مطالب مرتبط با کلیدواژه

Scalability


۱.

Enhancing Privacy and Efficiency Techniques in Federated Learning Systems: Applications in Healthcare, Finance, and Smart Devices(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Information Technology Management , Volume ۱۷, Special Issue on SI: Intelligent Security and Management, ۲۰۲۵ 45 - 62

کلیدواژه‌ها: Federated Learning (FL) Privacy Enhancement Adaptive Federated Optimization Heterogeneity Scalability Federated Averaging

حوزه‌های تخصصی:
تعداد بازدید : ۶۷ تعداد دانلود : ۵۶
Federated Learning (FL) has emerged as a revolutionary technique for distributed machine learning for training a model on shared data without sharing the data itself. Nevertheless, privacy-related concerns and scalability difficulties remain a problem. This paper discusses the state-of-the-art works to improve the privacy and convergence at FL frameworks for targeted healthcare and financial applications, as well as smart devices. It focuses on methodologies that preserve user privacy, such as differential privacy, homomorphic encryption, secure multi-party computation, and methods that enhance the model’s efficiency, including model compression, communication optimization, and adaptive optimization algorithms. To overcome these challenges, this study helps in the future design of FL systems for vital domains with high scalability.
۲.

Blockchain Beyond Cryptocurrency: Emerging Applications in Secure Data Sharing(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 205 - 232

کلیدواژه‌ها: Blockchain Secure Data Sharing Decentralization Data Integrity cryptocurrency Healthcare Finance Supply Chain Management immutability Scalability

حوزه‌های تخصصی:
تعداد بازدید : ۱۰ تعداد دانلود : ۸
Background: Blockchain, mainly known for supporting cryptocurrencies, has a much broader role, as seen in this paper. These fundamental features of decentralization and immutability guarantee improved security and transparency in multiple spheres of human life. Objective: The article seeks to review current literature on new prospects of using blockchain as a secure way of sharing data with the purpose of establishing its advantages and disadvantages in this field. Methods: Relevant academic articles and papers published in the last 5 years were considered, and research cases of blockchain applications in numerous fields including healthcare, finance, supply chain, etc. This incorporates a review of blockchain within the capacity of data integrity, confidentiality, and availability. Results: The results show that blockchain can greatly improve the security and credibility of data in data sharing by reducing common vulnerability and offering reliable traceability. The technology ensures safe transactions of data and minimizes the possibilities of manipulation of data in fields which involve sensitive data processes. Conclusion: Opportunities for the blockchain for secure data sharing are demonstrated across several industries through current advancements. However, it also has limitations that includes size ability, compatibility and legislation issues which still has to be solved. The study should therefore consider the following recommendations about the barriers outlined above in order to enhance the application of blockchain in secure data sharing in the future.
۳.

Blockchain Technology and Its Impact on Transparency, Security, and Efficiency in Supply Chain Management(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 233 - 258

کلیدواژه‌ها: Blockchain Supply Chain Management Transparency Security traceability Smart Contracts decentralized Scalability Data Integrity SCM (Supply Chain Management)

حوزه‌های تخصصی:
تعداد بازدید : ۵ تعداد دانلود : ۴
Background: The length and depth of global supply networks have been rising over time, causing permanent problems in visibility, protection, and performance. Blockchain technology has come out as a disruptive technology to tackle all these problems, by providing decentralized, safe and transparent systems.  Objective: This article examines the use of blockchain technology within the context of supply chain and specifically digs deeper into the area of increased transparency, security and subsequent efficient supply chain transactions. The aim is to show that it is possible to transform resource supply chain operations through blockchain and engender trust amongst stakeholders. Methods: Permissioned blockchain system has been design and implemented using proof of Authority (PoA) consensus algorithm. IoT sensors were deployed to obtain data in real-time, and smart contracts were incorporated to perform the tasks of product evaluation, and payment authorization. The performance of the system was assessed depending on the indicators including the number of transactions per time or volume per time, time taken for each transaction, auditability and workability. Results: The combination of high transaction throughput with low latency made the blockchain system scalable as well as operationally stable. Smart contracts were able to minimize the time taken and mistakes, and improve the integration of IoT in relation to tracing transactions in real time. The system also proved that it had the ability to withstand cyber assaults and no data were compromised.  Conclusion: Based on the analysis of supply chain problems, blockchain technology can be used to transform supply chain management. Furthermore, more studies should be done on the future compatibility of the usage of such a system with new technology trends and also its implementation in multiple regions supply chain to harness this valuable system.
۴.

Cloud-Native Architectures: Transforming Enterprise IT Operations(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 259 - 286

کلیدواژه‌ها: cloud-native enterprise IT Scalability microservices containers serverless Operational Efficiency business agility Digital Transformation IT operations

حوزه‌های تخصصی:
تعداد بازدید : ۱۳ تعداد دانلود : ۸
Background: The cloud-native architectures have reinvented the original strategies of the companies’ IT infrastructure approach and became popular due to the concepts of modularity, scalability, and resilience. These architectures respond to the shortcomings of the monolithic architectures to meet the new business challenges and workloads, including embracing innovation technologies like Artificial Intelligence and big data processing solutions. Objective: This study was designed with the objective of assessing the performance and business viability of cloud-native systems, based on critical indicators such as availability, resilience to failure, resource use, and compatibility with innovative technologies. The objective was to define the barriers and possibilities for improving cloud native architectures in various enterprises. Methods: A cross-sectional research, consideration, experiment test and case study and performance analysis. Response time, CPU and memory consumption and recovery time were compared across the range of throughput from 1000 to 12000 requests per second. To enhance the interpretational framework, key usage scenarios in the three sectors of healthcare, retail and finance were collected and compared with the results. Results: Cloud-native systems proved to provide high availability rates (> 99.9%), resource scalability, and component resource efficiency. With the use of AI in combination with big data analytics, improvement in performance was realized. But some of the problems that were seen include vendor lock, integration issues, and fluctuating peak load issues. Conclusion: All identified improvements signify the potential of cloud-native architectures for improving enterprise IT functioning. It is thus possible to continue perfecting the identified challenges to enhance their effectiveness, optimal for the current dynamic digital environment.
۵.

Integrating IoT, Artificial Intelligence, and Blockchain Technologies for the Development of Smart Networks(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 341 - 367

کلیدواژه‌ها: Internet of Things (IoT) artificial intelligence (AI) Blockchain Smart Networks Data Integrity Network Optimization Decentralization Scalability Energy Efficiency smart cities

حوزه‌های تخصصی:
تعداد بازدید : ۸ تعداد دانلود : ۶
Background: IoT Smart networks are the latest creation of smart technology where Internet of Things, Artificial Intelligence, and Blockchain technologies have merged. Such technologies have the possibility of increasing performance, security and the degree of expansion in different fields like smart city, health and manufacturing. As it is, there are several issues that organisations continued to encounter when implementing both these systems in order to address diversified network requirements. Objective: The study aims to define how IoT, AI, and Blockchain technologies can be integrated to develop smart networks and how their integration will address the issues of performance, data integrity, and resource utilization in smart networks. Methods: The solution consisted of three components: IoT for instant data gathering, AI for modeling and efficient traffic control, Blockchain for secure data storage. Analyses of various objectives such as data throughput, latency, energy consumption, and security were conducted for smart city applications through simulations. Results: The linked matrix obtained a 45% increase in data transfer rate, a 40% cut in response time and a 50% enhancement of power utilization compared to other systems. Purchases made using blockchain were correct to the last digit, achieved with a success rate of 99.9%, and there were no cases of hacking. AI algorithms minimized congestion levels of the network by 55%, and IoT devices remained available 98% of the time. Conclusion: The incorporation of the IoT, AI and Blockchain enhances the effectiveness and assures the stability of smart networks greatly. From these findings, there is a significant potential for broad utility thus the need for research on the scale, integration, and testing of these in practice.
۶.

Next-Gen Machine Learning Models: Pushing the Boundaries of AI(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 435 - 464

کلیدواژه‌ها: Next-gen machine learning artificial intelligence (AI) transformer models reinforcement learning (RL) neural architecture search (NAS) Quantum Computing model interpretability cross-domain tasks Automation Scalability

حوزه‌های تخصصی:
تعداد بازدید : ۹ تعداد دانلود : ۶
Background: Machine learning (ML) has developed significantly over the years, changing several industries through the use of automation and Big Data. By building better next-generation machine learning models, AI’s future has the potential of improving on existing problematic methods such as scalability, interpretability, and generalization. Objective: This article examines about how new generation of ML models are developed and used to explain about the capabilities of AI in different fields. In particular, it is focused on changes in structural models, certain methods of training them, and the application of brand-new technologies as quantum computing. Methods: A review of the state of the art and several case studies were carried out with regard to the latest work being done on different types of ML algorithms such as transformer models, reinforcement learning, and Neural Architecture Search. Moreover, the given models were tested in experiments concerning the applicability of these models in tasks including image recognition, natural language processing, and in autonomous systems. Results: The next-gen models, thereby outperformed the traditional models in terms of accuracy, computational speed, and flexibility. The identified benefits were decreased training time, better interpretability, and better performance with multi-modal and cross-domain tasks. Conclusion: These new generation of ML models are the game changers in AI development solving previous challenges while providing opportunities across numerous sectors. In this vein, further research in this field is needed to achieve AI’s solving of problems.
۷.

The Role of Edge Computing in Enhancing IoT Performance in 2025(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 525 - 549

کلیدواژه‌ها: edge computing Internet of Things (IoT) latency reduction Bandwidth Optimization Real-Time Data Processing Cloud Computing Scalability Network Congestion IoT Performance 2025 Technology Trends

حوزه‌های تخصصی:
تعداد بازدید : ۱۰ تعداد دانلود : ۱۱
Background: The growth of the number of connected devices and the extent of Internet of Things (IoT) integration has led to new and emerging needs such as the management of big data, real-time reaction, efficient bandwidth utilization, and security considerations. Due to the intrinsic latency, network load and argue of scalability, standard cloud computing models do not suffice these requirements. In response to this, edge computing the function of analyzing data closer to its source hence leading to performance gains. Objective: This article explores the impact of incorporating edge computing in the optimization of IoT systems specifically in aspects like latency minimization, bandwidth utilization, security, processing capability, flexibility in expansion, and data reliability. Methods: A combined computational model was used to mimic edge and cloud platforms. Performance metrics were evaluated under three primary IoT scenarios: traffic management of smart cities, industrial applications, and health care management applications. Regression models and confidence intervals also provided general support to the findings. Results: The findings showed edge computing to be a more effective substitute for cloud-based systems; proving that latency can be reduced by 82%, and data bandwidth by 65-68%. Perennial threats including interception of data were cut by 50-66% while processing was done at 73% higher efficiency. Other criteria such as scalability and data consistency also pointed out the application of edge computing for resilience in more extensive IoT environment. Conclusion: Essentially, edge computing helps overcome limitations of cloud-based IoT systems, and is therefore imperative to real-time, secure, and scalable IoT. Future work should consider the integration of hybrid edge-cloud models, self-healing schemes, and more robust rigorous security solutions in order to fine-tune its applicability.
۸.

The Role of Software-Defined Networking (SDN) in Modern Telecommunications(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 551 - 582

کلیدواژه‌ها: Software-Defined Networking (SDN) telecommunications 5G IoT Network Management Scalability latency reduction Bandwidth Optimization control plane data plane

حوزه‌های تخصصی:
تعداد بازدید : ۸ تعداد دانلود : ۳
Background: Software-Defined Networking (SDN) is widely considered a new paradigm shift in today’s telecommunication evolving method of centralized control, program interface, and dynamic resource configuration. Members of such a network can be reached through single-hop or multi-hop communication and is, however, still faced with inexhaustible challenges in scalability, security, energy consumption as well as Quality of Service (QoS). Objective: Specifically, the article will seek to compare both SDN enabled network as well as legacy networks as regards to established parameters like scalability, security, power consumption, traffic control and path finding. The research aims to fill these gaps by employing state-of-art methods and offer useful recommendations of SDN implementation. Methods: Both simulation and analytical modeling were used to evaluate the proposed SDN architectures under different loads. Metrics were assessed with the congestion control based on the neural network, optimization involved the multiple objectives, and security assessment via game theory. Analyses for statistical significance further supported the performance enhancements determined. Results: The results show 44% improved latency, 33% better energy consumption, and better load balancing in SDN-enabled network. Neural network-based mechanisms were able to reroute 95% of the time under low traffic conditions, while distributed controller-based strategy had high scalability and security. Conclusion: This study points to the capacity of SDN to revolutionize the contemporary telecommunication with strong techniques for comprehensive problems. For the future work it is recommended to conduct validations in operational conditions, and include underdevelopment technologies into the system hierarchy to improve its flexibility and operation characteristics.
۹.

Quantum Key Distribution Protocols for Enhancing Cryptographic Resilience in Next-Generation 5G Network Infrastructures(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 797 - 829

کلیدواژه‌ها: Quantum cryptography QKD PQC Hybrid Cryptography Quantum Computing Post-Quantum Security Scalability Quantum Threats Cryptographic Vulnerabilities Resource Optimization

حوزه‌های تخصصی:
تعداد بازدید : ۹ تعداد دانلود : ۴
  Background: Quantum computing has posed a profound threat to the classical cryptographic systems as it is advancing at an exponential rate with the help of quantum algorithms like Shor’s and Grover’s which can easily decipher the Rivest–Shamir–Adleman (RSA) and Elliptic Curve Cryptography (ECC) algorithms. Huge requirements for cryptographic frameworks that can withstand quantum hacking have inspired Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC), and systems that use both. Objective: The aim of this article is to review the performance, scalability and integration of quantum-secure cryptographic services, with a practical lens on how they can be used in real-time environments like self-driving cars, industrial IoT, and intelligent health systems. It also aims at establishing the drawback of the current model and directions for further enhancement. Methods: The study employs simulative experimentation to understand lest exposures to quantum algorithms and rates cryptographic systems on standards such as latency, Quantum Bit Error Rate (QBER), computational overhead, scalability, and cost. Comparative assessment furniture integrated analysis of QKD, PQC, and hybrid system by identifying the advantages and disadvantage of each system. Results: As a result, adopting hybrid systems provided the best or comparable median results with lowest latency in real-time applications of ~45 ms or lower compared to alternative Multi-Access Edge Computing (MEC) architectures and types of security elements at high scalability. Thus, QKD, while being exceptional in security, has the problem of scalability, while PQC had average results on the given parameters. Conclusion : Quantum threats are adequately dealt with by hybrid cryptographic systems as this study has also pointed out. It is seen that initiation to future work may someday distribute resources effectively, expedite PQC standardization, and embrace artificially intelligent network frameworks for flexibility and expansiveness across different networks.
۱۰.

Smart Contracts and Blockchain: Transforming Telecommunications Contracts(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 1341 - 1371

کلیدواژه‌ها: Blockchain Smart Contracts (SC) telecommunications Scalability Quantum-Resistant Cryptography (QRC) AI-Driven Optimization Energy Efficiency 5G networks Internet of Things (IoT) Decentralized Systems

حوزه‌های تخصصی:
تعداد بازدید : ۵ تعداد دانلود : ۴
Background: Smart contract is defined as a self-executing contract that runs on the distributed ledger technology, called block chain and has attracted much attention as a promising application for improving efficiency, accountability and reliability in telecommunications and related sectors. But problems like scalability issues, recurrent resource inefficiencies, and threats posed by new quantum computing technologies hinder their broad usage and effectiveness. Solving these problems is crucially important to further development of blockchain systems and to provide for them ongoing stability in complex contexts. Objective: Towards this goal, the current study proposes a comprehensive blockchain framework that incorporates these computational intelligence techniques and quantum-safe cryptography in an effort to address scalability, security, and efficiency issues. This research aims at solving practical problems and identifying the potential applications for blockchain in telecommunication and other fields. Methods: An evidence-based approach including detailed literature reviews, qualitative expert interviews, and simulation studies was adopted. Experimental conditions involved latency, throughput, energy, and scalability factors in order to assess single-photon detection. Telecommunications providers engaged in pilot tests to determine the practical usability of the system. Results: The improvement in the aspects of the system that was proposed were high improvements that were achieved as follows: 75% improvement in scalability, 25% improvement in latency, and the preferred quantum-resistant cryptography. Substantial gain in energy efficiency was estimated to be 40%, while field implementations ensured versatility of the system in the areas that differ from a city or even desert. Conclusion: These findings provide support to the proposition that blockchain systems hold the key to revolutionizing telecommunications. With that, the solution of the critical limitations of this research makes it the basis for further development to maintain blockchain technology secure, scalable, and sustainable in the quantum period.
۱۱.

The Future of Optical Fiber Networks for Speeding Up the Internet of Tomorrow(مقاله علمی وزارت علوم)

نویسنده:
منبع: پژوهشنامه پردازش و مدیریت اطلاعات دوره ۴۰ تابستان ۱۴۰۴ ویژه نامه انگلیسی ۴ (پیاپی ۱۲۵) 1371 - 1401

کلیدواژه‌ها: Optical fiber DWDM internet speed data transmission Scalability Bandwidth 5G IoT Cloud Computing Energy Efficiency

حوزه‌های تخصصی:
تعداد بازدید : ۸ تعداد دانلود : ۴
Background: The availability of advanced digital technology and evolving need for high speed and low latency connections have put pressures on the existing optical fiber networks. New technologies like the Wavelength Division Multiplexing (WDM), Photonic Integrated Circuits (PICs), Mode Division Multiplexing (MDM) and Quantum Communication will be valuable towards the achievement of these demands. Objective: The study examines the capability, expansiveness, and cost-effectiveness of current and emerging optical fiber systems for the development of future Internet technology. The research also seeks to assess these formations to improve data transmission rates, network response time, secure and efficient networks’ solutions. Methods: This is a mixed methods study where both experimental and computational data were collected and analyzed accompanied by theoretical insight. The results that were compared included transmission rate, spectral efficiency, signal integrity and lifecycle costs. Specific work was done on multi-band WDM, PIC-based systems, optical QKD along with simulation studies on large scalable multi-core and mode-division architectures. Results: The article samples acknowledge improved network capabilities with increased transits per watt by 300% in multi-band WDM and reduction of latency levels by employing edge computing. The tested PIC-based systems were shown to be more efficient than the comparable existing systems and quantum communication proved to be reliable method for transmitting data over short to medium distances. Conclusion: Today, it can be stated that the advanced optical fiber technologies are of great value for the construction of high speed, large bandwidth and secure Internet connection. Their integration can reportedly conquer future connectivity issues but new development is required to come over the barriers of deployment and sustainability.