Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing
Cloud computing in the field of high-performance distributed computing has emerged as a new development in which the demand for access to resources via the Internet is presented in distributed servers that dynamically scale Are acceptable. One of the important research issues that must be considered...
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| Format: | Article |
| Language: | English |
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OICC Press
2024-02-01
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| Series: | Majlesi Journal of Electrical Engineering |
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| Online Access: | https://oiccpress.com/mjee/article/view/4921 |
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| author | Abdolreza Pirhoseinlo Nafiseh Osati Eraghi Javad Akbari Torkestani |
| author_facet | Abdolreza Pirhoseinlo Nafiseh Osati Eraghi Javad Akbari Torkestani |
| author_sort | Abdolreza Pirhoseinlo |
| collection | DOAJ |
| description | Cloud computing in the field of high-performance distributed computing has emerged as a new development in which the demand for access to resources via the Internet is presented in distributed servers that dynamically scale Are acceptable. One of the important research issues that must be considered to achieve efficient performance is fault tolerance. Fault tolerance is a way to find faults and failures in a system. Predicting and reducing errors play an important role in increasing the performance and popularity of cloud computing. In this study, an adaptive workflow scheduling approach is presented to increase fault tolerance in cloud computing. The present approach calculates the probability of failure for each resource according to the execution time of tasks on the resources. In the present method, a deadline is set for each of the tasks. If the task is not completed within the specified time, the probability of failure in the source increases and subsequent tasks are not sent to the desired source. The simulation results of the proposed method show that the proposed idea can work well on workflows and improve service quality factors. |
| format | Article |
| id | doaj-art-28b64b7733e34266ad3bf7a28aef38b4 |
| institution | DOAJ |
| issn | 2345-377X 2345-3796 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | OICC Press |
| record_format | Article |
| series | Majlesi Journal of Electrical Engineering |
| spelling | doaj-art-28b64b7733e34266ad3bf7a28aef38b42025-08-20T03:04:02ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962024-02-0115310.52547/mjee.15.3.25Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud ComputingAbdolreza Pirhoseinlo0Nafiseh Osati Eraghi1Javad Akbari Torkestani2Department of Computer Engineering, Arak Branch, Islamic Azad University, Arak, IranDepartment of Computer Engineering, Arak Branch, Islamic Azad University, Arak, IranDepartment of Computer Engineering, Arak Branch, Islamic Azad University, Arak, IranCloud computing in the field of high-performance distributed computing has emerged as a new development in which the demand for access to resources via the Internet is presented in distributed servers that dynamically scale Are acceptable. One of the important research issues that must be considered to achieve efficient performance is fault tolerance. Fault tolerance is a way to find faults and failures in a system. Predicting and reducing errors play an important role in increasing the performance and popularity of cloud computing. In this study, an adaptive workflow scheduling approach is presented to increase fault tolerance in cloud computing. The present approach calculates the probability of failure for each resource according to the execution time of tasks on the resources. In the present method, a deadline is set for each of the tasks. If the task is not completed within the specified time, the probability of failure in the source increases and subsequent tasks are not sent to the desired source. The simulation results of the proposed method show that the proposed idea can work well on workflows and improve service quality factors.https://oiccpress.com/mjee/article/view/4921Cloud computingFault tolerancePulse width modulation (PWM) TechniqueScheduling |
| spellingShingle | Abdolreza Pirhoseinlo Nafiseh Osati Eraghi Javad Akbari Torkestani Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing Majlesi Journal of Electrical Engineering Cloud computing Fault tolerance Pulse width modulation (PWM) Technique Scheduling |
| title | Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing |
| title_full | Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing |
| title_fullStr | Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing |
| title_full_unstemmed | Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing |
| title_short | Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing |
| title_sort | adaptive workflow scheduling to increase fault tolerance in cloud computing |
| topic | Cloud computing Fault tolerance Pulse width modulation (PWM) Technique Scheduling |
| url | https://oiccpress.com/mjee/article/view/4921 |
| work_keys_str_mv | AT abdolrezapirhoseinlo adaptiveworkflowschedulingtoincreasefaulttoleranceincloudcomputing AT nafisehosatieraghi adaptiveworkflowschedulingtoincreasefaulttoleranceincloudcomputing AT javadakbaritorkestani adaptiveworkflowschedulingtoincreasefaulttoleranceincloudcomputing |