Using Ideal Time Horizon for Energy Cost Determination
DOI:
https://doi.org/10.52866/ijcsm.2021.02.01.002Keywords:
Energy Saving; Cloud Computing; Cost DeterminationAbstract
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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Copyright (c) 2021 Raed Abdulkareem Hasan, Hadeel W. Abdulwahid, Arwa Sahib Abdalzahra
This work is licensed under a Creative Commons Attribution 4.0 International License.