A queue scheduling approach to QoS support in terminal communication access network

Li, Xin; Lu, Junhai; Li, Wenjing; Yu, Huadong; Li, Zhenwei; Du, Shimo; Zhao, Lei; Tang, Liangrui

doi:10.1109/fskd.2016.7603483

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…In this study, a method of packet queue scheduling in data transmission will be proposed using the Weighted Fair Queue scheduling algorithm whose weights can vary and are calculated based on the average queue size in the buffer using the Dynamic Weight Standardization calculation. In research [9] shows the Weighted Fair Queue algorithm is better than the Weighted Round Robin algorithm where packet loss on WFQ is 13% compared to the WRR algorithm of 25%. Then the delay in WFQ and WRR is 4 ms and 1.9 s, respectively.…”

Section: Introductionmentioning

confidence: 98%

The Evaluation QS-WFQ Scheduling Algorithm For IoT Transmission To Cloud

Hasfani¹,

Riasetiawan²

2020

Indonesian J. Comput. Cybern. Syst.

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This study using the Weighted Fair Queue scheduling algorithm when the weights can change and calculated based on changes in the average queue size in the buffer. This algorithm divides the priorities of each sensor into three priorities, namely high, medium and low priority. Each queue is given a weight that is adjusted to the resource requirements of each traffic. High priority data will take precedence, but medium and low priority data will remain underserved and guaranteed by network resources.The results of this study show packet loss ratio when the ratio of the number of buffers and the amount of data is 1: 3 with variations in the number of high, medium and low priority buffers 75: 75: 150 and 50: 50: 200 is 0%. The delay time in the high priority and the medium priority buffer has almost the same delay time when data is transmitted, whereas for the low priority buffer increased in the delay time.

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Section: Introductionmentioning

confidence: 98%

The Evaluation QS-WFQ Scheduling Algorithm For IoT Transmission To Cloud

Hasfani¹,

Riasetiawan²

2020

Indonesian J. Comput. Cybern. Syst.

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“…Involving communication among a network of objects, IoT systems have become popular [2][3][4]. Such systems generate large amounts of diverse data, and require various levels of QoS (Quality of Service) [2][3][4][5]. Mostly, the data transferred in IoT systems is delivered through generated messages.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Multi-class Message Scheduling Scheme for Healthcare IoT Systems

Park¹,

Kim²,

Park³

2018

IJGDC

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The Internet of Things (IoT) concept, which involves communication within a network of objects, has become increasingly popular, and development in this area of technology is quite active. IoT environments involve the generation of large amounts of data, and require various levels of Quality of Service. For this reason, message scheduling schemes to deliver the data in IoT environments are considered to be essential.This paper proposes an efficient multi-class message scheduling algorithm for healthcare IoT environments. In the proposed message algorithm, messages are grouped into three message classes (UNC, RT and DT classes) based on the characteristics of the messages. The proposed message algorithm is resourceefficient because it uses a simpler priority calculation than the Multi-class Q-Learning message scheduling algorithm, which we proposed for IoT systems previously.Tests were conducted on a part of the oneM2M-based IoT system we have built. These showed that in most cases, the proposed scheduling algorithm performs better than the Multi-class Q-Learning scheduling algorithm.

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“…In the IoT environment, the amount of messages exchanged in the system is very large, and differentiated quality of service (QoS) is required for each message [3]. Since the messages have different QoS requirements, an effective algorithm must be designed to support those QoS requirements [4].…”

Section: Introductionmentioning

confidence: 99%

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2017

IJCS

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A queue scheduling approach to QoS support in terminal communication access network

Cited by 4 publications

References 9 publications

The Evaluation QS-WFQ Scheduling Algorithm For IoT Transmission To Cloud

The Evaluation QS-WFQ Scheduling Algorithm For IoT Transmission To Cloud

An Efficient Multi-class Message Scheduling Scheme for Healthcare IoT Systems

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