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- W4380451300 abstract "Nowadays, cloud computing is one of the prominent tools for offering on-demand services via the Internet. It’s possible that cloud datacentres won’t always be able to provide the services that are needed during peak use times for diverse applications in e-governance. So, planning tasks through various clouds in a decentralized way for e-governance has drawn a lot of interest in recent years. This study proposes ZDSCN work scheduling methods to enhance performance. By using conventional normalizing methods, including the decimal scaling and z-score employed in data mining. The best VMs are then allocated based on similarity while taking cost into account." @default.
- W4380451300 created "2023-06-14" @default.
- W4380451300 creator A5026092545 @default.
- W4380451300 date "2023-01-01" @default.
- W4380451300 modified "2023-09-27" @default.
- W4380451300 title "Innovative Task Scheduling and Allocation Algorithm for E-Governance with Multi-cloud Environment" @default.
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- W4380451300 doi "https://doi.org/10.1007/978-981-99-0769-4_5" @default.
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