Heuristic-Driven Approach for Efficient Workflow Scheduling in Infrastructure as a Service Using Hybrid Optimization Algorithms
The recent trend of Infrastructure as a Service is a service that provides IT components, like computing and storage, on a pay-as-you-go basis over the web. Today, IaaS has endless applications related to the businesses using it. After conducting a contextual analysis, we note that organizations hav...
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MDPI AG
2023-12-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/59/1/77 |
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| author | Sarvesh Kumar Anubha Jain Astha Pareek |
| author_facet | Sarvesh Kumar Anubha Jain Astha Pareek |
| author_sort | Sarvesh Kumar |
| collection | DOAJ |
| description | The recent trend of Infrastructure as a Service is a service that provides IT components, like computing and storage, on a pay-as-you-go basis over the web. Today, IaaS has endless applications related to the businesses using it. After conducting a contextual analysis, we note that organizations have moved most of their activities to the cloud. For the most part, this implies that they presently use Software as a Service (SaaS) applications rather than authorized on-prem applications and that they have moved their restrictive programming and frameworks from a server farm to IaaS providers. For years, cloud experts have discussed whether there is truly such an amazing concept as a confidential cloud in IaaS, that is, an on-premises cloud in the client’s server farm. IaaS has undergone an extensive transformation from conventional equipment server farms to a virtualized and cloud-based framework. By eliminating the connection between equipment and working programs and middleware, companies found that they could scale data requirements rapidly and effectively to fulfill their responsibilities. To utilize IaaS, a business can buy a particular resource from a cloud computing supplier to reorganize its computing framework so clients can concentrate on tasks like acquiring and overseeing their own computer programs. This involves incorporating things like computer servers, applications for websites, and versatile gadgets. Along these lines, an enterprise can organize its own equipment infrastructure while having the required assets to carry out a plan of action. |
| format | Article |
| id | doaj-art-7a6d0b0add6147beb6d7c223486ee9b8 |
| institution | OA Journals |
| issn | 2673-4591 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-7a6d0b0add6147beb6d7c223486ee9b82025-08-20T02:11:01ZengMDPI AGEngineering Proceedings2673-45912023-12-015917710.3390/engproc2023059077Heuristic-Driven Approach for Efficient Workflow Scheduling in Infrastructure as a Service Using Hybrid Optimization AlgorithmsSarvesh Kumar0Anubha Jain1Astha Pareek2Department of Computer Science & IT, IIS (Deemed to Be University), Jaipur 302020, IndiaDepartment of Computer Science & IT, IIS (Deemed to Be University), Jaipur 302020, IndiaDepartment of Computer Science & IT, IIS (Deemed to Be University), Jaipur 302020, IndiaThe recent trend of Infrastructure as a Service is a service that provides IT components, like computing and storage, on a pay-as-you-go basis over the web. Today, IaaS has endless applications related to the businesses using it. After conducting a contextual analysis, we note that organizations have moved most of their activities to the cloud. For the most part, this implies that they presently use Software as a Service (SaaS) applications rather than authorized on-prem applications and that they have moved their restrictive programming and frameworks from a server farm to IaaS providers. For years, cloud experts have discussed whether there is truly such an amazing concept as a confidential cloud in IaaS, that is, an on-premises cloud in the client’s server farm. IaaS has undergone an extensive transformation from conventional equipment server farms to a virtualized and cloud-based framework. By eliminating the connection between equipment and working programs and middleware, companies found that they could scale data requirements rapidly and effectively to fulfill their responsibilities. To utilize IaaS, a business can buy a particular resource from a cloud computing supplier to reorganize its computing framework so clients can concentrate on tasks like acquiring and overseeing their own computer programs. This involves incorporating things like computer servers, applications for websites, and versatile gadgets. Along these lines, an enterprise can organize its own equipment infrastructure while having the required assets to carry out a plan of action.https://www.mdpi.com/2673-4591/59/1/77cloud datacentercloud parameterssecurity systemcloud componentsecurity parameterscloud datastores |
| spellingShingle | Sarvesh Kumar Anubha Jain Astha Pareek Heuristic-Driven Approach for Efficient Workflow Scheduling in Infrastructure as a Service Using Hybrid Optimization Algorithms Engineering Proceedings cloud datacenter cloud parameters security system cloud component security parameters cloud datastores |
| title | Heuristic-Driven Approach for Efficient Workflow Scheduling in Infrastructure as a Service Using Hybrid Optimization Algorithms |
| title_full | Heuristic-Driven Approach for Efficient Workflow Scheduling in Infrastructure as a Service Using Hybrid Optimization Algorithms |
| title_fullStr | Heuristic-Driven Approach for Efficient Workflow Scheduling in Infrastructure as a Service Using Hybrid Optimization Algorithms |
| title_full_unstemmed | Heuristic-Driven Approach for Efficient Workflow Scheduling in Infrastructure as a Service Using Hybrid Optimization Algorithms |
| title_short | Heuristic-Driven Approach for Efficient Workflow Scheduling in Infrastructure as a Service Using Hybrid Optimization Algorithms |
| title_sort | heuristic driven approach for efficient workflow scheduling in infrastructure as a service using hybrid optimization algorithms |
| topic | cloud datacenter cloud parameters security system cloud component security parameters cloud datastores |
| url | https://www.mdpi.com/2673-4591/59/1/77 |
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