Log in

Relevant bibliographies by topics / Congestion Detection and Notification / Journal articles

To see the other types of publications on this topic, follow the link: Congestion Detection and Notification.

Journal articles on the topic 'Congestion Detection and Notification'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Congestion Detection and Notification.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

MATSUSHIMA, Kenta, Yuki TANISAWA, and Miki YAMAMOTO. "QCN/DC: Quantized Congestion Notification with Delay-Based Congestion Detection in Data Center Networks." IEICE Transactions on Communications E98.B, no. 4 (2015): 585–95. http://dx.doi.org/10.1587/transcom.e98.b.585.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Ta, Vinh-Thong, and Amit Dvir. "A secure road traffic congestion detection and notification concept based on V2I communications." Vehicular Communications 25 (October 2020): 100283. http://dx.doi.org/10.1016/j.vehcom.2020.100283.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Kimura, Mitsutaka, Mitsuhiro Imaizumi, and Toshio Nakagawa. "Optimal Policy of Window Flow Control Based on Packet Transmission Interval with Explicit Congestion Notification." International Journal of Reliability, Quality and Safety Engineering 26, no. 05 (June 30, 2019): 1950024. http://dx.doi.org/10.1142/s0218539319500244.

Full text

Abstract:

This paper discusses a reliability problem of window flow control scheme with Explicit Congestion Notification (ECN) in the communication system, which is an essential issue in the long-distance transmission such as cloud computing. For example, there is a problem of reduction in transmission efficiency caused by a packet loss from network congestion. In order to solve the problem, recently, High-performance and Flexible Protocol (HpFP) has been proposed and performed a verification of effectiveness by simulation. 6 HpFP provides efficient packet communication by changing a packet transmission interval [T. Murata, T. Mizuhara, A. Takagi, K. Fukushima, K. Yamamoto, Y. Nagaya, K. Muranaga and E. Kimura, HpFP: A new protocol for LFNs with packet-loss based on UDP: A basic concept and detailed design of the protocol, IEICE Technical Report 115(484) IN2015-109, pp. 7–12 (2016)]. We have discussed the reliability model of a window flow control scheme based on a packet transmission interval. 7 We have proposed the model which judges the occurrence of congestion in a network by the number of retransmission [M. Kimura, M. Imaizumi and T. Nakagawa, Reliability modelling of window flow control scheme for a communication system based on packet transmission interval, in Proc. 23rd ISSAT Int. Conf. Reliability and Quality in Design (2017), pp. 171–175]. On the other hand, ECN mechanism for the detection of incipient congestion has been already proposed. ECN mechanism is efficient for the window flow control scheme because ECN bit is set in the packet header as an indication of congestion and is avoided unnecessary packet drops. We consider a stochastic model of a window flow control scheme based on a packet transmission interval with ECN. If ECN bit has been set during connection, a packet transmission interval is prolonged. We derive the mean time until packet transmissions succeed, and analytically discuss an optimal policy to maximize the amount of packets per unit of time until the transmission succeeds.

APA, Harvard, Vancouver, ISO, and other styles

4

Lee, Chaeyoung, Hyomin Kim, Sejong Oh, and Illchul Doo. "A Study on Building a “Real-Time Vehicle Accident and Road Obstacle Notification Model” Using AI CCTV." Applied Sciences 11, no. 17 (September 3, 2021): 8210. http://dx.doi.org/10.3390/app11178210.

Full text

Abstract:

This research produced a model that detects abnormal phenomena on the road, based on deep learning, and proposes a service that can prevent accidents because of other cars and traffic congestion. After extracting accident images based on traffic accident video data by using FFmpeg for model production, car collision types are classified, and only the head-on collision types are processed by using the deep learning object-detection algorithm YOLO (You Only Look Once). Using the car accident detection model that we built and the provided road obstacle-detection model, we programmed, for when the model detects abnormalities on the road, warning notification and photos that captures the accidents or obstacles, which are then transferred to the application. The proposed service was verified through application notification simulations and virtual experiments using CCTVs in Daegu, Busan, and Gwangju. By providing services, the goal is to improve traffic safety and achieve the development of a self-driving vehicle sector. As a future research direction, it is suggested that an efficient CCTV control system be introduced for the transportation environment.

APA, Harvard, Vancouver, ISO, and other styles

5

Bujari, Armir, Andrea Marin, Claudio E. Palazzi, and Sabina Rossi. "Smart-RED: A Novel Congestion Control Mechanism for High Throughput and Low Queuing Delay." Wireless Communications and Mobile Computing 2019 (April 4, 2019): 1–10. http://dx.doi.org/10.1155/2019/6941248.

Full text

Abstract:

We consider the scenario in which several TCP connections share the same access point (AP) and a congestion avoidance/control mechanism is adopted with the aim of assigning the available bandwidth to the clients with a certain fairness. When UDP traffic with real-time requirements is present, the problem becomes even more challenging. Very well-known congestion avoidance mechanisms are the Random Early Detection (RED) and the Explicit Congestion Notification (ECN). More recently, the Smart Access Point with Limited Advertised Window (SAP-LAW) has been proposed. Its main idea is that of computing the maximum TCP rate for each connection at the bottleneck, taking into account the UDP traffic to keep a low queue size combined with a reasonable bandwidth utilization. In this paper, we propose a new congestion control mechanism, namely, Smart-RED, inspired by SAP-LAW heuristic formula. We study its performance by using mean field models and compare the behaviours of ECN/RED, SAP-LAW, and Smart-RED under different scenarios. We show that while Smart-RED maintains some of the desirable properties of the SAP-LAW, it solves the problems it may have in case of bursty UDP traffic or TCP connections with very different needs of bandwidth.

APA, Harvard, Vancouver, ISO, and other styles

6

Mahmud, Imtiaz, Tabassum Lubna, Geon-Hwan Kim, and You-Ze Cho. "BA-MPCUBIC: Bottleneck-Aware Multipath CUBIC for Multipath-TCP." Sensors 21, no. 18 (September 19, 2021): 6289. http://dx.doi.org/10.3390/s21186289.

Full text

Abstract:

The Congestion Control Algorithm (CCA) in the Multipath Transmission Control Protocol (MPTCP) is fundamental to controlling the flow of data through multiple subflows (SF) simultaneously. The MPTCP CCA has two design goals: first, always ensure better throughput than single path TCP (SPTCP) flows, and second, collectively, MPTCP SFs going through a shared bottleneck (SB) should occupy bandwidth fairly, i.e., close to the bandwidth occupied by an SPTCP flow. Although several MPTCP CCAs exist, they primarily focus on specific scenarios and could not satisfy the design goals in diverse and dynamic scenarios. Recently, CUBIC has become a widely used CCA for SPTCP for its better compatibility with high-speed internet. CUBIC’s effective implementation in the MPTCP is expected to provide improved throughput and fairer behavior, thus satisfying the design goals. However, although the current multipath CUBIC (MPCUBIC) implementation ensures better fairness, it fails to ensure better throughput. We believe the application of same rule for SFs going through an SB and non-shared bottleneck (NSB) makes it difficult for MPCUBIC to adapt to diverse and dynamically changing network scenarios, thus resulting in poor throughput. Therefore, we present an improved version of MPCUBIC, namely bottleneck-aware MPCUBIC (BA-MPCUBIC), to resolve the throughput issue. First, we deploy an innovative bottleneck detection method that successfully differentiates between an SB and NSB based on round-trip-time, enhanced congestion notification, and packet loss. Then, we implement SPTCP CUBIC and MPCUBIC as the CCAs for SFs going through NSBs and SBs, respectively. Extensive emulation experiments demonstrate that the BA-MPCUBIC successfully detects SBs and NSBs with the highest detection accuracy and the lowest detection time compared with other approaches. Moreover, BA-MPCUBIC successfully satisfies the MPTCP design goals in the considered diverse and dynamic scenarios by ensuring both better throughput and fairness.

APA, Harvard, Vancouver, ISO, and other styles

7

Bhuiyan, MM, and MM Billah. "Wind turbine monitoring system using wireless sensor networks." Journal of the Bangladesh Agricultural University 11, no. 2 (August 11, 2014): 321–30. http://dx.doi.org/10.3329/jbau.v11i2.19936.

Full text

Abstract:

Wireless sensor networks can be used in wind farm monitoring where periodic data collection about the sound generated inside the farm as well as detection and monitoring of faulty wind turbines is necessary. Periodic sound data collection requires reliability while faults detection necessitates timeliness. Simultaneous data gathering and faults monitoring was not well studied in literature. This paper proposed a system model that worked on homogeneous data gathering Wireless sensor networks deployed in wind farms. When a wind turbine became faulty, a cluster with a different transmission channel around that wind turbine was formed and both periodic sound data gathering and faults monitoring were performed at the same time. The proposed model had a novel routing strategy with a built-in congestion control technique to provide timely delivery of faults data. Experimental results show that the proposed method performed better than known similar techniques in terms of reliable data gathering and reliable timely faults monitoring. Due to lower number of high power transmissions, the proposed method had 8% to 17% higher success rate of regular system and 94% of accuracy at the fault monitoring. In terms of timely faults detection and notification, this method had a comparative performance to the existing methods. DOI: http://dx.doi.org/10.3329/jbau.v11i2.19936 J. Bangladesh Agril. Univ. 11(2): 321-330, 2013

APA, Harvard, Vancouver, ISO, and other styles

8

Durresi, Arjan, Leonard Barolli, Raj Jain, and Makoto Takizawa. "Congestion Control Using Multilevel Explicit Congestion Notification." IPSJ Digital Courier 3 (2007): 42–54. http://dx.doi.org/10.2197/ipsjdc.3.42.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Floyd, Sally. "TCP and explicit congestion notification." ACM SIGCOMM Computer Communication Review 24, no. 5 (October 20, 1994): 8–23. http://dx.doi.org/10.1145/205511.205512.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Kuzmanovic, Aleksandar. "The power of explicit congestion notification." ACM SIGCOMM Computer Communication Review 35, no. 4 (October 2005): 61–72. http://dx.doi.org/10.1145/1090191.1080100.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Durresi, A., M. Sridharan, and R. Jain. "Adaptive multi-level explicit congestion notification." International Journal of High Performance Computing and Networking 5, no. 1/2 (2007): 3. http://dx.doi.org/10.1504/ijhpcn.2007.015759.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

TANISAWA, Yuki, and Miki YAMAMOTO. "Multicast Congestion Control with Quantized Congestion Notification in Data Center Networks." IEICE Transactions on Communications E97.B, no. 6 (2014): 1121–29. http://dx.doi.org/10.1587/transcom.e97.b.1121.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Byun, H. J., and J. T. Lim. "Fair TCP congestion control in heterogeneous networks with explicit congestion notification." IEE Proceedings - Communications 152, no. 1 (2005): 13. http://dx.doi.org/10.1049/ip-com:20040966.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Pentikousis, Kostas, and Hussein Badr. "An evaluation oftcp with explicit congestion notification." Annales des Télécommunications 59, no. 1-2 (January 2004): 170–98. http://dx.doi.org/10.1007/bf03179680.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Odeleye, J. A., and L. I. Umar. "Basic Design Architecture of Congestion Notification System: A Real Time Road Traffic Information Enabler." Nigerian Journal of Technology 40, no. 1 (March 23, 2021): 1–5. http://dx.doi.org/10.4314/njt.v40i1.1.

Full text

Abstract:

Road traffic congestion is a prominent challenge of today’s urban center. As a push factor of urban centers, it impact negatively on socio-economic well-being of cities. However, contemporary innovative transport technology of Intelligent Transport System (ITS) is bridging the traveler information gaps, through installation and deployment of smart transport infrastructure such as Congestion Notification System at critical traffic intersections and points that aggravate road traffic congestion. This paper therefore provides a detailed explanation on the configuration and basic architecture of a primary Congestion Notification System (CNS) stating its working principles in providing real time road traffic congestion level information to motorist, prior entering the congestion zones or section of the road. Thus, engendering informed decision by motorists on alternative routes rather than the congested route.

APA, Harvard, Vancouver, ISO, and other styles

16

Almasri, Marwah. "Analytical Study of Pre-Congestion Notification (PCN) Techniques." International journal of Computer Networks & Communications 4, no. 4 (July 31, 2012): 61–76. http://dx.doi.org/10.5121/ijcnc.2012.4404.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Zhang, Yan, and Nirwan Ansari. "Fair Quantized Congestion Notification in Data Center Networks." IEEE Transactions on Communications 61, no. 11 (November 2013): 4690–99. http://dx.doi.org/10.1109/tcomm.2013.102313.120809.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Zhou, Pan, Hongfang Yu, Gang Sun, Long Luo, Shouxi Luo, and Zilong Ye. "Flow-aware explicit congestion notification for datacenter networks." Cluster Computing 22, no. 4 (February 26, 2019): 1431–46. http://dx.doi.org/10.1007/s10586-019-02919-z.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Chrysos, Nikolaos, Fredy Neeser, Rolf Clauberg, Daniel Crisan, Kenneth M. Valk, Claude Basso, Cyriel Minkenberg, and Mitch Gusat. "Unbiased Quantized Congestion Notification for Scalable Server Fabrics." IEEE Micro 36, no. 6 (November 2016): 50–58. http://dx.doi.org/10.1109/mm.2015.131.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Pawar, Satish D., and Pallavi V. Kulkarni. "A Survey on Congestion Notification Algorithm in Data Centers." International Journal of Computer Applications 107, no. 21 (December 18, 2014): 32–38. http://dx.doi.org/10.5120/19147-0454.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Liu, Chunlei, and Raj Jain. "Improving explicit congestion notification with the mark-front strategy." Computer Networks 35, no. 2-3 (February 2001): 185–201. http://dx.doi.org/10.1016/s1389-1286(00)00167-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Anusuya, K. V., B. Krishna Chaitanya, and S. Subha Rani. "Efficient TCP variant with congestion notification for heterogeneous networks." International Journal of Communication Networks and Distributed Systems 3, no. 1 (2009): 55. http://dx.doi.org/10.1504/ijcnds.2009.026617.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Ganesh, A. J., P. B. Key, D. Polis, and R. Srikant. "Congestion notification and probing mechanisms for endpoint admission control." IEEE/ACM Transactions on Networking 14, no. 3 (June 2006): 568–78. http://dx.doi.org/10.1109/tnet.2006.876180.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Teymoori, Peyman, David A. Hayes, Michael Welzl, and Stein Gjessing. "Estimating an Additive Path Cost With Explicit Congestion Notification." IEEE Transactions on Control of Network Systems 8, no. 2 (June 2021): 859–71. http://dx.doi.org/10.1109/tcns.2021.3053179.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

NAKAGAWA, Rei, Satoshi OHZAHATA, Ryo YAMAMOTO, and Toshihiko KATO. "A Congestion-Aware Adaptive Streaming over ICN Combined with Explicit Congestion Notification for QoE Improvement." IEICE Transactions on Information and Systems E104.D, no. 2 (February 1, 2021): 264–74. http://dx.doi.org/10.1587/transinf.2020edp7095.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Utsumi, Satoshi, Salahuddin Muhammad Salim Zabir, and Sumet Prabhavat. "A new explicit congestion notification scheme for satellite IP networks." Journal of Network and Computer Applications 75 (November 2016): 169–80. http://dx.doi.org/10.1016/j.jnca.2016.08.027.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Djemame, K., and M. Kara. "TCP Explicit Congestion Notification over ATM-UBR: A Simulation Study." SIMULATION 78, no. 3 (March 2002): 196–204. http://dx.doi.org/10.1177/0037549702078003530.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Khurshid, Waqar, Imran A. Khan, L. M. Kiah, Osman Khalid, and Sajjad A. Madani. "A Dynamic Threshold Calculation for Congestion Notification in IEEE 802.1Qbb." IEEE Communications Letters 24, no. 4 (April 2020): 744–47. http://dx.doi.org/10.1109/lcomm.2020.2966198.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Kim, Byung-Chul, and You-Ze Cho. "Mark-relay strategy for explicit congestion notification in the Internet." Electronics Letters 38, no. 12 (2002): 612. http://dx.doi.org/10.1049/el:20020378.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Wetzels, Frank, Hans van den Berg, Joost Bosman, and Rob van der Mei. "Flow termination signaling in the centralized pre-congestion notification architecture." Computer Networks 127 (November 2017): 233–42. http://dx.doi.org/10.1016/j.comnet.2017.08.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Mishra, Sumit, Devanjan Bhattacharya, and Ankit Gupta. "Congestion Adaptive Traffic Light Control and Notification Architecture Using Google Maps APIs." Data 3, no. 4 (December 14, 2018): 67. http://dx.doi.org/10.3390/data3040067.

Full text

Abstract:

Traffic jams can be avoided by controlling traffic signals according to quickly building congestion with steep gradients on short temporal and small spatial scales. With the rising standards of computational technology, single-board computers, software packages, platforms, and APIs (Application Program Interfaces), it has become relatively easy for developers to create systems for controlling signals and informative systems. Hence, for enhancing the power of Intelligent Transport Systems in automotive telematics, in this study, we used crowdsourced traffic congestion data from Google to adjust traffic light cycle times with a system that is adaptable to congestion. One aim of the system proposed here is to inform drivers about the status of the upcoming traffic light on their route. Since crowdsourced data are used, the system does not entail the high infrastructure cost associated with sensing networks. A full system module-level analysis is presented for implementation. The system proposed is fail-safe against temporal communication failure. Along with a case study for examining congestion levels, generic information processing for the cycle time decision and status delivery system was tested and confirmed to be viable and quick for a restricted prototype model. The information required was delivered correctly over sustained trials, with an average time delay of 1.5 s and a maximum of 3 s.

APA, Harvard, Vancouver, ISO, and other styles

32

Ruan, Chang, Jianxin Wang, Wanchun Jiang, Jiawei Huang, Geyong Min, and Yi Pan. "FSQCN: Fast and simple quantized congestion notification in data center ethernet." Journal of Network and Computer Applications 83 (April 2017): 53–62. http://dx.doi.org/10.1016/j.jnca.2017.01.025.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Ruan, Chang, Tao Zhang, Huixi Li, and Yanhui Xi. "Nonlinear Control Analysis of Quantized Congestion Notification in Data Center Networks." IEEE Access 8 (2020): 125401–11. http://dx.doi.org/10.1109/access.2020.3006065.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Luo, Junzhou, Jiahui Jin, and Feng Shan. "Standardization of Low-Latency TCP with Explicit Congestion Notification: A Survey." IEEE Internet Computing 21, no. 1 (January 2017): 48–55. http://dx.doi.org/10.1109/mic.2017.11.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Jiang, Wanchun, Fengyuan Ren, Yongwei Wu, Chuang Lin, and Ivan Stojmenovic. "Analysis of Backward Congestion Notification with Delay for Enhanced Ethernet Networks." IEEE Transactions on Computers 63, no. 11 (November 2014): 2674–84. http://dx.doi.org/10.1109/tc.2013.157.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Jiang, Wanchun, Fengyuan Ren, and Chuang Lin. "Phase Plane Analysis of Quantized Congestion Notification for Data Center Ethernet." IEEE/ACM Transactions on Networking 23, no. 1 (February 2015): 1–14. http://dx.doi.org/10.1109/tnet.2013.2292851.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

HAYASHI, Yuki, Hayato ITSUMI, and Miki YAMAMOTO. "Improvement of Flow Fairness in Quantized Congestion Notification for Data Center Networks." IEICE Transactions on Communications E96.B, no. 1 (2013): 99–107. http://dx.doi.org/10.1587/transcom.e96.b.99.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

RUAN, Chang, Jianxin WANG, Jiawei HUANG, and Wanchun JIANG. "Analysis on Buffer Occupancy of Quantized Congestion Notification in Data Center Networks." IEICE Transactions on Communications E99.B, no. 11 (2016): 2361–72. http://dx.doi.org/10.1587/transcom.2016ebp3052.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Djemame, K., M. Kara, and R. Banwait. "An agent based congestion control and notification scheme for TCP over ABR." Computer Communications 23, no. 16 (September 2000): 1524–36. http://dx.doi.org/10.1016/s0140-3664(00)00193-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Kunniyur, S., and R. Srikant. "A time-scale decomposition approach to adaptive explicit congestion notification (ECN) marking." IEEE Transactions on Automatic Control 47, no. 6 (June 2002): 882–94. http://dx.doi.org/10.1109/tac.2002.1008355.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Ye, Guanhua, Tarek N. Saadawi, and Myung Lee. "On Explicit Congestion Notification for Stream Control Transmission Protocol in Lossy Networks." Cluster Computing 8, no. 2-3 (July 2005): 147–56. http://dx.doi.org/10.1007/s10586-005-6180-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Shu, Ran, Fengyuan Ren, Jiao Zhang, Tong Zhang, and Chuang Lin. "Analysing and improving convergence of quantized congestion notification in Data Center Ethernet." Computer Networks 130 (January 2018): 51–64. http://dx.doi.org/10.1016/j.comnet.2017.11.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Khan, Sultan Daud, Maqsood Mahmud, Habib Ullah, Mohib Ullah, and Faouzi Alaya Cheikh. "CROWD CONGESTION DETECTION IN VIDEOS." Electronic Imaging 2020, no. 6 (January 26, 2020): 72–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.6.iriacv-071.

Full text

Abstract:

Automatic detection of crowd congestion in high density crowds is a challenging problem, with substantial interest for safety and security applications. In this paper, we propose a method that can automatically identify and localize congested regions in crowded videos. Our proposed method is based on the notion that pedestrians in the congested region follow a particular behavior. Pedestrians in the congested areas cannot move freely due to space unavailability and tend to undergo lateral oscillations. In our method, we first extract trajectories by using particle advection technique and then compute oscillatory features for each trajectory. Trajectories with higher oscillation values and with less proximity are clustered, indicating the congested regions. We perform experiments on a diversity of challenging scenarios. From the experimental results, we show that our method provides precise localization of congested regions in crowd videos.

APA, Harvard, Vancouver, ISO, and other styles

44

Wiseman, Yair. "Computerized Traffic Congestion Detection System." International Journal of Transportation and Logistics Management 1, no. 1 (December 30, 2017): 1–8. http://dx.doi.org/10.21742/ijtlm.2017.1.1.01.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Li, Jian-Min, Indra Widjaja, and Marcel F. Neuts. "Congestion detection in ATM networks." Performance Evaluation 34, no. 3 (November 1998): 147–68. http://dx.doi.org/10.1016/s0166-5316(98)00030-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

MOROOKA, Yuji, Shinji ARAI, Junichi NAKAGAWA, Miwako KITAMURA, and Yuki INOUE. "Congestion Detection System of Escalator." Proceedings of the Transportation and Logistics Conference 2020.29 (2020): 6101. http://dx.doi.org/10.1299/jsmetld.2020.29.6101.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Kang, Minkoo, Gyeongsik Yang, Yeonho Yoo, and Chuck Yoo. "Proactive Congestion Avoidance for Distributed Deep Learning." Sensors 21, no. 1 (December 29, 2020): 174. http://dx.doi.org/10.3390/s21010174.

Full text

Abstract:

This paper presents “Proactive Congestion Notification” (PCN), a congestion-avoidance technique for distributed deep learning (DDL). DDL is widely used to scale out and accelerate deep neural network training. In DDL, each worker trains a copy of the deep learning model with different training inputs and synchronizes the model gradients at the end of each iteration. However, it is well known that the network communication for synchronizing model parameters is the main bottleneck in DDL. Our key observation is that the DDL architecture makes each worker generate burst traffic every iteration, which causes network congestion and in turn degrades the throughput of DDL traffic. Based on this observation, the key idea behind PCN is to prevent potential congestion by proactively regulating the switch queue length before DDL burst traffic arrives at the switch, which prepares the switches for handling incoming DDL bursts. In our evaluation, PCN improves the throughput of DDL traffic by 72% on average.

APA, Harvard, Vancouver, ISO, and other styles

48

Zhang, Yan, and Nirwan Ansari. "On Architecture Design, Congestion Notification, TCP Incast and Power Consumption in Data Centers." IEEE Communications Surveys & Tutorials 15, no. 1 (2013): 39–64. http://dx.doi.org/10.1109/surv.2011.122211.00017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Le, Long, Jay Aikat, Kevin Jeffay, and F. Donelson Smith. "The Effects of Active Queue Management and Explicit Congestion Notification on Web Performance." IEEE/ACM Transactions on Networking 15, no. 6 (December 2007): 1217–30. http://dx.doi.org/10.1109/tnet.2007.910583.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

NAKAGAWA, Rei, Satoshi OHZAHATA, Ryo YAMAMOTO, and Toshihiko KATO. "Mitigating Congestion with Explicit Cache Placement Notification for Adaptive Video Streaming over ICN." IEICE Transactions on Information and Systems E104.D, no. 9 (September 1, 2021): 1406–19. http://dx.doi.org/10.1587/transinf.2020edp7237.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!