Energy-Efficient Cloud Service Selection and Recommendation Based on QoS for Sustainable Smart Cities
The growing demand for cloud technology brings several cloud service providers and their diverse list of services in the market, putting a challenge for the user to select the best service from the inventory of available services. Therefore, a system that understands the user requirements and finds...
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| Other Authors: | , , , , , , |
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2021
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| Online Access: | https://bspace.buid.ac.ae/handle/1234/3292 |
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| _version_ | 1862980617302441984 |
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| author | Sirohi, Preeti |
| author2 | N. Al-Wesabi, Fahd Mesfer Alshahrani, Haya Maheshwari, Piyush Agarwal, Amit Kumar Dewangan, Bhupesh Mustafa Hilal, Anwer Choudhury, Tanupriya |
| author2_role | author author author author author author author |
| author_facet | Sirohi, Preeti N. Al-Wesabi, Fahd Mesfer Alshahrani, Haya Maheshwari, Piyush Agarwal, Amit Kumar Dewangan, Bhupesh Mustafa Hilal, Anwer Choudhury, Tanupriya |
| author_role | author |
| dc.creator.none.fl_str_mv | Sirohi, Preeti N. Al-Wesabi, Fahd Mesfer Alshahrani, Haya Maheshwari, Piyush Agarwal, Amit Kumar Dewangan, Bhupesh Mustafa Hilal, Anwer Choudhury, Tanupriya |
| dc.date.none.fl_str_mv | 2021 2025-08-12T16:55:17Z |
| dc.identifier.none.fl_str_mv | https://bspace.buid.ac.ae/handle/1234/3292 |
| dc.language.none.fl_str_mv | en |
| dc.title.none.fl_str_mv | Energy-Efficient Cloud Service Selection and Recommendation Based on QoS for Sustainable Smart Cities |
| dc.type.none.fl_str_mv | Article |
| description | The growing demand for cloud technology brings several cloud service providers and their diverse list of services in the market, putting a challenge for the user to select the best service from the inventory of available services. Therefore, a system that understands the user requirements and finds a suitable service according to user-customized requirements is a challenge. In this paper, we propose a new cloud service selection and recommendation system (CS-SR) for finding the optimal service by considering the user’s customized requirements. In addition, the service selection and recommendation system will consider both quantitative and qualitative quality of service (QoS) attributes in service selection. The comparison is made between proposed CS-SR with three existing approaches analytical hierarchy process (A.H.P.), efficient non-dominated sorting-sequential search (ENS-SS), and best-worst method (B.W.M.) shows that CR-SR outperforms the above approaches in two ways (i) reduce the total execution time and (ii) energy consumption to find the best service for the user. The proposed cloud service selection mechanism facilitates reduced energy consumption at cloud servers, thereby reducing the overall heat emission from a cloud data center. |
| id | budr_fe3577ba3ebab3b07b403ff9953919f0 |
| language_invalid_str_mv | en |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/3292 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Energy-Efficient Cloud Service Selection and Recommendation Based on QoS for Sustainable Smart CitiesSirohi, PreetiN. Al-Wesabi, FahdMesfer Alshahrani, HayaMaheshwari, PiyushAgarwal, AmitKumar Dewangan, BhupeshMustafa Hilal, AnwerChoudhury, TanupriyaThe growing demand for cloud technology brings several cloud service providers and their diverse list of services in the market, putting a challenge for the user to select the best service from the inventory of available services. Therefore, a system that understands the user requirements and finds a suitable service according to user-customized requirements is a challenge. In this paper, we propose a new cloud service selection and recommendation system (CS-SR) for finding the optimal service by considering the user’s customized requirements. In addition, the service selection and recommendation system will consider both quantitative and qualitative quality of service (QoS) attributes in service selection. The comparison is made between proposed CS-SR with three existing approaches analytical hierarchy process (A.H.P.), efficient non-dominated sorting-sequential search (ENS-SS), and best-worst method (B.W.M.) shows that CR-SR outperforms the above approaches in two ways (i) reduce the total execution time and (ii) energy consumption to find the best service for the user. The proposed cloud service selection mechanism facilitates reduced energy consumption at cloud servers, thereby reducing the overall heat emission from a cloud data center.2025-08-12T16:55:17Z2021Articlehttps://bspace.buid.ac.ae/handle/1234/3292enoai:bspace.buid.ac.ae:1234/32922025-08-12T16:55:18Z |
| spellingShingle | Energy-Efficient Cloud Service Selection and Recommendation Based on QoS for Sustainable Smart Cities Sirohi, Preeti |
| title | Energy-Efficient Cloud Service Selection and Recommendation Based on QoS for Sustainable Smart Cities |
| title_full | Energy-Efficient Cloud Service Selection and Recommendation Based on QoS for Sustainable Smart Cities |
| title_fullStr | Energy-Efficient Cloud Service Selection and Recommendation Based on QoS for Sustainable Smart Cities |
| title_full_unstemmed | Energy-Efficient Cloud Service Selection and Recommendation Based on QoS for Sustainable Smart Cities |
| title_short | Energy-Efficient Cloud Service Selection and Recommendation Based on QoS for Sustainable Smart Cities |
| title_sort | Energy-Efficient Cloud Service Selection and Recommendation Based on QoS for Sustainable Smart Cities |
| url | https://bspace.buid.ac.ae/handle/1234/3292 |