A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing
Cloud computing is an innovative technology that deploys networks of servers, located in wide remote areas, for performing operations on a large amount of data. In cloud computing, a workflow model is used to represent different scientific and web applications. One of the main issues in this context...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/38235/1/38235.pdf |
| _version_ | 1796973305494765568 |
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| author | Ramadhan, Mazen Farid Ebrahim Latip, Rohaya Hussin, Masnida Abdul Hamid, Nor Asilah Wati |
| author_facet | Ramadhan, Mazen Farid Ebrahim Latip, Rohaya Hussin, Masnida Abdul Hamid, Nor Asilah Wati |
| author_sort | Ramadhan, Mazen Farid Ebrahim |
| collection | UPM |
| description | Cloud computing is an innovative technology that deploys networks of servers, located in wide remote areas, for performing operations on a large amount of data. In cloud computing, a workflow model is used to represent different scientific and web applications. One of the main issues in this context is scheduling large workflows of tasks with scientific standards on the heterogeneous cloud environment. Other issues are particular to public cloud computing. These include the need for the user to be satisfied with the quality of service (QoS) parameters, such as scalability and reliability, as well as maximize the end-users resource utilization rate. This paper surveys scheduling algorithms based on particle swarm optimization (PSO). This is aimed at assisting users to decide on the most suitable QoS consideration for large workflows in infrastructure as a service (IaaS) cloud applications and mapping tasks to resources. Besides, the scheduling schemes are categorized according to the variant of the PSO algorithm implemented. Their objectives, characteristics, limitations and testing tools have also been highlighted. Finally, further directions for future research are identified. |
| first_indexed | 2024-03-06T08:40:41Z |
| format | Article |
| id | upm.eprints-38235 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:40:41Z |
| publishDate | 2020 |
| publisher | MDPI |
| record_format | dspace |
| spelling | upm.eprints-382352020-05-04T16:04:23Z http://psasir.upm.edu.my/id/eprint/38235/ A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing Ramadhan, Mazen Farid Ebrahim Latip, Rohaya Hussin, Masnida Abdul Hamid, Nor Asilah Wati Cloud computing is an innovative technology that deploys networks of servers, located in wide remote areas, for performing operations on a large amount of data. In cloud computing, a workflow model is used to represent different scientific and web applications. One of the main issues in this context is scheduling large workflows of tasks with scientific standards on the heterogeneous cloud environment. Other issues are particular to public cloud computing. These include the need for the user to be satisfied with the quality of service (QoS) parameters, such as scalability and reliability, as well as maximize the end-users resource utilization rate. This paper surveys scheduling algorithms based on particle swarm optimization (PSO). This is aimed at assisting users to decide on the most suitable QoS consideration for large workflows in infrastructure as a service (IaaS) cloud applications and mapping tasks to resources. Besides, the scheduling schemes are categorized according to the variant of the PSO algorithm implemented. Their objectives, characteristics, limitations and testing tools have also been highlighted. Finally, further directions for future research are identified. MDPI 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/38235/1/38235.pdf Ramadhan, Mazen Farid Ebrahim and Latip, Rohaya and Hussin, Masnida and Abdul Hamid, Nor Asilah Wati (2020) A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing. Symmetry, 12 (4). art. no. 551. pp. 1-27. ISSN 2073-8994 https://www.mdpi.com/2073-8994/12/4/551 10.3390/sym12040551 |
| spellingShingle | Ramadhan, Mazen Farid Ebrahim Latip, Rohaya Hussin, Masnida Abdul Hamid, Nor Asilah Wati A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing |
| title | A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing |
| title_full | A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing |
| title_fullStr | A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing |
| title_full_unstemmed | A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing |
| title_short | A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing |
| title_sort | survey on qos requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing |
| url | http://psasir.upm.edu.my/id/eprint/38235/1/38235.pdf |
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