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15 articles for “fair scheduling”
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Extending LINUX for Grid Computing
Abstract: The rise of metacomputing and lattice advancements as another pattern in elite figuring, has opened up numerous intriguing issues in the usage of asset sharing, what's more, proficient booking of register concentrated procedures. While much work has been done to manufacture lattice administrations on top of existing framework, little has been done to make the fundamental working framework mindful of these new applications. In the event that expansions for encouraging …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 2, 2016 · pp. 28–31 Read article
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Real-Time Road Traffic Signal Monitoring and Controlling using Blind Scheduling Algorithm
Abstract: We normally see at signals even if there is no vehicle at the other end still the GREEN signal comes. If that time can be utilized for other end where there is more congestion ormore vehicles then the traffic will be easily controlled. The current system is statically controlled signal. Every end is predetermined with a specific time period where it signalsGreen. We are proposing a System that will be …
Published in Journal of Open Source Developments · Vol. 1, Issue 1, 2014 · pp. 5–10 Read article
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Scheduling Parameters and Scheduling Criteria for Thermal Aware Process Scheduler
Abstract: In recent years, as the technology escalated to meet consumer demands for computing, communication and entertainment, the issue of power consumption and heat generation has become a primary concern for the system designers. Today, it is the time to rethink and renovate the technology with the consideration of power consumption and heat generation. This study discusses the cause and adverse effects of heat generation and rise in temperature of processors. …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 1, 2019 · pp. 16–26 Read article
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A Hybrid Algorithm for Processor Scheduling Using Game Theory Variants
Abstract: This study proposes a novel hybrid algorithm for processor scheduling in modern operating systems, integrating the strengths of traditional scheduling methods with game theory variants. Traditional schedulers often struggle to adapt to dynamic workload changes, leading to suboptimal performance. Our hybrid approach addresses this by treating processes as "players" in a game, where the "payoff" is CPU time. A base scheduler (e.g., Weighted Fair Queuing, Earliest Deadline First) provides a …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 48–56 Read article
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Designing Self-Optimizing Operating Systems: Information-Theoretic Approaches to Thread Scheduler Implementation
Abstract: Thread Level Scheduling (TLS) in multi-core and many-core processor environments represents a critical frontier in next-generation operating system design. As computing systems grow increasingly heterogeneous and concurrent, traditional scheduling strategies often rely on heuristics or localized resource metrics, frequently overlooking the deeper, quantifiable relationships and uncertainties inherent in complex concurrent workloads. This study explores the application of information-theoretic approaches, specifically entropy-based task allocation, mutual information-driven dependency analysis, and channel capacity-inspired …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 31–39 Read article
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An Optimised CPU Scheduling Algorithm with Adaptive Time Quantum Approach
Abstract: CPU scheduling is an essential mechanism implemented by the operating system to determine the execution of multiple processes by the CPU. The primary objective of the scheduling algorithms is to optimize the systems’ performance efficiently. The performance of a CPU scheduling algorithm depends on various factors and can be evaluated on various criteria like average turnaround time, average waiting time, throughput, fairness etc. This paper aims to present an optimal …
Published in Journal of Operating Systems Development & Trends Read article
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An Optimised CPU Scheduling Algorithm with Adaptive Time Quantum Approach
Abstract: CPU scheduling is an essential mechanism implemented by the operating system to determine the execution of multiple processes by the CPU. The primary objective of the scheduling algorithms is to optimize the systems’ performance efficiently. The performance of a CPU scheduling algorithm depends on various factors and can be evaluated on various criteria like average turnaround time, average waiting time, throughput, fairness etc. This paper aims to present an optimal …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 2, 2021 · pp. 1–18 Read article
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Dynamic Priority-based Adaptive Scheduling (DPAS) for Modern Operating Systems
Abstract: Dynamic Priority-based Adaptive Scheduling (DPAS) is an innovative CPU scheduling algorithm designed to optimize system performance and resource utilization in modern computing environments. As computing systems become increasingly complex and diverse, traditional static scheduling algorithms often struggle to adapt efficiently to the dynamic nature of workloads. DPAS addresses this challenge by introducing a dynamic and adaptive approach to process prioritization and resource allocation. DPAS leverages real-time feedback, machine learning, and …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 2, 2023 · pp. 6–15 Read article
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VHDL Implementation of Network-on-Chip Router using Round Robin Arbiter
Abstract: As the technology progresses, a large number of devices can be incorporated into a single chip. So, the communication between these devices becomes critical. The network-on-chip (NoC) is a technology used for such communication and overcomes the constraints of traditional bus-based system-on-chip (SoC). Router is the backbone of NoC and determines the performance to a great extent. This paper focuses on the implementation of five port virtual channel router which …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 3, 2016 · pp. 88–93 Read article
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Data Structure Driven Probabilistic Deadlock Resolution in Multiprocessor Systems
Abstract: Deadlock resolution in multiprocessor systems is fundamentally a graph-theoretic and probabilistic decision problem. Existing victim selection heuristics, such as youngest, oldest, and lowest priority, apply static rules that overlook the dynamic runtime state of processes, leading to unnecessary computational loss. This paper reframes the inference-guided preemption (IGP) algorithm as a data-structure-centric solution, highlighting how resource allocation graphs, wait-for graphs, adjacency lists, min-heaps, and hash-based evidence stores interact to enable efficient …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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Application of Proportional-Share with Punishment Principle for Resource Sharing in Parallel Computing Applications
Abstract: Efficient resource-sharing is a cornerstone of high-performance parallel computing. While proportional-share scheduling has long been a foundational approach for distributing resources according to predefined weights, its effectiveness can be compromised by tasks that over-consume their allocated share, leading to system-wide performance degradation and unfairness. This review article investigates the application of the “proportional-share with punishment” (PSWP) principle, a hybrid scheduling paradigm designed to address this challenge. PSWP integrates the flexibility …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 01–08 Read article
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Artificial Intelligence and Personalized Learning
Abstract: Artificial Intelligence is transforming education by delivering customized learning pathways that align with each learner’s unique abilities and areas for improvement. Traditional teaching often struggles to meet individual needs; however, AI-powered systems analyse learning patterns in real time, ensuring customized lessons. Virtual tutors and AI chatbots provide instant feedback and 24/7 support, improving comprehension. Gamified learning, combined with augmented and virtual reality, transforms education into a more engaging and enjoyable …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 11–18 Read article
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Comparative Study of Time Slice Windows Analysis and Impacted As-Planned Analysis for Data Center Construction Projects Using Primavera P6 24.12 Version
Abstract: Data centers are IT infrastructure that needs to be precisely scheduled and coordinated. Significant financial losses and operational failures may result from building delays. Stakeholders can assign blame and comprehend the reasons behind delays with the aid of forensic delay analysis. Because of their unique approaches and legal acceptability, TSWA, and IAPA are commonly used among the many strategies. These methods provide various ways to analyze project schedules and pinpoint …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 33–51 Read article
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HPV Vaccination: Broader Implementation and Development of Next-Generation Vaccines Reduce the Incidence of Cervical Cancer
Abstract: Cervical cancer has been an important health issue of global concern which has almost universally been fuelled by the persistent infection of high-risk Human Papillomavirus (HPV). The most effective way of primary prevention is prophylactic HPV vaccination. The extensive real-world evidence obtained through national immunization programs throughout the world has given unambiguous evidence of the effect of the vaccine as a decline in the incidence of high-grade cervical pre-cancers and …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 · pp. 11–20 Read article
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CiviCare: An AI-Powered Smart Water Governance and Grievance Resolution System for Urban Local Bodies in India
Abstract: Water supply operations in many Indian Urban Local Bodies (ULBs) continue to rely on manual processes that lack transparency, efficiency, and accountability. Citizens often have limited access to information regarding supply schedules, connection status, and billing details. Grievances are frequently reported through informal channels, resulting in poor traceability and lack of resolution assurance. This paper introduces CiviCare, a full-stack AI-enabled web platform designed to digitize and optimize municipal water governance …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 2, 2026 · pp. 15–23 Read article