Relevant bibliographies by topics / FCFM policy

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'FCFM policy'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "FCFM policy"

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Grosof, Isaac, Kunhe Yang, Ziv Scully, and Mor Harchol-Balter. "Nudge: Stochastically Improving upon FCFS." Proceedings of the ACM on Measurement and Analysis of Computing Systems 5, no. 2 (2021): 1–29. http://dx.doi.org/10.1145/3460088.

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The First-Come First-Served (FCFS) scheduling policy is the most popular scheduling algorithm used in practice. Furthermore, its usage is theoretically validated: for light-tailed job size distributions, FCFS has weakly optimal asymptotic tail of response time. But what if we don't just care about the asymptotic tail? What if we also care about the 99th percentile of response time, or the fraction of jobs that complete in under one second? Is FCFS still best? Outside of the asymptotic regime, only loose bounds on the tail of FCFS are known, and optimality is completely open. In this paper, we
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Grosof, Isaac, Kunhe Yang, Ziv Scully, and Mor Harchol-Balter. "Nudge: Stochastically Improving upon FCFS." ACM SIGMETRICS Performance Evaluation Review 49, no. 1 (2022): 11–12. http://dx.doi.org/10.1145/3543516.3460102.

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The First-Come First-Served (FCFS) scheduling policy is the most popular scheduling algorithm used in practice. Furthermore, its usage is theoretically validated: for light-tailed job size distributions, FCFS has weakly optimal asymptotic tail of response time. But what if we don't just care about the asymptotic tail? What if we also care about the 99th percentile of response time, or the fraction of jobs that complete in under one second? Is FCFS still best? Outside of the asymptotic regime, only loose bounds on the tail of FCFS are known, and optimality is completely open. In this paper, we
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Elalouf, Amir, Ariel Rosenfeld, and Ofir Rockach. "The Extended David-Yechiali Rule for Kidney Allocation." Mathematics 11, no. 2 (2023): 331. http://dx.doi.org/10.3390/math11020331.

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The First Come First Served (FCFS) queuing policy is routinely assumed to be the benchmark policy for “fairness” in waiting-time performance. In this article, we propose a slight modification of the FCFS policy based on a natural extension of the well-established David and Yechiali (DY) rule and analyze it in the context of managing a waiting list for kidney transplants. In the proposed policy, the queuing agents are sequentially offered a stochastically arriving organ on a “first come, first served” basis while applying the individually optimal DY stopping rule. Through a realistic simulation
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Wu, Yuanyuan, and Feng Zhu. "Junction Management for Connected and Automated Vehicles: Intersection or Roundabout?" Sustainability 13, no. 16 (2021): 9482. http://dx.doi.org/10.3390/su13169482.

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The concept of signal-free management at road junctions is tailored for Connected and Automated Vehicles (CAVs), in which the conventional signal control is replaced by various right-of-way assignment policies. First-Come-First-Served (FCFS) is the most commonly used policy. In most proposed strategies, although the traffic signals are replaced, the organization of vehicle trajectory remains the same as that of traffic lights. As a naturally signal-free strategy, roundabout has not received enough attention. A key motivation of this study is to theoretically compare the performance of signaliz
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Ogunwolu, L., A. Sosimi, and S. Obialo. "MODELING, OPTIMISATION AND ANALYSIS OF RE-ENTRANT FLOWSHOP JOB SCHEDULING WITH FUZZY PROCESSING TIMES." Nigerian Journal of Technology 36, no. 3 (2017): 806–13. http://dx.doi.org/10.4314/njt.v36i3.21.

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This paper presents a makespan minimization of -jobs -machines re-entrant flow shop scheduling problem (RFSP) under fuzzy uncertainties using Genetic Algorithm. The RFSP objective is formulated as a mathematical programme constrained by number of jobs and resources availability with traditional scheduling policies of First Come First Serve (FCFS) and the First Buffer First Serve (FBFS). Jobs processing times were specified by fuzzy numbers and modelled using triangular membership function representations. The modified centroid defuzzification technique was used at different alpha-cuts to obtai
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Yu, George, and Ziv Scully. "Strongly Tail-Optimal Scheduling in the Light-Tailed M/G/1." Proceedings of the ACM on Measurement and Analysis of Computing Systems 8, no. 2 (2024): 1–33. http://dx.doi.org/10.1145/3656011.

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We study the problem of scheduling jobs in a queueing system, specifically an M/G/1 with light-tailed job sizes, to asymptotically optimize the response time tail. This means scheduling to make \mathbfP [T > t], the chance a job's response time exceeds t, decay as quickly as possible in the t \to \infty limit. For some time, the best known policy was First-Come First-Served (FCFS), which has an asymptotically exponential tail: \mathbfP [T > t] \sim C e^-γ t . FCFS achieves the optimal *decay rate* γ, but its *tail constant* C is suboptimal. Only recently have policies that improve upon F
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Harlev, Amit, George Yu, and Ziv Scully. "A Gittins Policy for Optimizing Tail Latency." ACM SIGMETRICS Performance Evaluation Review 53, no. 1 (2025): 172–74. https://doi.org/10.1145/3744970.3727267.

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We consider the problem of scheduling to minimize asymptotic tail latency in an M/G/1 queue with unknown job sizes. When the job size distribution is heavy-tailed, numerous policies that do not require job size information (e.g. Processor Sharing, Least Attained Service) are known to be strongly tail optimal, meaning that their response time tail has the fastest possible asymptotic decay. In contrast, for light-tailed size distributions, only in the last few years have policies been developed that outperform simple First-Come First-Served (FCFS). The most recent of these is γ-Boost, which achi
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Harlev, Amit, George Yu, and Ziv Scully. "A Gittins Policy for Optimizing Tail Latency." Proceedings of the ACM on Measurement and Analysis of Computing Systems 9, no. 2 (2025): 1–40. https://doi.org/10.1145/3727109.

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We consider the problem of scheduling to minimize asymptotic tail latency in an M/G/1 queue with unknown job sizes. When the job size distribution is heavy-tailed, numerous policies that do not require job size information (e.g. Processor Sharing, Least Attained Service) are known to be strongly tail optimal, meaning that their response time tail has the fastest possible asymptotic decay. In contrast, for light-tailed size distributions, only in the last few years have policies been developed that outperform simple First-Come First-Served (FCFS). The most recent of these is γ-Boost, which achi
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Ni, Ruowei. "The Application and Research of Flight Scheduling Strategies." Highlights in Science, Engineering and Technology 120 (December 26, 2024): 21–25. https://doi.org/10.54097/y6w44r93.

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The rapid development of the aviation industry has increased the complexity and importance of flight scheduling. This paper studies scheduling policies from both temporal and spatial perspectives. Three standard scheduling policies, First Come First Serve policy (FCFS), Small Job First policy (SJF), and Shortest Remaining Processing Time policy (SRPT), are introduced in a modularized form. In this paper, we explore the roles of the three policies in dealing with different scenarios in the airport scheduling process: FCFS prioritizes task arrival time for normal scheduling, SJF prioritizes task
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Jeong, Ki Yong, and Hyung Jun Park. "A Study on Policy Design to Improve the Acceptance of Game Regulation Policy: Focusing on Fuzzy Cognitive Map(FCM) Policy Scenario Analysis." Korean Policy Studies Review 31, no. 2 (2022): 33–64. http://dx.doi.org/10.33900/kaps.2022.31.2.2.

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Dissertations / Theses on the topic "FCFM policy"

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Begeot, Jocelyn. "Autour de la stabilité de différents modèles d'appariements aléatoires." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0201.

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Les modèles d'appariements aléatoires représentent de nombreux systèmes stochastiques concrets dans lesquels des éléments de différentes classes sont appariés selon des règles de compatibilités spécifiées. Par exemple, on peut citer les systèmes dédiés à l'allocation d'organes, les sites de recherche d'emplois, de logements, etc. De tels modèles sont toujours associés à un triptyque d'éléments : un graphe connexe, dit de compatibilités, dont les sommets représentent les classes des éléments pouvant entrer dans le systèmeet dont chaque arête relie deux classes compatibles, une politique d'appar
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Naik, Vaibhav C. "Fuzzy C-means clustering approach to design a warehouse layout." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000437.

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Anderson, Madison Lee. "Are we on the same page? Informing adaptive management of outdoor rock climbing using document analysis and cognitive mapping." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1619137676375621.

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Book chapters on the topic "FCFM policy"

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Vincent, Katharine, and Declan Conway. "Key Issues and Progress in Understanding Climate Risk in Africa." In Climate Risk in Africa. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61160-6_1.

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AbstractAdaptations and strategies to build resilience are needed to manage current impacts and will be increasingly vital as the world continues to warm. But making adaptation decisions can be complex, requiring careful consideration of multiple factors and perspectives, and balancing different priorities over different timescales. Society is embarking on a learning process that will continue for decades. This chapter and the book it introduces aim to contribute to this process. The book draws extensively from the Future Climate for Africa (FCFA) research programme that aimed to support adapt
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Choi Youngseok, Lee Habin, and Sivarajah Uthayasankar. "Policy Compass: FCM-based Policy Impact Evaluation using Public Open Data." In Innovation and the Public Sector. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-570-8-158.

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This paper presents how Fuzzy Cognitive Map (FCM) technique can be applied by a policy maker to support the policy impact evaluation using the example of Policy Compass, an EU research project. The practical usage example on interest rate policy shows the potential of FCMs as a policy impact modelling tool. Through the provision of a more intuitive and easier means of using open data based on FCM techniques, the Policy Compass project can play a critical role for both policy maker and lay public to evaluate the policy impact and prepare for future policy making.
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Mahajan, Rajneesh, Suresh Garg, and P. B. Sharma. "Food Cold Chain Management." In Innovative Solutions for Implementing Global Supply Chains in Emerging Markets. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9795-9.ch013.

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Food cold chain management (FCCM) is a specialized kind of supply chain supported by the two different technologies first, refrigeration and second information technology. The refrigeration equipments like cold storages and cold storing devices. They can keep the food quality cum safety intact and enhance food items shelf life. The information technology enables the tracking and tracing through data loggers etc. Despite the huge fresh produce availability in India, food inflation and food security issues are major concerns for policy makers. The food wastage in India is close to US$ 8309 milli
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Patra, Prashant Kumar, and Padma Lochan Pradhan. "Dynamic FCFS ACM Model for Risk Assessment on Real Time Unix File System." In Transportation Systems and Engineering. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch027.

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The access control is a mechanism that a system grants, revoke the right to access the object. The subject and object can able to integrate, synchronize, communicate and optimize through read, write and execute over a UFS. The access control mechanism is the process of mediating each and every request to system resources, application and data maintained by a operating system and determining whether the request should be approve, created, granted or denied as per top management policy. The AC mechanism, management and decision is enforced by implementing regulations established by a security po
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Luo, Yuting, Maoning Chen, Long Zeng, and Canrong Zhang. "Production System Configuration Design for an Unmanned Manufacturing Factory." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230026.

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In Unmanned Manufacturing Factory (UMF), we consider a workstation consisting of a machine and several workbenches, each assigned an AGV to perform the parts transporting service. Every workpiece requires multiple processes at the same workbench, and the time for the AGV to transport a part is greater than the time for the machine to assemble it. This operating model is complex, as several workpieces corresponding to several workbenches are in service at the same time. We extract the production system into a Semi-Open Queuing Networks (SOQNs) model. We use four parameters to describe the state
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Conference papers on the topic "FCFM policy"

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Scates, Erica, John Bullock, and Brian Fuller. "Study on the Impact of Post-Flight CBM Reporting on Readiness and Maintenance Metrics." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12084.

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The Department of the Navy has been developing and deploying Health and Usage Monitoring Systems (HUMS) for more than 20 years. One of the many uses of HUMS is as an enabling technology for implementing Condition Based Maintenance (CBM), the goal of which is to improve aircraft safety, affordability, and availability through an as-needed (rather than scheduled) approach to maintenance. To drive the fleet toward a more realized implementation of CBM, a CBM event detection and reporting system was developed for the Navy's fleet of H-60 aircraft, accompanied by updated policy requiring the fleet
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Balsamo, Simonetta, Andrea Marin, and Isi Mitrani. "A Mixed PS-FCFS Policy for CPU Intensive Workloads." In ICPE '22: ACM/SPEC International Conference on Performance Engineering. ACM, 2022. http://dx.doi.org/10.1145/3489525.3511678.

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Arinez, Jorge, Xinyan Ou, and Qing Chang. "Gantry Scheduling for Two-Machine One-Buffer Composite Work Cell by Reinforcement Learning." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2854.

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In this paper, a manufacturing work cell with a gantry that is in charge of moving materials/parts between machines and buffers is considered. With the effect of the gantry movement, the system performance becomes quite different from traditional serial production lines. In this paper, reinforcement learning is used to develop a gantry scheduling policy in order to improve system production. The gantry learns to take proper actions under different situations to reduce system production loss by using Q-Learning algorithm and finds the optimal moving policy. A two-machine one-buffer work cell wi
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Place, J. "FCFS: a novel scheduling policy for tightly-coupled parallel computer systems." In the seventeenth annual ACM conference. ACM Press, 1989. http://dx.doi.org/10.1145/75427.75450.

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Li, Shengdong, Xueqiang Lv, Chunhua Tie, and Wenjie Su. "Self-adaptive FCM and MMAS for police patrols." In 2010 Sixth International Conference on Natural Computation (ICNC). IEEE, 2010. http://dx.doi.org/10.1109/icnc.2010.5583816.

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Meng, Yuan, Sanmukh Kuppannagari, and Viktor Prasanna. "Accelerating Proximal Policy Optimization on CPU-FPGA Heterogeneous Platforms." In 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). IEEE, 2020. http://dx.doi.org/10.1109/fccm48280.2020.00012.

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Adeleke, Oluwatobi, and Tien-Chien Jen. "Prediction of Electrical Energy Consumption in University Campus Residence Using FCM-Clustered Neuro-Fuzzy Model." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-96793.

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Abstract Developing a viable data-driven policy for the management of electrical-energy consumption in campus residences is contingent on the proper knowledge of the electricity usage pattern and its predictability. In this study, an adaptive neuro-fuzzy inference systems (ANFIS) was developed to model the electrical energy consumption of students’ residence using the University of Johannesburg, South Africa as a case study. The model was developed based on the environmental conditions vis-à-vis meteorological parameters namely temperature, wind speed, and humidity of the respective days as th
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Widyanti, Nia, and Widyasari Widyasari. "Factors Affecting Free-Cash-Flow (FCF) with Dividend Policy as a Mediating Variable." In 8th International Conference of Entrepreneurship and Business Management Untar (ICEBM 2019). Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200626.058.

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Zhang, Liangbin, Wenjun Ma, Xing Shen, et al. "Research on the lesion segmentation of breast tumor MR images based on FCM-DS theory." In SCIENTIFIC SESSION OF APPLIED MECHANICS IX: Proceedings of the IX Polish National Conference on Applied Mechanics. Author(s), 2017. http://dx.doi.org/10.1063/1.4976613.

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Irsutami, Irsutami, and Dewi Fortuna. "The Effect of Institutional Ownership, Free Cash Flow (FCF), and Profitability on Dividend Policy on Registered Basic and Chemical Manufacturing Companies on the Indonesia Stock Exchange." In Proceedings of the 4th International Conference on Applied Economics and Social Science, ICAESS 2022, 5 October 2022, Batam, Riau Islands, Indonesia. EAI, 2023. http://dx.doi.org/10.4108/eai.5-10-2022.2325890.

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