Time-series short-term forecast of internet traffic
Other Title(s)
التنبؤ قصير الأجل بواسطة السلاسل الزمنية لحركة المرور في شبكة الشبكات (الإنترنت)
Joint Authors
al-Darrab, Abd al-Aziz Ibrahim
al-Darrab, Abd al-Aziz Ibrahim
Rushdi, Ali Muhammad Ali
Source
Journal of King Abdulaziz University : Computing and Information Technology Sciences
Issue
Vol. 6, Issue 1 (31 Dec. 2017), pp.21-35, 15 p.
Publisher
King Abdul Aziz University Faculty of Computing and Information Technology
Publication Date
2017-12-31
Country of Publication
Saudi Arabia
No. of Pages
15
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Internet service providers are expected to continuously provide services without interruptions.
However, planning for this activity requires several tasks (such as forecasting clients’ demand) that need to be considered in fulfilling their objectives particularly in face of calamity.
This paper presents the results of using four methods for forecasting the demand of a single client of Internet Service Provider.
A total of 1440 points of inbound and outbound traffic bandwidth usage, taken at 30 minute time intervals for two weeks, were used.
By visually clustering the traffic and by using different parameters of those forecasting methods, a total of 40 time series combinations were studied.
The results of the study indicate that the best short-term forecasting method was the exponential smoothing method with a smoothing parameter of 0.3. The findings of this study should be of great help to the Internet Service Provider to better plan for load distribution between international links and help in approving down times and maintenance windows requested by cable providers.
This should also help in detecting cyber security attacks or spam and reduce clients’ complaints, thus improving their quality of service. For future work, we recommend to use close parameter values to possibly improve the forecast.
American Psychological Association (APA)
al-Darrab, Abd al-Aziz Ibrahim& al-Darrab, Abd al-Aziz Ibrahim& Rushdi, Ali Muhammad Ali. 2017. Time-series short-term forecast of internet traffic. Journal of King Abdulaziz University : Computing and Information Technology Sciences،Vol. 6, no. 1, pp.21-35.
https://search.emarefa.net/detail/BIM-887591
Modern Language Association (MLA)
al-Darrab, Abd al-Aziz Ibrahim& al-Darrab, Abd al-Aziz Ibrahim& Rushdi, Ali Muhammad Ali. Time-series short-term forecast of internet traffic. Journal of King Abdulaziz University : Computing and Information Technology Sciences Vol. 6, no. 1 (2017), pp.21-35.
https://search.emarefa.net/detail/BIM-887591
American Medical Association (AMA)
al-Darrab, Abd al-Aziz Ibrahim& al-Darrab, Abd al-Aziz Ibrahim& Rushdi, Ali Muhammad Ali. Time-series short-term forecast of internet traffic. Journal of King Abdulaziz University : Computing and Information Technology Sciences. 2017. Vol. 6, no. 1, pp.21-35.
https://search.emarefa.net/detail/BIM-887591
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 34
Record ID
BIM-887591