Abstract
In most optimal VM placement algorithms, the first step to determine the proper time horizon, Tfor the prediction of the expected maximum future load, L. However, T is dependent on the proper knowledge of therequired time for servers to switch from their initial SLEEP/ACTIVE state to the next desired state. The activitiesimplemented by this policy are (a) to relocate the VM from an encumbered server, a server that operates in anundesirably high regime with applications forecasted to rise their burdens to compute in the subsequent reallocationcycles; (b) to conduct VM migration from servers that operate within the undesirable regime to shift the server toa SLEEP mode; (c) putting an idle server to SLEEP mode and rebooting the servers from the SLEEP mode at highcluster 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.
Recommended Citation
Hasan, Raed Abdulkareem; Abdulwahid, Hadee W.; and Abdalzahra, Arwa Sahib
(2021)
"Using Ideal Time Horizon for Energy Cost Determination,"
Iraqi Journal for Computer Science and Mathematics: Vol. 2:
Iss.
1, Article 2.
DOI: https://doi.org/10.52866/ijcsm.2021.02.01.002
Available at:
https://ijcsm.researchcommons.org/ijcsm/vol2/iss1/2
