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

https://doi.org/10.22146/ijccs.48157

Hirzen Hasfani(1*), Mardhani Riasetiawan(2)

(1) Master Program of Computer Science and Electronics, FMIPA, UGM, Yogyakarta
(2) Department of Computer Science and Electronics, FMIPA, UGM, Yogyakarta
(*) Corresponding Author

Abstract


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.


Keywords


Internet of Things; Weighted Fair Queueing; Buffer; QS-WFQ

Full Text:

PDF


References

[1] M. I. Mahali, “Smart Door Locks Based on Internet of Things Concept with mobile Backend as a Service,” vol. 1, no. 3, pp. 171–181, 2016.

[2] I. M. O. Widyantara and N. P. Sastra, “Internet of Things for Intelligent Traffic Monitoring System: A Case Study in Denpasar,” Int. J. Comput. Trends Technol., vol. 30, no. 3, pp. 169–173, 2016.

[3] Z. Shouran, A. Ashari, and T. Kuntoro, “Internet of Things (IoT) of Smart Home: Privacy and Security,” Int. J. Comput. Appl., vol. 182, no. 39, pp. 3–8, 2019.

[4] F. Hussain, “The Application of the Internet of Things in Healthcare,” Int. J. Comput. Appl., vol. 180, no. 18, pp. 19–23, 2018.

[5] S. Taherizadeh and V. Stankovski, “Quality of Service Assurance for Internet of Things Time-Critical Cloud Applications: Experience with the Switch and Entice Projects,” in Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017, 2017, pp. 289–294.

[6] A. Botta, W. De Donato, V. Persico, and A. Pescapé, “Integration of Cloud computing and Internet of Things: A survey,” Futur. Gener. Comput. Syst., vol. 56, pp. 684–700, 2016.

[7] A. Siddique and G. R. Rao, “On-Demand Cloud Based Scheduling for Location Based Services,” vol. 3, no. 6, pp. 1–4, 2017.

[8] O. B. Pratama, A. Bhawiyuga, and K. Amron, “Pengembangan Perangkat Lunak IoT Cloud Platform Berbasis Protokol Komunikasi HTTP,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 9, 2018.

[9] X. Li , L. Junhai, L. Wenjing, Y. Huadong, L. Zhenwei, “A queue scheduling approach to QoS support in terminal communication access network,” in 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2016, 2016, pp. 1974–1979.

[10] M. Tim J, “IoT Gateways: What They Are and How to Use Them,” 2016.



DOI: https://doi.org/10.22146/ijccs.48157

Article Metrics

Abstract views : 1668 | views : 1949

Refbacks

  • There are currently no refbacks.




Copyright (c) 2020 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.



Copyright of :
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
ISSN 1978-1520 (print); ISSN 2460-7258 (online)
is a scientific journal the results of Computing
and Cybernetics Systems
A publication of IndoCEISS.
Gedung S1 Ruang 416 FMIPA UGM, Sekip Utara, Yogyakarta 55281
Fax: +62274 555133
email:ijccs.mipa@ugm.ac.id | http://jurnal.ugm.ac.id/ijccs



View My Stats1
View My Stats2