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28 articles for “Workload Management”
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Adaptive Task Scheduling And Resource Optimization Using Ai Middleware
Abstract: Modern distributed and heterogeneous computing systems face significant challenges in dealing with dynamically changing workloads, resource fragmentation, and changing latencies; existing traditional, or rule-based, schedulers are no longer useful in achieving the best system performance. Such limitations highlight the importance of the adaptive scheduling paradigms that are able to learn, to forecast and reaction to the real red conditions in the system. The middleware of artificial-intelligence is also an attractive …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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Carbon-Aware Autonomous AI Systems: Reinforcement Learning for Sustainable Cloud and Edge Computing
Abstract: The field of communication and information technology is expanding quickly. Because of this, a significant amount of carbon emissions are produced by cloud data centres and edge computing nodes. In fact they are now responsible for 3 to 4 percent of the worlds total greenhouse gas emissions. Most of the time people who manage these resources focus on how they are working and how quickly they can get things done.. …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 2, 2026 Read article
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Stone Crusher Infrastructure Webpage
Abstract: Stone Crusher Infrastructure’s website is primarily dedicated to creating an online website for personal business. The project focuses on commercial lithotripsy, utilizing the Flutter Framework and Dart to create a powerful and user-friendly digital platform. The project focuses on simplifying lithotripsy operations, improving user experience, and improving business connections. The crusher industry plays an important role in construction and infrastructure by providing the necessary materials for various projects. This web …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 30–35 Read article
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The Influence of Data Analytics on Sports Performance
Abstract: Data analytics has drastically changed how we evaluate, improve, and maintain athletic performance. Coaches used to use subjective observations as well as only limited numbers of statistics to consider player performance; however, tracking technology is now advancing at a fast pace. There are now very large amounts of real-time data available on athletes in regards to speed, movement patterns, fatigue, efficiency, etc. This enables all teams to more accurately make …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 15–21 Read article
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IoT-Based Automated Medication Management System
Abstract: An Internet of Things (IoT)-based automated medication dispenser with an integrated alert system is presented in this research. The device is managed by an ESP32 microcontroller, which is paired with a Real-Time Clock (RTC) module to ensure medication is dispensed at the correct time. To facilitate the dispensing process, the system uses servo and stepper motors to rotate the medication carousel and release the appropriate dosage. To determine whether the …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 16–21 Read article
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BVC Edupay – Smart College Fee Payment System
Abstract: Fee management has become a crucial component of modern educational institutions, with increasing reliance on digital platforms to handle financial transactions and administrative processes. However, students and staff often encounter challenges such as scattered fee information, manual verification procedures, delayed payment updates, and limited transparency across departments. To address these issues, BVC EduPay – Smart College Fee Payment System is developed as a centralized digital platform that consolidates academic fees, …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 Read article
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Approximation-Aware Computation for Graceful QoS Degradation in Modern Multiprocessor Operating Systems
Abstract: Modern multiprocessor operating systems face unprecedented challenges in maintaining Quality of Service (QoS) guarantees under dynamic workload conditions and resource constraints. Traditional approaches to resource management often result in abrupt service degradation or complete task failure when system resources become scarce. This study presents a comprehensive framework for approximation-aware computation that enables graceful QoS degradation in multiprocessor environments. We explore the integration of approximate computing paradigms with operating system schedulers, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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Fingerprint-Based Attendance Monitoring System Using Arduino
Abstract: This system uses Arduino to enable an attendance monitoring system through the use of fingerprints. The system guarantees effective, safe and automated recording of attendance with biometric scanning. It lessens mistakes because of automatic marking, keeps absentee proxies out and reports the final results instantly. When a fingerprint scan is successful, the system automatically records attendance by comparing it with biometric data that has been recorded. Effective monitoring and reporting …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 9–16 Read article
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Energy performance analysis: An exploratory study of HVAC systems in efficient management of data centres
Abstract: Data center growth is being driven by the rapid proliferation of cloud services. Data centers are using an increasing amount of energy. The network is severely impacted by server workloads, cooling, and supporting equipment. The study aims to identify the energy consumption involved in building services and their operations and analyze the ways in efficient management of performance in data center. The objective of the study is to identify the …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 1, Issue 2, 2023 · pp. 51–71 Read article
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An Adaptive Approach for Real-Time Embedded System Design, Analysis and Optimization
Abstract: Real-time embedded systems are critical components in various domains, such as automotive, aerospace, healthcare, and industrial automation. The design, analysis, and optimization of these systems are vital to ensure their reliable and efficient operation. In this paper, we propose an adaptive approach for real-time embedded systems that aims to address the challenges faced during the development process while maintaining high-quality results. Our approach leverages adaptive techniques to dynamically adjust the …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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An Investigative Study on Cache-Oblivious Data Structures
Abstract: Cache-oblivious data structures and data management systems have emerged as critical components in modern computing environments, aiming to optimize memory access patterns across different levels of the memory hierarchy without explicit knowledge of cache sizes or configurations. This study presents an overview of cache-oblivious techniques, including adaptive data structures, compression, parallel processing, and security considerations. The workexplores future directions in cache-oblivious systems, such as non-volatile memory support, graph processing, edge …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 33–37 Read article
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Care Sched: Doctor and Patient Appointment Management
Abstract: The medical appointment system is a web application that uses PHP, JavaScript, and CSS to improve the efficiency of booking medical appointments. It features two interfaces: an admin side where patients and doctors manage their appointments and a user side where they may handle an appointment and to view records, and manage their medicines. The web platform that the system makes available provides a convenient online experience from any internet-enabled …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article
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A Meta-Analysis of the Role of Serverless Computing Models in Modern e-Healthcare Systems
Abstract: The integration of serverless computing models in e-healthcare systems represents a paradigm shift in healthcare technology infrastructure. This meta-analysis examines the role, benefits, and challenges of serverless architectures in modern healthcare applications, focusing on studies published between 2019 and 2025. Serverless computing offers unprecedented scalability, cost-efficiency, and operational flexibility, making it particularly suited for healthcare applications handling variable workloads such as medical imaging processing, real-time patient monitoring, and electronic health …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 49–58 Read article
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Cloud-based Application Development and Optimization
Abstract: As cloud computing powers today’s applications, optimizing cloud-based development is crucial to achieve performance, cost effectiveness, and scalability. This research focuses on enhancing the design, deployment, and maintenance of cloud applications, tackling challenges in resource management, scalability, and resilience. We specifically explore dynamic resource allocation algorithms that use predictive analytics for auto-scaling based on workload variations, aiming to cut costs while preserving high performance. The study also investigates cross-cloud optimization …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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Application of B-trees for Design of Optimal Page Replacement Technique in Modern Operating Systems
Abstract: Algorithms related to replacing the memory pages in operating systems are critical components of modern operating systems that manage virtual memory efficiently. Current algorithms such as LRU (Least Recently Used), Clock algorithms as well as FIFO (First-In-First-Out), often struggle with the increasing demands of contemporary applications and larger memory hierarchies. This research work proposes a novel approach utilizing B-tree data structures to design an optimal page replacement technique. The proposed …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 23–30 Read article
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Advanced Collaboration and Project Management Platform
Abstract: The growing dependence of employees on remote and hybrid working modes worldwide has driven a demand for modern collaborative platforms to optimize project management. All organizations are keen on solutions that enhance workflow efficiency, facilitate seamless communications, and boost overall productivity. The study presents an advancement in project management collaboration and aims at finding solutions to meet those demands, using API integration. The study explores the extent to which API …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 11–18 Read article
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Work–Life Balance Among Professional Nurses – A Mixed Methods Study
Abstract: Background & Objectives: Work–life balance (WLB) is an essential component of nurses’ psychological well-being and professional effectiveness. Nurses in India frequently experience heavy workloads, shift duties, and emotional strain that disrupt personal–professional harmony. This study aimed to assess the level of WLB among professional nurses, determine its association with coping practices, and explore their lived experiences in managing work and personal responsibilities across healthcare settings. Methods: A mixed-methods descriptive design …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 · pp. 21–30 Read article
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A Study on High-Risk Pregnancy and Its Management: Role of Obstetric Nurses in Improving Maternal and Fetal Outcomes
Abstract: High-risk pregnancy is a major challenge in maternal and neonatal healthcare and is associated with increased morbidity and mortality among mothers and new-borns, particularly in developing regions where access to quality healthcare services remains uneven, this article examines the concept, classification, risk factors, pathophysiology, and management of high-risk pregnancy with a strong focus on the role of obstetric nurses in improving maternal and fetal outcomes, obstetric nurses play a central …
Published in International Journal of Midwifery Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 26–43 Read article
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Optimizing Multi-Cloud Infrastructure: Advanced Bash-Based Automation for Automated Security Patching and Health Monitoring in Hybrid Linux Environments
Abstract: The proliferation of multi-cloud and hybrid Linux environments has introduced significant operational complexity, particularly in maintaining security compliance and system reliability across diverse infrastructure silos. Traditional patch management approaches, relying on manual interventions or disparate vendor-specific tools, suffer from latency, configuration drift, and limited visibility. This article presents a novel, lightweight automation framework constructed entirely in advanced Bash scripting to address automated security patching and real-time health monitoring across hybrid …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 Read article