Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service Optimizer
INTRODUCTION: The establishment of trusted cloud services pretends to provide high impactful service with better satisfaction to the web-users and cloud service providers. Moreover, various existing trust-aware algorithms use diverse QoS measurements and related attributes, leading to...
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2022-03-01
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| Series: | EAI Endorsed Transactions on Cloud Systems |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.19-10-2021.171468 |
| _version_ | 1811332210464129024 |
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| author | Suvarna Pawar Y. Prasanth |
| author_facet | Suvarna Pawar Y. Prasanth |
| author_sort | Suvarna Pawar |
| collection | DOAJ |
| description | INTRODUCTION: The establishment of trusted cloud services pretends to provide high impactful service with better satisfaction to the web-users and cloud service providers. Moreover, various existing trust-aware algorithms use diverse QoS measurements and related attributes, leading to the complex selection of cloud services. OBJECTIVES: Thus, this research intends to propose a Trustful-Lightweight Cloud Service Provisioning algorithm (TL-CSP) using Service Optimizer (SO). METHODS: Initially, the QoS metrics are determined by evaluating attributes based on a ranking method based on the users' requests. It is performed with the computation of weighted coefficients of received requests from the users. The service optimization is performed using a global optimizer to assist the cloud users in selecting the service with better satisfaction. RESULTS: The proposed TL-CSP accuracy is validated and compared with the existing cloud service provisioning algorithm to measure the proposed model's efficiency. CONCLUSION: The simulation is carried out in a MATLAB environment. The proposed TL-CSP intends to shows a better trade-off in contrast to prevailing approaches. |
| first_indexed | 2024-04-13T16:33:36Z |
| format | Article |
| id | doaj.art-9e84ab3985b5475bab488c7278127392 |
| institution | Directory Open Access Journal |
| issn | 2410-6895 |
| language | English |
| last_indexed | 2024-04-13T16:33:36Z |
| publishDate | 2022-03-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Cloud Systems |
| spelling | doaj.art-9e84ab3985b5475bab488c72781273922022-12-22T02:39:30ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Cloud Systems2410-68952022-03-0172110.4108/eai.19-10-2021.171468Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service OptimizerSuvarna Pawar0Y. Prasanth1Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation Vaddeswaram - 522502, Guntur District, Andhra Pradesh, IndiaDepartment of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation Vaddeswaram - 522502, Guntur District, Andhra Pradesh, IndiaINTRODUCTION: The establishment of trusted cloud services pretends to provide high impactful service with better satisfaction to the web-users and cloud service providers. Moreover, various existing trust-aware algorithms use diverse QoS measurements and related attributes, leading to the complex selection of cloud services. OBJECTIVES: Thus, this research intends to propose a Trustful-Lightweight Cloud Service Provisioning algorithm (TL-CSP) using Service Optimizer (SO). METHODS: Initially, the QoS metrics are determined by evaluating attributes based on a ranking method based on the users' requests. It is performed with the computation of weighted coefficients of received requests from the users. The service optimization is performed using a global optimizer to assist the cloud users in selecting the service with better satisfaction. RESULTS: The proposed TL-CSP accuracy is validated and compared with the existing cloud service provisioning algorithm to measure the proposed model's efficiency. CONCLUSION: The simulation is carried out in a MATLAB environment. The proposed TL-CSP intends to shows a better trade-off in contrast to prevailing approaches.https://eudl.eu/pdf/10.4108/eai.19-10-2021.171468cloud services qos trust-aware model service optimizer trustful lightweight cloud service provisioning weighted coefficients |
| spellingShingle | Suvarna Pawar Y. Prasanth Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service Optimizer EAI Endorsed Transactions on Cloud Systems cloud services qos trust-aware model service optimizer trustful lightweight cloud service provisioning weighted coefficients |
| title | Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service Optimizer |
| title_full | Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service Optimizer |
| title_fullStr | Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service Optimizer |
| title_full_unstemmed | Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service Optimizer |
| title_short | Design of an Efficient Trustful-Lightweight Cloud Service Provisioning Model using Service Optimizer |
| title_sort | design of an efficient trustful lightweight cloud service provisioning model using service optimizer |
| topic | cloud services qos trust-aware model service optimizer trustful lightweight cloud service provisioning weighted coefficients |
| url | https://eudl.eu/pdf/10.4108/eai.19-10-2021.171468 |
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