic survey container scheduling techniques exists. In this survey, an outline present works correlative discussed. work, 64 research papers reviewed for a better understanding allocation, management, scheduling. Further, add extra worth performance collected investigated terms various measures. Along with this, weakness existing algorithms provided, which makes researchers investigate novel techniques.

Language: Английский

---

Microservices and serverless functions—lifecycle, performance, and resource utilisation of edge based real-time IoT analytics

Future Generation Computer Systems, Journal Year: 2024, Volume and Issue: 155, P. 204 - 218

Published: Feb. 12, 2024

Edge Computing harnesses resources close to the data sources reduce end-to-end latency and allow real-time process automation for verticals such as Smart City, Healthcare Industry 4.0. are limited when compared traditional Cloud centres; hence choice of proper resource management strategies in this context becomes paramount. Microservice Function a Service architectures support modular agile patterns, monolithic design, through lightweight containerisation, continuous integration / deployment scaling. The advantages brought about by these technologies may initially seem obvious, but we argue that their usage at deserves more in-depth evaluation. By analysing both software development lifecycle, along with performance utilisation, paper explores microservices two alternative types serverless functions build edge IoT analytics. In experiments comparing technologies, generally exhibit slightly better processing utilisation than functions. One excel handling larger streams auto-scaling. Whilst natively offer feature, container orchestration framework determine its availability microservices. other function, while supporting simpler is suitable low-invocation scenarios faces challenges parallel requests inherent overhead, making it less demanding settings.

Language: Английский

---

Containerization and its Architectures: A Study

ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, Journal Year: 2023, Volume and Issue: 11(4), P. 395 - 409

Published: June 5, 2023

Containerization is a technique for lightweight virtualization of programs in cloud computing, which leads to the widespread use computing. It has positive impact on both development and deployment software. Containers can be divided into two groups based their setup. The Application Container System are types containers. A container user-space that contained within another container, while system container. This study compares contrasts several architectures organization micro-hosting environments

Language: Английский

---

Self‐improved moth flame for optimal container resource allocation in cloud

Concurrency and Computation Practice and Experience, Journal Year: 2022, Volume and Issue: 34(23)

Published: July 27, 2022

SUMMARY Resource allocation in the cloud is becoming more complicated and challenging due to rising necessities of services. Effective management virtual resources large significance since it has a great impact on both operational cost scalability environment. Nowadays, containers are popular this regard their characteristics like reduced overhead portability. Conventional resource schemes usually modeled for migration machines (VM), as result; question may arise on, “how these strategies can be adapted containerized cloud”. This work evolves solution issue by introducing new fitness oriented moth flame algorithm (F‐MFA) optimizing containers. Further work, optimal relies certain constraints balanced cluster use, system failure, total network distance (TND), security threshold distance, credibility factor well. In end, supremacy presented model computed conventional models terms convergence analysis.

Language: Английский

---

Improved rider optimization for optimal container resource allocation in cloud with security assurance

International Journal of Pervasive Computing and Communications, Journal Year: 2020, Volume and Issue: 16(3), P. 235 - 258

Published: June 29, 2020

Purpose The containerization application is one among the technologies that enable microservices architectures, which observed to be model for operating system (OS) virtualization. Containers are virtual instances of OS structured as isolation atmosphere and its file system, executed on single kernel a host. Hence, every microservice evolved in container without launching total machine. overhead minimized this way environment maintained secured manner. exploitation easy start execution new container. As result, could scale up by simply generating containers until required scalability level attained. This paper aims optimize allocation. Design/methodology/approach introduces customized rider optimization algorithm (C-ROA) optimizing proposed also considers impact performance along with security. Moreover, rescaled objective function defined work threshold distance, balanced cluster use, failure, network distance security well. At last, compared over other state-of-the-art models respect convergence cost analysis. Findings For experiment 1, implemented at 50th iteration has achieved minimal value, 29.24%, 24.48% 21.11% better from velocity updated grey wolf optimisation (VU-GWO), whale random update assisted LA (WR-LA) (ROA), respectively. Similarly, considering Experiment 2, 100th attained superior than conventional such VU-GWO, WR-LA ROA 3.21%, 7.18% 10.19%, developed 3 2.23%, 5.76% 6.56% ROA. Originality/value presents latest fictional named To best authors’ knowledge, first study uses C-ROA optimization.

Language: Английский

---

Performance comparison of cloud virtual machines

Journal of Systems and Information Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

Purpose The performance of virtual machines (VMs) has an important role in the overall effectiveness deployed IT solutions. Many organizations leverage VMs which run a cloud environment instead traditional on-premises machines. It is therefore to select most suitable provider according VM. This study aims compare running under Microsoft, Amazon and Google, three largest available service providers who offer Infrastructure-as-a-Service. Design/methodology/approach Linux Ubuntu 20.04 LTS distribution was as reference operating system comparisons were accomplished with Phoronix Test Suite, offers hundreds benchmarking tests. For study, 13 relevant tests covering major areas selected. Findings study’s analysis revealed that VM at Web Services (AWS) exceeded Microsoft Azure Google Cloud Platform (GCP). comparison showed AWS platform achieved final score 87% GCP both 77%. Originality/value factor might consider when they provider. provides insight into high-performance methods comparing their performance. delivers significant contribution publicly accessible since no studies date have been published on this topic.

Language: Английский

---

Hybrid metaheuristic technique for optimal container resource allocation in cloud

Computer Communications, Journal Year: 2022, Volume and Issue: 191, P. 477 - 485

Published: April 14, 2022

Language: Английский

---

A microservice architecture for predictive analytics in manufacturing

Procedia Manufacturing, Journal Year: 2020, Volume and Issue: 51, P. 1091 - 1097

Published: Jan. 1, 2020

This paper discusses on the design, development and deployment of a flexible modular platform supporting smart predictive maintenance operations, enabled by microservices architecture virtualization technologies. Virtualization allows to be deployed in multi-tenant environment, while facilitating resource isolation independency from specific technologies or services. Moreover, proposed supports scalable data storage an effective efficient management large volume Industry 4.0 data. Methodologies data-driven are provided user as-a-service, offline training online execution pre-trained analytics models, connection raw contextual information support their understanding interpretation, guaranteeing interoperability across heterogeneous systems. A use case related operations robotic manipulator is examined demonstrate effectiveness efficiency platform.

Language: Английский

---

Resource Based Automatic Calibration System (RBACS) Using Kubernetes Framework

Intelligent Automation & Soft Computing, Journal Year: 2022, Volume and Issue: 35(1), P. 1165 - 1179

Published: June 6, 2022

Kubernetes, a container orchestrator for cloud-deployed applications, allows the application provider to scale automatically match fluctuating intensity of processing demand. Container cluster technology is used encapsulate, isolate, and deploy addressing issue low system reliability due interlocking failures. Cloud-based platforms usually entail users define resource supplies eco virtualization. There constant problem over-service in data centers cloud service providers. Higher operating costs incompetent utilization can occur waste resources. Kubernetes revolutionized orchestration cloud-native age. It adaptively manage resources schedule containers, which provide real-time status at runtime without user’s contribution. clusters face unpredictable traffic, performs manual expansion configuration by controller. Due operational delays, will become unstable, be unavailable. This work proposed an RBACS that vigorously amended distribution containers entire cluster. allocation pattern analyzed with VPA. To estimate overall cost RBACS, we use several scientific benchmarks comparing accomplishment remote node migration on-site relocation. The experiments ran on simulations show method’s effectiveness yielded high precision deployment containers. Compared default baseline, results much fewer dropped requests only slightly more supplied

Language: Английский

---