Relevant bibliographies by topics / Multilevel feedback queue

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Academic literature on the topic 'Multilevel feedback queue'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Multilevel feedback queue"

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Gupta, Amit Kumar, Narendra Singh Yadav, and Dinesh Goyal. "Design and Performance Evaluation of Smart Job First Multilevel Feedback Queue (SJFMLFQ) Scheduling Algorithm with Dynamic Smart Time Quantum." International Journal of Multimedia Data Engineering and Management 8, no. 2 (2017): 50–64. http://dx.doi.org/10.4018/ijmdem.2017040106.

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Multilevel feedback queue scheduling (MLFQ) algorithm is based on the concept of several queues in which a process moves. In earlier scenarios there are three queues defined for scheduling. The two higher level queues are running on Round Robin scheduling and last level queue is running on FCFS (First Come First Serve). A fix time quantum is defined for RR scheduling and scheduling of process depends upon the arrival time in ready queue. Previously a lot of work has been done in MLFQ. In our propose algorithm Smart Job First Multilevel feedback queue (SJFMLFQ) with smart time quantum (STQ), th
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Candra Pamungkas, Angga Riyandi Saputra, Aditya Ramadhan, Alif Kurniawan, Naufal Abi Pratama, and Wishnu Rindra. "Pernerapan Algoritma Multilevel Feedback Queue (MFQ) & First In First Out (FIFO) pada Studi Kasus di Toko Bunga ARTHA PUSPA." JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital 2, no. 2 (2023): 192–98. http://dx.doi.org/10.55123/jumintal.v2i2.2402.

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Artha Puspa is a flower shop in Madiun which sells plant needs. This very rapid business development encourages every entrepreneur to create a form that is different from other businesses, one of which is the Arta Puspa Flower Shop, a common problem that is often experienced by Artha Puspa, namely direct purchase queues and orders. With that we use a combination of MFQ and FIFO. The application of a combination of Multilevel Feedback Queue (MFQ) and First In First Out (FIFO) algorithms is a strategy that can be used to manage processes that occur in computer systems. MFQ is a scheduling algori
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Raheja, Supriya, Reena Dadhich, and Smita Rajpal. "Designing of vague logic based multilevel feedback queue scheduler." Egyptian Informatics Journal 17, no. 1 (2016): 125–37. http://dx.doi.org/10.1016/j.eij.2015.09.003.

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Artia, Fransiska, I Gede Maha, M. Rakhmat Dramaga, and Aqwam Rosadi Kardian. "Implementasi Algoritma Penjadwalan Multilevel Feedback Queue pada Aplikasi Berbasis Flutter." JURNAL MAHAJANA INFORMASI 8, no. 2 (2023): 55–63. http://dx.doi.org/10.51544/jurnalmi.v8i2.4643.

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Application development has experienced a shift towards a cross-platform approach, where developers can write code once for multiple platforms. Flutter, as a fast-growing cross-platform framework with a wide community is one of the most popular cross-platform frameworks today. However, along with that, there is an increase in application complexity which makes the concept of multitasking very important. This article proposes the implementation of the Multilevel Feedback Queue (MLQ) scheduling algorithm in Flutter applications, which can help manage tasks and improve application efficiency. Thi
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M, Arunachalam, and Rajamani V. "MULTILEVEL FEEDBACK QUEUE WAVELENGTH ASSIGNMENT ALGORITHM IN SURVIVABLE OPTICAL WDM NETWORKS." ICTACT Journal on Communication Technology 02, no. 04 (2011): 433–37. http://dx.doi.org/10.21917/ijct.2011.0060.

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Luis William C. Meing. "Exploring Multilevel Feedback Queue Combinations and Regression-Based Time Quanta in Scheduling Algorithms." Journal of Information Systems Engineering and Management 10, no. 6s (2025): 56–66. https://doi.org/10.52783/jisem.v10i6s.699.

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Much like day-to-day life, scheduling methods have roles in managing what to do and how much time or resources to invest. Multilevel Feedback Queues (MLFQ) are a widely used algorithm due to its capacity to handle a wide range of task types and execution times. There is increasing interest in exploring dynamic scheduling models that can adapt to live variables solved by machine learning. This study explores an approach to process scheduling by integrating linear regression into the dynamic adjustment of round robin time quanta within MLFQ systems. This paper identifies system resources that ca
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Dhruva, R. Rinku, and AshaRani M. "Reinforcement learning based multi core scheduling (RLBMCS) for real time systems." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1805–13. https://doi.org/10.11591/ijece.v10i2.pp1805-1813.

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Embedded systems with multi core processors are increasingly popular because of the diversity of applications that can be run on it. In this work, a reinforcement learning based scheduling method is proposed to handle the real time tasks in multi core systems with effective CPU usage and lower response time. The priority of the tasks is varied dynamically to ensure fairness with reinforcement learning based priority assignment and Multi Core MultiLevel Feedback queue (MCMLFQ) to manage the task execution in multi core system
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Rinku, Dhruva R., and M. AshaRani. "Reinforcement learning based multi core scheduling (RLBMCS) for real time systems." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1805. http://dx.doi.org/10.11591/ijece.v10i2.pp1805-1813.

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Embedded systems with multi core processors are increasingly popular because of the diversity of applications that can be run on it. In this work, a reinforcement learning based scheduling method is proposed to handle the real time tasks in multi core systems with effective CPU usage and lower response time. The priority of the tasks is varied dynamically to ensure fairness with reinforcement learning based priority assignment and Multi Core MultiLevel Feedback queue (MCMLFQ) to manage the task execution in multi core system.
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Ardani, Rega Listya, and Asrul Sani. "DESIGNING AN ANDROID-BASED FUTSAL BOOKING APP USING FCFS AND MULTILEVEL FEEDBACK QUEUE ALGORITHMS." Jurnal Pilar Nusa Mandiri 20, no. 2 (2024): 155–64. http://dx.doi.org/10.33480/pilar.v20i2.5778.

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The improvement of data innovation has affected the advancement of human life, moving from ordinary strategies to present day computerized strategies. One application of data innovation in everyday life is online planning and booking. This investigate points to design an Android-based futsal field booking application utilizing the Primary Come To begin with Serve (FCFS) and Multilevel Input Line (MLFQ) calculations.This application is expected to energize clients in making futsal field reservations viably and effectively. The modify strategy utilized in this ask generally is Remarkable Program
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Wahyu Prasetyo, Tri, Wiharto , -, and Afrizal Doewes. "Pemodelan Penjadwalan Multilevel Feedback Queue Menggunakan Dynamic Time Quantum Pada Kasus Pemesanan Makanan di Restoran." Jurnal Teknologi & Informasi ITSmart 4, no. 2 (2016): 92. http://dx.doi.org/10.20961/its.v4i2.1772.

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Book chapters on the topic "Multilevel feedback queue"

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Raheja, Supriya, Reena Dadhich, and Smita Rajpal. "Fuzzy Based Multilevel Feedback Queue Scheduler." In Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2529-4_39.

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Chouhan, Dharamendra, S. M. Dilip Kumar, and B. P. Vijaya Kumar. "Multilevel Feedback Queue Scheduling Technique for Grid Computing Environments." In Advances in Intelligent Systems and Computing. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-0740-5_1.

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Bansal, Nikhil. "Multilevel Feedback Queues." In Encyclopedia of Algorithms. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_249.

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Bansal, Nikhil. "Multilevel Feedback Queues." In Encyclopedia of Algorithms. Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27848-8_249-2.

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Gupta, Amit Kumar, Narendra Singh Yadav, and Dinesh Goyal. "Design and Performance Evaluation of Smart Job First Multilevel Feedback Queue (SJFMLFQ) Scheduling Algorithm With Dynamic Smart Time Quantum." In Research Anthology on Advancements in Quantum Technology. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8593-1.ch005.

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Multilevel feedback queue scheduling (MLFQ) algorithm is based on the concept of several queues in which a process moves. In earlier scenarios there are three queues defined for scheduling. The two higher level queues are running on Round Robin scheduling and last level queue is running on FCFS (First Come First Serve). A fix time quantum is defined for RR scheduling and scheduling of process depends upon the arrival time in ready queue. Previously a lot of work has been done in MLFQ. In our propose algorithm Smart Job First Multilevel feedback queue (SJFMLFQ) with smart time quantum (STQ), th
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Conference papers on the topic "Multilevel feedback queue"

1

Thombare, Malhar, Rajiv Sukhwani, Priyam Shah, Sheetal Chaudhari, and Pooja Raundale. "Efficient implementation of Multilevel Feedback Queue Scheduling." In 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2016. http://dx.doi.org/10.1109/wispnet.2016.7566483.

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Dwivedi, Sanjay K., and Ritesh Gupta. "A simulator based performance analysis of multilevel feedback queue scheduling." In 2014 International Conference on Computer and Communication Technology (ICCCT). IEEE, 2014. http://dx.doi.org/10.1109/iccct.2014.7001516.

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Mulder, David, Joseph Ssempala, Todd Walton, et al. "Impact of Quantum Values on Multilevel Feedback Queue for CPU Scheduling." In 2020 Intermountain Engineering, Technology and Computing (IETC). IEEE, 2020. http://dx.doi.org/10.1109/ietc47856.2020.9249188.

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Rezaee, Ali, Sahar Adabi, Amir Masoud Rahmani, and Sepideh Adabi. "A fuzzy algorithm for adaptive multilevel queue management with QoS feedback." In Simulation (HPCS). IEEE, 2011. http://dx.doi.org/10.1109/hpcsim.2011.5999815.

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Kashif, Muhammad, Rab Nawaz, Riries Rulaningtyas, Shuaib Iqbal, and Aisha Zulfiqar. "Multilevel feedback queue: Efficient scheduling and implementation by using dynamic quantum." In THE 8TH INTERNATIONAL CONFERENCE AND WORKSHOP ON BASIC AND APPLIED SCIENCE (ICOWOBAS) 2021. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0106240.

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Hoganson, Kenneth, and Joseph Brown. "Real-time scheduling with MLFQ-RT multilevel feedback queue with starvation mitigation." In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC). IEEE, 2017. http://dx.doi.org/10.1109/ice.2017.8279883.

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Killen, Spencer, Evan Giese, Huy Huynh, and Indratmo. "Marble MLFQ: An educational visualization tool for the multilevel feedback queue algorithm." In 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, 2017. http://dx.doi.org/10.1109/iemcon.2017.8117201.

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Hoganson, Kenneth E. "Multi-core real-time scheduling in multilevel feedback queue with starvation mitigation (MLFQ-RT)." In ACM SE '18: Southeast Conference. ACM, 2018. http://dx.doi.org/10.1145/3190645.3190668.

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Hoganson, K., and J. Brown. "Intelligent Mitigation in Multilevel Feedback Queues." In ACM SE '17: SouthEast Conference. ACM, 2017. http://dx.doi.org/10.1145/3077286.3077319.

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