Improved Dynamic Johnson Sequencing Algorithm (DJS) in Cloud Computing Environment for Efficient Resource Scheduling for Distributed Overloading
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11518-024-5606-z.pdf
Reference49 articles.
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5. Calheiros R N, Buyya R (2013). Meeting deadlines of scientific workflows in public clouds with tasks replication. In IEEE Transactions on Parallel and Distributed Systems 25(7): 1787–179.
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