Cover of International Journal of Distributed Computing and Technology

International Journal of Distributed Computing and Technology

Computer Science and Engineering ISSN 2455-7307 2 issues a year Hybrid open accessWhat does hybrid open access mean? This journal has two kinds of articles. Open access articles are free for anyone to read; the author pays an article processing charge for that. All other articles are for subscribers. Authors can also publish at no cost under the subscription-based option.

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About the journal

International Journal of Distributed Computing and Technology is a peer-reviewed journal that accepts original research article and review papers pertaining to the scope of the journal. The aim of the journal is to create break free communication link between the research communities. All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance.

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Journal metrics

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  • 26Articles published
  • 6Published in 2026
  • 69Authors
  • 0Open access

Journal information

Title
International Journal of Distributed Computing and Technology
Issues per year
2 issues
E-ISSN
2455-7307
Publisher
JournalsPub
DOI
10.37628/IJDCT
Starting year
2024
Subject
Computer Science and Engineering
Publication format
Hybrid open access
Language
English
Copyright policy
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Type
Peer-reviewed journal (refereed)
Subscription-based publication
No cost. Author copy, DOI and certificate are chargeable.

Editorial board

  • Editor-in-Chief

    Dr. Prakash Bethapudi

    Department of Information Technology, Vignan's Institute of Engineering for Women, India

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Latest articles

  • Published Subscription

    Integrating Machine Learning with Edge Computing for Real Time Data Analytics

    Abstract: Smart devices such as mobile phones, sensors, cameras, etc., are producing a huge amount of data every second. This data is normally sent to cloud servers for processing. This approach is normally slow and expensive, and it also raises a lot of privacy issues as data is sent over the internet, which takes a lot of time to return with results. This study aims to address the issue through the …

    Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 2, 2026 Read article

  • Published Subscription

    AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability

    Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …

    Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article

  • Published Subscription

    Green Computing Strategies for Reducing Energy Consumption and E-Waste in Modern IT Ecosystems

    Abstract: Green computing, also referred to as sustainable computing, addresses the urgent need to reduce the environmental impact associated with the design, operation, and end-of-life management of computing systems. As global reliance on digital technologies continues to expand rapidly, the demand for energy-intensive infrastructure such as data centers, cloud platforms, and network systems has increased significantly. This growth has led to rising energy consumption, higher carbon emissions, and an alarming accumulation …

    Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 7–16 Read article

  • Published Subscription

    Toward Sustainable Intelligence: A Framework for Green AI Adoption

    Abstract: The rapid expansion of Artificial Intelligence has shattered the illusion of the cloud as an ethereal entity, revealing a massive physical infrastructure with a staggering environmental price tag. The traditional Red AI paradigm – where success is measured solely by accuracy through brute-force scaling – has created an unsustainable trajectory. Training a single large-scale model like GPT-3 requires 1,287 MWh of electricity, while the necessary cooling systems evaporate millions of …

    Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 17–23 Read article

  • Published Subscription

    A Study on Securing the Local Area Network with the Immutable Trust of Blockchain

    Abstract: The contemporary Local Area Network (LAN) is the digital circulatory system of the modern enterprise, a vital yet perilously vulnerable ecosystem. Traditional security paradigms, built upon centralized authority models – firewalls, intrusion detection systems, and privileged administrators – increasingly resemble medieval castles in an age of artillery. They present a brittle single point of failure: compromise the center, and the entire kingdom falls. This paper proposes a radical architectural shift, …

    Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 24–35 Read article

  • Published Subscription

    Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models

    Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …

    Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article

  • Published Subscription

    Cloud Security Using Machine Learning: A Study

    Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …

    Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article

  • Published Subscription

    Securing the Edge with Artificial Intelligence, Cyber Defense: Privacy Protocols in Distributed Sensor Networks and Cloud–Fog Ecosystems

    Abstract: In the rapidly developing distributed computing, edge devices, and Internet of Things (IoT) networks are propelling a revolution in intelligence and connection in today’s digital world. Low-latency compute, robust security measures, and privacy-preserving methods are being demanded by the vast number of connected devices and the enormous volume of real-time data they produce. Common and centralized cloud-based solutions are strong, but they use a large dispersed system to handle time-sensitive …

    Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article

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Volume 12 (2026) 6 articles

Volume 11 (2025) 10 articles

Volume 10 (2024) 10 articles

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