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- W4285309574 abstract "Cloud computing, hurriedly, has become an essential platform for many scientific applications. In the domain, many existing works have been developed for optimizing the parameters from the quality of service (QoS) of the cloud system. However, effective workflow allocation with security requirements is emerging as a challenging issue in the cloud system. Consequently, security requirements satisfaction also becomes an essential in the mapping of workflow tasks having high priorities onto the virtual machines. Hence, secure and efficient workflow tasks execution entertaining their priorities are the need of the hours. In this chapter, a Security Prioritized Heterogeneous Earliest Finish Time (SPHEFT) algorithm has been proposed to optimize the security overhead and guarantee ratio of the workflow tasks in cloud system. Here, SPHEFT offers higher priorities to the tasks having more security requirements and, therefore, assigned on the more reliable virtual machines. In experimental evaluation, SPHEFT is compared with the standard HEFT algorithm for varying set of tasks. The experimental results show that SPHEFT has better performance on security overhead and more excellent efficiencies on improving the tasks guarantee ratio." @default.
- W4285309574 created "2022-07-14" @default.
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- W4285309574 date "2022-01-01" @default.
- W4285309574 modified "2023-10-11" @default.
- W4285309574 title "Security Prioritized Heterogeneous Earliest Finish Time Workflow Allocation Algorithm for Cloud Computing" @default.
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- W4285309574 doi "https://doi.org/10.1007/978-981-16-9416-5_17" @default.
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