Using ideal time horizon for energy cost determination
In most optimal VM placement algorithms, the first step to determine the proper time horizon, T for the prediction of the expected maximum future load, L. However, T is dependent on the proper knowledge of the required time for servers to switch from their initial SLEEP/ACTIVE state to the next desi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
College of Education, Al-Iraqia University
2021
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/46348/1/Using%20ideal%20time%20horizon%20for%20energy%20cost%20determination.pdf https://doi.org/10.52866/ijcsm.2021.02.01.002 https://umpir.ump.edu.my/id/eprint/46348/ |
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| Summary: | In most optimal VM placement algorithms, the first step to determine the proper time horizon, T for the prediction of the expected maximum future load, L. However, T is dependent on the proper knowledge of the required time for servers to switch from their initial SLEEP/ACTIVE state to the next desired state. The activities implemented by this policy are (a) to relocate the VM from an encumbered server, a server that operates in an undesirably high regime with applications forecasted to rise their burdens to compute in the subsequent reallocation cycles; (b) to conduct VM migration from servers that operate within the undesirable regime to shift the server to a SLEEP mode; (c) putting an idle server to SLEEP mode and rebooting the servers from the SLEEP mode at high cluster loads. A novel mechanism for forwarding arriving client desires to the utmost suitable server is implemented; thus, in the complete system, balancing the requested load is possible. |
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