Using Ideal Time Horizon for Energy Cost Determination

Authors

  • Raed Abdulkareem Hasan Faculty of Computing, College of Computing and Applied Sciences, Universiti Malaysia Pahang, MALYSIA https://orcid.org/0000-0002-6064-0048
  • Hadeel W. Abdulwahid Department of Computer Science / Islamic Azad University-South Tehran Branch, IRAN
  • Arwa Sahib Abdalzahra Department of Computer Technical Engineering / Al-Salam University College, IRAQ

DOI:

https://doi.org/10.52866/ijcsm.2021.02.01.002

Keywords:

Energy Saving; Cloud Computing; Cost Determination

Abstract

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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Published

2021-01-30

How to Cite

[1]
Raed Abdulkareem Hasan, Hadeel W. Abdulwahid, and Arwa Sahib Abdalzahra, “Using Ideal Time Horizon for Energy Cost Determination”, Iraqi Journal For Computer Science and Mathematics, vol. 2, no. 1, pp. 9–13, Jan. 2021.
CITATION
DOI: 10.52866/ijcsm.2021.02.01.002
Published: 2021-01-30

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Section

Articles