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Journal of Operating Systems Development & Trends

E-ISSN: 2454-9355 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Journal of Operating Systems Development & Trends Journal of Operating Systems Development & Trends [2454-9355(e)] is a peer-reviewed hybrid open-access journal launched in 2014 includes, computer operating systems and architecture for multiprogramming, multiprocessing, and time-sharing, resource management, evaluation and simulation; reliability, integrity, and security of data, communications among computing processors, and computer system modeling and analysis.

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Journal Information

Title: Journal of Operating Systems Development & Trends
Abbreviation: joosdt
Issues Per Year: 3 Issues
E-ISSN: 2454-9355
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/JOOSDT
Starting Year: 2014
Subject: Operating Systems Development & Trends
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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joosdt maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Dattatraya Vishnu Kodavade, Professor

D.K.T.E Society’s Textile & Engineering Institute, Ichalkaranji, Maharashtra, India,

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Latest Articles

Ahead of Print

Fortifying the Cloud: AI-Driven Security Paradigms and Evolving Threat Defenses in Modern Cloud Computing

Organizations worldwide are raising their concerns about security maintenance while cloud computing expands rapidly to serve as a digital transformation foundation.

Cloud security, artificial intelligence, anomaly detection, machine learning, threat mitigation, encryption, intrusion detection, CIA triad

ML Model Comparison for Sentiment Analysis Across Diverse Datasets

Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences.

Sentiment analysis, machine learning, text classification, natural language processing, sentiment analysis

IoT-Based Public Toilet Monitoring System

Public restroom maintenance is critical to urban hygiene and requires good resource management to secure hygiene, sustainability, and costs.

Real-time monitoring, public hygiene, ammonia level detection, adaptive lighting, sustainability, resource management, urban infrastructure

Systematic Review of Application of Nature-Inspired Algorithms for Resource Optimization in Multi-Programmed Operating Systems

Multi-programmed operating systems are increasingly confronted with complex challenges in efficiently managing system resources, primarily due to the need to handle numerous concurrent processes with diverse and often conflicting resource demands.

Nature-inspired algorithms, multi-programmed operating systems, resource optimization, CPU scheduling, memory management, load balancing

Hybrid Graceful QoS Degradation in Distributed Operating Systems

Maintaining Quality of Service (QoS) in distributed operating systems is a critical challenge, especially in dynamic and resource-constrained environments.

QoS, adaptive, dynamic, distributed, degradation, performance

Designing Self-Optimizing Operating Systems: Information-Theoretic Approaches to Thread Scheduler Implementation

Thread Level Scheduling (TLS) in multi-core and many-core processor environments represents a critical frontier in next-generation operating system design.

Thread scheduling, operating systems, entropy, information theory, mutual information, OS kernel design