Measuring the effect of monitoring on a cloud computing system by estimating the delay time of requests
Leveraging cloud computing services to improve the flexibility and scalability of the IT services delivered to end-users is becoming increasingly important. However, organizations using cloud computing services face many challenges: decreased visibility into the performance of services being deliver...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-07-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157821000409 |
| _version_ | 1828204813330939904 |
|---|---|
| author | M.M. Khalil A.D. Khomonenko M.D. Matushko |
| author_facet | M.M. Khalil A.D. Khomonenko M.D. Matushko |
| author_sort | M.M. Khalil |
| collection | DOAJ |
| description | Leveraging cloud computing services to improve the flexibility and scalability of the IT services delivered to end-users is becoming increasingly important. However, organizations using cloud computing services face many challenges: decreased visibility into the performance of services being delivered to their end-users. Organizations using cloud computing services need to have visibility not only into the performance of applications that have moved to the cloud, but also into the different computing resources on which these applications depend. The monitoring system monitors the running state of virtual machines, response time and throughput. By analysing this data, you can identify the causes of service delays. During the operation of the monitoring system, virtual machines are suspended, a service delay occurs in order to avoid this delay. Therefore in this paper, a cloud computing model is proposed that takes into account the time spent for monitoring, calculations and probabilities of delay and waiting time are made, blocking probabilities are also put to account and results are shown in diagrams and the effects are discussed. |
| first_indexed | 2024-04-12T12:29:54Z |
| format | Article |
| id | doaj.art-8c51091e5a324b1cb93c436b2f1cbbf9 |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-04-12T12:29:54Z |
| publishDate | 2022-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-8c51091e5a324b1cb93c436b2f1cbbf92022-12-22T03:33:04ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782022-07-0134739683972Measuring the effect of monitoring on a cloud computing system by estimating the delay time of requestsM.M. Khalil0A.D. Khomonenko1M.D. Matushko2University of Diyala, Dep. Of Computer Science, Diyala, Iraq; Corresponding author.Head of the Computing and Information systems, Emperor Alexander I St.Petersburg State Transport University, Saint Petersburg, RussiaHead of the Computing and Information systems, Emperor Alexander I St.Petersburg State Transport University, Saint Petersburg, RussiaLeveraging cloud computing services to improve the flexibility and scalability of the IT services delivered to end-users is becoming increasingly important. However, organizations using cloud computing services face many challenges: decreased visibility into the performance of services being delivered to their end-users. Organizations using cloud computing services need to have visibility not only into the performance of applications that have moved to the cloud, but also into the different computing resources on which these applications depend. The monitoring system monitors the running state of virtual machines, response time and throughput. By analysing this data, you can identify the causes of service delays. During the operation of the monitoring system, virtual machines are suspended, a service delay occurs in order to avoid this delay. Therefore in this paper, a cloud computing model is proposed that takes into account the time spent for monitoring, calculations and probabilities of delay and waiting time are made, blocking probabilities are also put to account and results are shown in diagrams and the effects are discussed.http://www.sciencedirect.com/science/article/pii/S1319157821000409Cloud computingMonitoringMS AzureAWSLoad balancingQueuing theory |
| spellingShingle | M.M. Khalil A.D. Khomonenko M.D. Matushko Measuring the effect of monitoring on a cloud computing system by estimating the delay time of requests Journal of King Saud University: Computer and Information Sciences Cloud computing Monitoring MS Azure AWS Load balancing Queuing theory |
| title | Measuring the effect of monitoring on a cloud computing system by estimating the delay time of requests |
| title_full | Measuring the effect of monitoring on a cloud computing system by estimating the delay time of requests |
| title_fullStr | Measuring the effect of monitoring on a cloud computing system by estimating the delay time of requests |
| title_full_unstemmed | Measuring the effect of monitoring on a cloud computing system by estimating the delay time of requests |
| title_short | Measuring the effect of monitoring on a cloud computing system by estimating the delay time of requests |
| title_sort | measuring the effect of monitoring on a cloud computing system by estimating the delay time of requests |
| topic | Cloud computing Monitoring MS Azure AWS Load balancing Queuing theory |
| url | http://www.sciencedirect.com/science/article/pii/S1319157821000409 |
| work_keys_str_mv | AT mmkhalil measuringtheeffectofmonitoringonacloudcomputingsystembyestimatingthedelaytimeofrequests AT adkhomonenko measuringtheeffectofmonitoringonacloudcomputingsystembyestimatingthedelaytimeofrequests AT mdmatushko measuringtheeffectofmonitoringonacloudcomputingsystembyestimatingthedelaytimeofrequests |