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Journal articles on the topic 'Ordonnanceur Weighted Round Robin'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Nananukul, S. "Latency of weighted round-robin scheduler." Electronics Letters 39, no. 2 (2003): 256. http://dx.doi.org/10.1049/el:20030174.

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2

Krishnamoorthy, N., R. Asokan, and S. Sangeetha. "Performance Evaluation of Weighted Round Robin Grid Scheduling." International Journal of Computer Applications 68, no. 13 (2013): 34–38. http://dx.doi.org/10.5120/11642-7129.

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3

Kwak, Ji-Young Kwak, Ji-Seung Nam Nam, and Doo-Hyun Kim Kim. "A Modified Dynamic Weighted Round Robin Cell Scheduling Algorithm." ETRI Journal 24, no. 5 (2002): 360–72. http://dx.doi.org/10.4218/etrij.02.0102.0504.

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4

Iraji, Mohammad Saber. "Time Sharing Algorithm with Dynamic Weighted Harmonic Round Robin." Journal of Asian Scientific Research 5, no. 3 (2015): 131–42. http://dx.doi.org/10.18488/journal.2/2015.5.3/2.3.131.142.

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5

Hottmar, Vladimir, and Bohumil Adamec. "Analytical Model of a Weighted Round Robin Service System." Journal of Electrical and Computer Engineering 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/374961.

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This paper presents a mathematical description of Weighted Round Robin service strategy, on which basis all the perspective QoS tools that serve to manage congestion in converged packet networks work. On the basis of the presented mathematical model, it is possible to suitably configure the operational parameters (maximum queue length, distribution of the available transfer capacity) of these tools according to required values of packet delays. The implementation of the analytical model is demonstrated on a real network segment using advanced network data traffic emulator.

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6

Ji, Liang, T. N. Arvanitis, and S. I. Woolley. "Fair weighted round robin scheduling scheme for DiffServ networks." Electronics Letters 39, no. 3 (2003): 333. http://dx.doi.org/10.1049/el:20030209.

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7

Lu, Tianbo, Ru Yan, Chao Li, Lihua Yin, Hao Chen, and Xieyu Zou. "SWRR: The Link Scheduling Algorithm Based on Weighted Round-Robin." Computers, Materials & Continua 59, no. 3 (2019): 965–82. http://dx.doi.org/10.32604/cmc.2019.05635.

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8

Mamoun, Mouad Ben, Jean-Michel Fourneau, and Nihal Pekergin. "Analyzing Weighted Round Robin policies with a stochastic comparison approach." Computers & Operations Research 35, no. 8 (2008): 2420–31. http://dx.doi.org/10.1016/j.cor.2006.12.007.

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9

Park, Sanghyun, Jisue Kim, Gemoh Maliva Tihfon, Ho-Yong Ryu, and Jinsul Kim. "Dynamic multimedia transmission control virtual machine using weighted Round-Robin." Cluster Computing 19, no. 1 (2016): 293–300. http://dx.doi.org/10.1007/s10586-015-0524-y.

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10

OUNI, RIDHA, JAMILA BHAR, and KHOLDOUN TORKI. "A NEW SCHEDULING PROTOCOL DESIGN BASED ON DEFICIT WEIGHTED ROUND ROBIN FOR QoS SUPPORT IN IP NETWORKS." Journal of Circuits, Systems and Computers 22, no. 03 (2013): 1350012. http://dx.doi.org/10.1142/s0218126613500126.

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We present a study of the effects of active queue management (AQM) on the average queue size in routers. In this work, three prominent AQM schemes are considered: packet classification, checking service level agreements (SLA) and queue scheduling. This paper presents several adaptive resource sharing models that use a revenue criterion to allocate bandwidth in an optimal way. The models ensure QoS requirements of data flows and, at the same time, maximize the total revenue by adjusting parameters of the underlying schedulers. Deficit round robin (DRR) and deficit weighted round robin (DWRR) sc

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11

Liu, Guikai, and Qing Li. "Packet Scheduling in High-speed Networks Using Improved Weighted Round Robin." Research Journal of Applied Sciences, Engineering and Technology 7, no. 10 (2014): 2046–57. http://dx.doi.org/10.19026/rjaset.7.498.

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12

Balogh, Tomáš, and Martin Medvecký. "Weighted Round Robin and Rate Limiter based Fair Queuing for WRR." International Journal of Computer Network and Information Security 7, no. 5 (2015): 51–60. http://dx.doi.org/10.5815/ijcnis.2015.05.07.

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13

Li, Tong, Dan Baumberger, and Scott Hahn. "Efficient and scalable multiprocessor fair scheduling using distributed weighted round-robin." ACM SIGPLAN Notices 44, no. 4 (2009): 65–74. http://dx.doi.org/10.1145/1594835.1504188.

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14

Velde, Venkateshwarlu, and B. Rama. "Optimized Weighted Round Robin Approach for Load Balancing in Cloud Computing." Journal of Computational and Theoretical Nanoscience 16, no. 5 (2019): 1908–15. http://dx.doi.org/10.1166/jctn.2019.7823.

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15

Tsitouridis, I., S. Papaioannou, M. Arvaniti, K. Tsitouridis, G. Rodokalakis, and C. Papastergiou. "Enhancement of Virchow-Robin Spaces." Neuroradiology Journal 21, no. 6 (2008): 773–79. http://dx.doi.org/10.1177/197140090802100604.

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Virchow-Robin spaces are enclosed spaces filled with interstitial fluid and covered with pia that accompany arteries, arterioles, veins and venules as they perforate the brain. They are round, linear or punctuate areas depending on the image that parallel cerebrospinal fluid attenuation or signal intensity. They are classically described as isointense to cerebrospinal fluid on images obtained with all pulse sequences. They appear hypointense relative to brain on T1-weighted MR scans and present a high signal intensity on T2-weighted MR scans. They also show complete signal suppression on fluid

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16

Katevenis, M., S. Sidiropoulos, and C. Courcoubetis. "Weighted round-robin cell multiplexing in a general-purpose ATM switch chip." IEEE Journal on Selected Areas in Communications 9, no. 8 (1991): 1265–79. http://dx.doi.org/10.1109/49.105173.

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17

Francini, A., F. M. Chiussi, R. T. Clancy, K. D. Drucker, and N. E. Idirene. "Enhanced weighted round robin schedulers for accurate bandwidth distribution in packet networks." Computer Networks 37, no. 5 (2001): 561–78. http://dx.doi.org/10.1016/s1389-1286(01)00229-8.

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18

Ge, Dajie, Zhijun Ding, and Hongfei Ji. "A task scheduling strategy based on weighted round robin for distributed crawler." Concurrency and Computation: Practice and Experience 28, no. 11 (2015): 3202–12. http://dx.doi.org/10.1002/cpe.3701.

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19

N, Manikandan, and Pravin A. "An Efficient Improved Weighted Round Robin Load Balancing Algorithm in Cloud Computing." International Journal of Engineering & Technology 7, no. 3.1 (2018): 110. http://dx.doi.org/10.14419/ijet.v7i3.1.16810.

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Cloud Computing is an era when various trends showed up. It is the type of development, based solely on the Internet. The computer technology has brought in several changes along the years. SaaS is an architecture that comes under computing technology, involving the use of powerful processors, that helps in transforming data centers, scaling services involving computing technology across all fields. Various trends are opening in the field of Cloud Computing, developed mainly on Internet basis and use of computing technology. The computing architecture of SaaS along with powerful processors, ar

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20

Guedes, Allison C. B., and Celso C. Ribeiro. "A heuristic for minimizing weighted carry-over effects in round robin tournaments." Journal of Scheduling 14, no. 6 (2011): 655–67. http://dx.doi.org/10.1007/s10951-011-0244-y.

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21

Ibarra-Delgado, Salvador, Remberto Sandoval-Arechiga, José Ricardo Gómez-Rodríguez, Manuel Ortíz-López, and María Brox. "A Bandwidth Control Arbitration for SoC Interconnections Performing Applications with Task Dependencies." Micromachines 11, no. 12 (2020): 1063. http://dx.doi.org/10.3390/mi11121063.

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Current System-on-Chips (SoCs) execute applications with task dependency that compete for shared resources such as buses, memories, and accelerators. In such a structure, the arbitration policy becomes a critical part of the system to guarantee access and bandwidth suitable for the competing applications. Some strategies proposed in the literature to cope with these issues are Round-Robin, Weighted Round-Robin, Lottery, Time Division Access Multiplexing (TDMA), and combinations. However, a fine-grained bandwidth control arbitration policy is missing from the literature. We propose an innovativ

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22

Balzar, D., N. Audebrand, M. R. Daymond, et al. "Size–strain line-broadening analysis of the ceria round-robin sample." Journal of Applied Crystallography 37, no. 6 (2004): 911–24. http://dx.doi.org/10.1107/s0021889804022551.

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The results of both a line-broadening study on a ceria sample and a size–strain round robin on diffraction line-broadening methods, which was sponsored by the Commission on Powder Diffraction of the International Union of Crystallography, are presented. The sample was prepared by heating hydrated ceria at 923 K for 45 h. Another ceria sample was prepared to correct for the effects of instrumental broadening by annealing commercially obtained ceria at 1573 K for 3 h and slowly cooling it in the furnace. The diffraction measurements were carried out with two laboratory and two synchrotron X-ray

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23

Shimoda, Kohei. "Round-robin testing on Sound power level measurement for Reference Sound Source and Office printer." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 6 (2021): 929–35. http://dx.doi.org/10.3397/in-2021-1698.

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Round-robin testing for two samples, Reference Sound Source in accordance with ISO 6926 and Office printer with electrophotographic engine, were executed by seven testing laboratories in Japan on 2020. All tests were executed with parallelepiped measurement surface in hemi anechoic chamber in accordance with testing standard for engineering-grade sound power determination, ISO 3744:2010. The results show that sample standard deviation for RSS is better than printer. Standard deviations for overall A-weighted sound power level for two samples are better than combined standard uncertainties calc

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24

Arta, Yudhi. "Penerapan Metode Round Robin Pada Jaringan Multihoming Di Computer Cluster." IT JOURNAL RESEARCH AND DEVELOPMENT 1, no. 2 (2017): 26–35. http://dx.doi.org/10.25299/itjrd.2017.vol1(2).677.

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Pentingnya sebuah informasi saat ini dituntut sebuah sistem sanggup memberikan pelayanan yang terbaik, khususnya pelayanan informasi dengan media website. Meningkatnya jumlah akses terhadap website mengakibatkan beban kerja webserver menjadi meningkat dan tidak bisa diatasi dengan single server. Permasalahan tersebut dapat diatasi dengan menerapkan metode cluster load balance. Pada dasarnya cluster load balance bekerja dengan membagikan beban kerja webserver secara terdistribusi ke beberapa node server agar website menjadi seimbang. Algoritma penjadwalan weighted round robin dapat menyeimbangk

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25

M. Mostafa, Samih. "Proportional Weighted Round Robin: A Proportional Share CPU Scheduler in Time Sharing Systems." International Journal of New Computer Architectures and their Applications 8, no. 3 (2018): 142–47. http://dx.doi.org/10.17781/p002491.

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26

Lee, Gi-Yeop, Kyoung-Sub Song, and Dong-Seong Kim. "Scheduling Algorithm for Military Satellite Networks using Dynamic WDRR(Weighted Deficit Round Robin)." Journal of the Institute of Electronics and Information Engineers 50, no. 1 (2013): 196–204. http://dx.doi.org/10.5573/ieek.2013.50.1.196.

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27

Hanafiah, Anggi. "Implementasi Load Balancing Dengan Algoritma Penjadwalan Weighted Round Robin Dalam Mengatasi Beban Webserver." IT Journal Research and Development 5, no. 2 (2021): 226–33. http://dx.doi.org/10.25299/itjrd.2021.vol5(2).5795.

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Dalam kehidupan sehari-hari semua orang tidak terlepas dari berbagai macam informasi, terutama informasi yang dihasilkan dari sebuah website. Selain dari pemrograman yang handal, resource yang lain seperti webserver juga sangat perlu diperhatikan agar website dapat berjalan dengan baik. Seiring meningkatnya kebutuhan konten dan pengunjung website, maka website sering mengalami crash atau request yang overload. Hal ini dikarenakan masih menerapkan single server untuk menangani website tersebut. Untuk mengatasi permasalahan tersebut, perlu diterapkan sebuah load balance cluster, dimana beban ker

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28

Afrianto, Yuggo, Heru Sukoco, and Sri Wahjuni. "Weighted Round Robin Load Balancer to Enhance Web Server Cluster in OpenFlow Networks." TELKOMNIKA (Telecommunication Computing Electronics and Control) 16, no. 3 (2018): 1402. http://dx.doi.org/10.12928/telkomnika.v16i3.5601.

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29

Li, D. C., and F. M. Chang. "An In Out Combined Dynamic Weighted Round-Robin Method for Network Load Balancing." Computer Journal 50, no. 5 (2007): 555–66. http://dx.doi.org/10.1093/comjnl/bxm020.

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30

Jafari, Fahimeh, Axel Jantsch, and Zhonghai Lu. "Weighted Round Robin Configuration for Worst-Case Delay Optimization in Network-on-Chip." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 24, no. 12 (2016): 3387–400. http://dx.doi.org/10.1109/tvlsi.2016.2556007.

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31

Mamoun, Mouad Ben, and Nihal Pekergin. "Stochastic delay bounds of fair queuing policies by analyzing weighted round robin-related policies." Performance Evaluation 47, no. 2-3 (2002): 181–96. http://dx.doi.org/10.1016/s0166-5316(01)00068-2.

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32

Rathore, Deepika, Ashish Shukla, and Gautam Kumar Jaiswal. "Performance Evaluation of Weighted Round Robin Scheduling for WiMAX Networks Using Qualnet Simulator 6.1." IOSR Journal of Electronics and Communication Engineering 9, no. 2 (2014): 77–81. http://dx.doi.org/10.9790/2834-09257781.

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33

Li, Der-Chiang, Chihsen Wu, and Fengming M. Chang. "Determination of the parameters in the dynamic weighted Round-Robin method for network load balancing." Computers & Operations Research 32, no. 8 (2005): 2129–45. http://dx.doi.org/10.1016/j.cor.2004.02.004.

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34

Kaur Dhaliwal, Japman, Mohd Naseem, Aadil Ahamad Lawaye, and Ehtesham Husain Abbasi. "Fibonacci Series based Virtual Machine Selection for Load Balancing in Cloud Computing." International Journal of Engineering & Technology 7, no. 3.12 (2018): 1071. http://dx.doi.org/10.14419/ijet.v7i3.12.17634.

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The rapid advancement of the internet has given birth to many technologies. Cloud computing is one of the most emerging technology which aim to process large scale data by using the computational capabilities of shared resources. It gives support to the distributed parallel processing. Using cloud computing, we can process data by paying according to its uses which eliminates the requirement of device by individual users. As cloud computing grows, more users get attracted towards it. However, providing an efficient execution time and load distribution is a major challenging issue in the distri

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35

Wang, Xiangbin, Guocheng Zhang, Yushan Sun, Lei Wan, and Jian Cao. "Research on autonomous underwater vehicle wall following based on reinforcement learning and multi-sonar weighted round robin mode." International Journal of Advanced Robotic Systems 17, no. 3 (2020): 172988142092531. http://dx.doi.org/10.1177/1729881420925311.

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When autonomous underwater vehicle following the wall, a common problem is interference between sonars equipped in the autonomous underwater vehicle. A novel work mode with weighted polling (which can be also called “weighted round robin mode”) which can independently identify the environment, dynamically establish the environmental model, and switch the operating frequency of the sonar is proposed in this article. The dynamic weighted polling mode solves the problem of sonar interference. By dynamically switching the operating frequency of the sonar, the efficiency of following the wall is im

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36

ZHANG, Peng. "Scheduling scheme of IPTV multicast traffic control based on fair service and multidimensional weighted round robin." Journal of Computer Applications 28, no. 7 (2008): 1831–34. http://dx.doi.org/10.3724/sp.j.1087.2008.01831.

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37

Et al., Abed. "Developing Load Balancing for IoT - Cloud Computing Based on Advanced Firefly and Weighted Round Robin Algorithms." Baghdad Science Journal 16, no. 1 (2019): 0130. http://dx.doi.org/10.21123/bsj.2019.16.1.0130.

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The evolution of the Internet of things (IoT) led to connect billions of heterogeneous physical devices together to improve the quality of human life by collecting data from their environment. However, there is a need to store huge data in big storage and high computational capabilities. Cloud computing can be used to store big data. The data of IoT devices is transferred using two types of protocols: Message Queuing Telemetry Transport (MQTT) and Hypertext Transfer Protocol (HTTP). This paper aims to make a high performance and more reliable system through efficient use of resources. Thus, lo

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38

Patel, Zuber, and Upena Dalal. "Design and Implementation of Low Latency Weighted Round Robin (LL-WRR) Scheduling for High Speed Networks." International Journal of Wireless & Mobile Networks 6, no. 4 (2014): 59–71. http://dx.doi.org/10.5121/ijwmn.2014.6405.

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39

Devi, D. Chitra, and V. Rhymend Uthariaraj. "Load Balancing in Cloud Computing Environment Using Improved Weighted Round Robin Algorithm for Nonpreemptive Dependent Tasks." Scientific World Journal 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/3896065.

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Cloud computing uses the concepts of scheduling and load balancing to migrate tasks to underutilized VMs for effectively sharing the resources. The scheduling of the nonpreemptive tasks in the cloud computing environment is an irrecoverable restraint and hence it has to be assigned to the most appropriate VMs at the initial placement itself. Practically, the arrived jobs consist of multiple interdependent tasks and they may execute the independent tasks in multiple VMs or in the same VM’s multiple cores. Also, the jobs arrive during the run time of the server in varying random intervals under

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40

Le, L. B., E. Hossain, and A. S. Alfa. "Service differentiation in multirate wireless networks with weighted round-robin scheduling and ARQ-based error control." IEEE Transactions on Communications 54, no. 2 (2006): 208–15. http://dx.doi.org/10.1109/tcomm.2005.863788.

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41

Park, Hanmin, and Kiyoung Choi. "Adaptively weighted round-robin arbitration for equality of service in a many-core network-on-chip." IET Computers & Digital Techniques 10, no. 1 (2016): 37–44. http://dx.doi.org/10.1049/iet-cdt.2015.0049.

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42

Adebiyi, Marion Olubunmi, Egbe Egbe Adeka, Florence A. Oladeji, Roseline Oluwaseun Ogundokun, Micheal Olaolu Arowolo, and Ayodele Ariyo Adebiyi. "Evaluation of load balancing algorithms on overlappiing wireless accesspoints." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 2 (2021): 895. http://dx.doi.org/10.11591/ijeecs.v21.i2.pp895-902.

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<span>Wireless networks came into the computing world replacing the costlier and more complex wired method of connecting numerous equipment in the same or different location via the use of cables. It provides the user devices a connection to one another and the greater internet via connections to access points. Generally, 802.11 access point products follow a default strongest signal first approach in selecting user devices or nodes to connect to the access point or overlapping access points. This standard does not make provisions for even distribution of load and hence the quality of se

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43

Zhang, Xiao Yong, Jun Peng, and Shuo Li. "Clock Compensation Strategy in Train Ethernet." Applied Mechanics and Materials 347-350 (August 2013): 2061–66. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2061.

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How to degrade the delay time of gateway queuing with heavy network load in train communication networks is the key to guarantee the stability of the train. This article models the queue scheduling problem modeling into reinforcement learning process, puts forward an adaptive weights learning polling scheduling algorithm with the purpose of dynamic scheduling for vehicle gateway node queue. With the compare of algorithm in this paper and weighted round-robin scheduling algorithm in adequate and inadequate bandwidth resources situations, we have approved the superiority of the algorithm in this

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44

Pan, Jin Xue. "A Load Balancing Mechanism for Video Surveillance System." Advanced Materials Research 1049-1050 (October 2014): 2079–83. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.2079.

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In recent years, with the development of video surveillance systems, the cluster and load balancing technology need be applied to improve the system performance and the quality of service. In this paper, on the basis of common load balancing algorithms, considering the characteristics of the video surveillance system, design a new load balancing scheduling mechanism, by improving the weighted round robin algorithm and introducing the nodes cooperation strategy. The testing results show that the new mechanism can distribute the loads more reasonably and make use of the server resources more eff

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45

Sinha, Garima, and Deepak Sinha. "Enhanced Weighted Round Robin Algorithm to Balance the Load for Effective Utilization of Resource in Cloud Environment." EAI Endorsed Transactions on Cloud Systems 6, no. 18 (2020): 166284. http://dx.doi.org/10.4108/eai.7-9-2020.166284.

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46

Chen, Chung Shue, Kenneth W. Shum, and Chi Wan Sung. "Round-robin power control for the weighted sum rate maximisation of wireless networks over multiple interfering links." European Transactions on Telecommunications 22, no. 8 (2011): 458–70. http://dx.doi.org/10.1002/ett.1496.

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47

Sahana, Sudipta, Tanmoy Mukherjee, and Debabrata Sarddar. "A Conceptual Framework Towards Implementing a Cloud-Based Dynamic Load Balancer Using a Weighted Round-Robin Algorithm." International Journal of Cloud Applications and Computing 10, no. 2 (2020): 22–35. http://dx.doi.org/10.4018/ijcac.2020040102.

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Cloud load balancing has become one of the most vital aspects of Cloud computing that has captured the attention of IT organizations and business firms in recent years. Among the issues related to this particular aspect, one such issue which needs to be addressed is the issue of effectively serving the clients' requests among multiple servers using an appropriate load balancer. Previous survey papers discussed various issues of cloud load balancing and accordingly devised various methods and techniques to address those issues with the objectives of reduction of processing time and response tim

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48

De Rango, Floriano, Vincenzo Inzillo, and Alfonso Ariza Quintana. "Exploiting frame aggregation and weighted round robin with beamforming smart antennas for directional MAC in MANET environments." Ad Hoc Networks 89 (June 2019): 186–203. http://dx.doi.org/10.1016/j.adhoc.2019.03.011.

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49

Ishizaki, Fumio. "Studies on the Short Term Fairness Properties of Joint Scheduler." International Journal of Interdisciplinary Telecommunications and Networking 4, no. 3 (2012): 23–39. http://dx.doi.org/10.4018/jitn.2012070102.

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Since the utilization of multiuser diversity in wireless networks can increase the information theoretic capacity, much attention has been paid to packet schedulers exploiting multiuser diversity. However, it is known if there exists a tradeoff between the information theoretic capacity and fairness achieved by schedulers exploiting multiuser diversity. Therefore, the authors consider the fairness of the schedulers exploiting multiuser diversity as well as their information theoretic capacity. Among schedulers exploiting multiuser diversity, the one-bit feedback fair scheduler is considered an

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50

Qu, Zhijian, Hanxin Liu, Hanlin Wang, Xinqiang Chen, Rui Chi, and Zixiao Wang. "Cluster equilibrium scheduling method based on backpressure flow control in railway power supply systems." PLOS ONE 15, no. 12 (2020): e0243543. http://dx.doi.org/10.1371/journal.pone.0243543.

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The purpose of the study is to solve problems, i.e., increasingly significant processing delay of massive monitoring data and imbalanced tasks in the scheduling and monitoring center for a railway network. To tackle these problems, a method by using a smooth weighted round-robin scheduling based on backpressure flow control (BF-SWRR) is proposed. The method is developed based on a model for message queues and real-time streaming computing. By using telemetry data flow as input data sources, the fields of data sources are segmented into different sets by using a distributed model of stream comp

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