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New cloud offloading algorithm for better energy consumption and process time

ALDMOUR, Rakan, Sufian, Sufian, Yaghi, Mohammad, Tapaswi, Shashikala, Pattanaik, Kiran and Cole, Michael (2017) New cloud offloading algorithm for better energy consumption and process time. International Journal of System Assurance Engineering and Management, 8. pp. 730-733. ISSN 0976-4348

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Abstract or description

Abstract. Offloading in cloud computing is a way to execute big files in short times due to the available processing resources on core computers. However in some cases it is vital to execute the file locally on the node if the file size is less than a threshold size. There is a trade off in this issue due to the limited power of the node, therefore, in this paper a novel algorithm is proposed where the file size in each case is measured and then a decision is taken to either execute the file on the node or to send the file to be processed in the core cloud. The main reason is to save time of the execution of the file. However, the second and important reason is to save the limited node energy in some large file, where the power consumption of the node will be very high. The measurement of the file size and the execution time and the power consumption for the local node and the core cloud is measured to represent an input to the execution decision

Yousef, S., Yaghi, M., Tapaswi, S., Pattanaik, K. K. and Cole

Item Type: Article
Additional Information: This is a post-peer-review, pre-copyedit version of an article published in International Journal of System Assurance Engineering and Management. The final authenticated version is available online at:
Faculty: School of Computing and Digital Technologies > Computing
Depositing User: Rakan ALDMOUR
Date Deposited: 16 Dec 2020 11:33
Last Modified: 24 Feb 2023 14:00

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