Joint Minimization Of Energy Costs From Computing, Data Transmission, And Migrations In Cloud Data Centers
[Full Text]
AUTHOR(S)
Harikrishna Pydi, T.Pavan Surya, K.Akhil Kumar, Y.B.Manishankar
KEYWORDS
load balancing, energy costs, migrations, transfer, virtual machines, server consolidation.
ABSTRACT
We propose a new model for the allocation of Virtual Elements (VEs), called JCDME, with theobjective of reducing energy consumption in a Software-Defined Cloud Data Center (SDDC). More in depth, they model the energy consumption by taking into account the VEs processing costs on thephysical servers, the cost of migrating VEs across the servers, and the cost of transferring data betweenVEs.Additionally, JCDME adds a weight variable to prevent too many VE migrations. Specifically, weare proposing three different strategies for solving the JCDME problem with an automated and adaptiveweight parameter measurement for the price of the VE migration.
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