Priority based fair scheduling : Enhancing efficiency in cloud job distribution
In recent years, there has been a growing interest in cloud computing as a means to enhance user access to shared computing resources, including software and hardware, through the internet. However, the efficient utilization of these cloud resources has been a challenge, often resulting in wastage o...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/40333/1/Priority%20based%20fair%20scheduling_Enhancing%20efficiency%20in%20cloud.pdf http://umpir.ump.edu.my/id/eprint/40333/2/Priority%20based%20fair%20scheduling_Enhancing%20efficiency%20in%20cloud%20job%20distribution_ABS.pdf |
| _version_ | 1796996229452791808 |
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| author | Murad, Saydul Akbar Zafril Rizal, M. Azmi Brishti, Faria Jerin Saib, Md Bairagi, Anupam Kumar |
| author_facet | Murad, Saydul Akbar Zafril Rizal, M. Azmi Brishti, Faria Jerin Saib, Md Bairagi, Anupam Kumar |
| author_sort | Murad, Saydul Akbar |
| collection | UMP |
| description | In recent years, there has been a growing interest in cloud computing as a means to enhance user access to shared computing resources, including software and hardware, through the internet. However, the efficient utilization of these cloud resources has been a challenge, often resulting in wastage or degraded service performance due to inadequate scheduling. To overcome this challenge, numerous researchers have focused on improving existing Priority Rule (PR) cloud schedulers by developing dynamic scheduling algorithms, but they have fallen short of meeting user satisfaction. In this study, we introduce a new PR scheduler called Priority Based Fair Scheduling (PBFS), which takes into account key parameters such as CPU Time, Job Arrival Time, and Job Length. We evaluate the performance of PBFS by comparing it with five existing algorithms, and the results demonstrate that PBFS surpasses the performance of the other algorithms. The experiment was conducted using the CloudSim simulator, utilizing a dataset of 300 and 400 jobs. In order to assess the performance, three key metrics were employed: flow time, makespan time, and total tardiness. These metrics were chosen to evaluate and analyze the effectiveness of the proposed scheduling algorithm. |
| first_indexed | 2024-04-22T01:25:50Z |
| format | Conference or Workshop Item |
| id | UMPir40333 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-04-22T01:25:50Z |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | UMPir403332024-04-16T04:10:47Z http://umpir.ump.edu.my/id/eprint/40333/ Priority based fair scheduling : Enhancing efficiency in cloud job distribution Murad, Saydul Akbar Zafril Rizal, M. Azmi Brishti, Faria Jerin Saib, Md Bairagi, Anupam Kumar QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) In recent years, there has been a growing interest in cloud computing as a means to enhance user access to shared computing resources, including software and hardware, through the internet. However, the efficient utilization of these cloud resources has been a challenge, often resulting in wastage or degraded service performance due to inadequate scheduling. To overcome this challenge, numerous researchers have focused on improving existing Priority Rule (PR) cloud schedulers by developing dynamic scheduling algorithms, but they have fallen short of meeting user satisfaction. In this study, we introduce a new PR scheduler called Priority Based Fair Scheduling (PBFS), which takes into account key parameters such as CPU Time, Job Arrival Time, and Job Length. We evaluate the performance of PBFS by comparing it with five existing algorithms, and the results demonstrate that PBFS surpasses the performance of the other algorithms. The experiment was conducted using the CloudSim simulator, utilizing a dataset of 300 and 400 jobs. In order to assess the performance, three key metrics were employed: flow time, makespan time, and total tardiness. These metrics were chosen to evaluate and analyze the effectiveness of the proposed scheduling algorithm. Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40333/1/Priority%20based%20fair%20scheduling_Enhancing%20efficiency%20in%20cloud.pdf pdf en http://umpir.ump.edu.my/id/eprint/40333/2/Priority%20based%20fair%20scheduling_Enhancing%20efficiency%20in%20cloud%20job%20distribution_ABS.pdf Murad, Saydul Akbar and Zafril Rizal, M. Azmi and Brishti, Faria Jerin and Saib, Md and Bairagi, Anupam Kumar (2023) Priority based fair scheduling : Enhancing efficiency in cloud job distribution. In: 8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25-27 August 2023 , Penang. pp. 170-175. (192961). ISBN 979-835031093-1 https://doi.org/10.1109/ICSECS58457.2023.10256273 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Murad, Saydul Akbar Zafril Rizal, M. Azmi Brishti, Faria Jerin Saib, Md Bairagi, Anupam Kumar Priority based fair scheduling : Enhancing efficiency in cloud job distribution |
| title | Priority based fair scheduling : Enhancing efficiency in cloud job distribution |
| title_full | Priority based fair scheduling : Enhancing efficiency in cloud job distribution |
| title_fullStr | Priority based fair scheduling : Enhancing efficiency in cloud job distribution |
| title_full_unstemmed | Priority based fair scheduling : Enhancing efficiency in cloud job distribution |
| title_short | Priority based fair scheduling : Enhancing efficiency in cloud job distribution |
| title_sort | priority based fair scheduling enhancing efficiency in cloud job distribution |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/40333/1/Priority%20based%20fair%20scheduling_Enhancing%20efficiency%20in%20cloud.pdf http://umpir.ump.edu.my/id/eprint/40333/2/Priority%20based%20fair%20scheduling_Enhancing%20efficiency%20in%20cloud%20job%20distribution_ABS.pdf |
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