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- W2563485447 abstract "The best way to execute big files in better performance and short times while the available resources on the core server is the new technique called offloading in cloud computing. However, the offloading technique is not the right place to execute, so it is much better to execute files on the node in some cases. In this issue there is a trade-off, while the power limitation in the local node, so in this paper an innovative algorithm is proposed based on the file size. So in this issue the file size is measured and after that the decision is taken for the execution file, if is it locally on the node, or offloading by sending the file to the core cloud. The most important issue is to preserve time while the performing file. However, the second and important issue especially for the small nodes, is to preserve the energy limitation for big files, because of the power consumption is very high. The cost of the power consumption, execution time, and file size for the core cloud, and local node is calculated to denote an input to the execution decision." @default.
- W2563485447 created "2017-01-06" @default.
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- W2563485447 date "2016-01-01" @default.
- W2563485447 modified "2023-09-27" @default.
- W2563485447 title "Efficient Energy and Processes Time Algorithm for Offloading Using Cloud Computing" @default.
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- W2563485447 doi "https://doi.org/10.1007/978-3-319-51064-4_29" @default.
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