HYBRID CONSOLIDATION TECHNIQUES FOR SUSTAINABLE CLOUD COMPUTING
Abstract
This project, therefore, seeks to address lowering the energy usage of a data center with heterogeneous power awareness either in an idle server state or high-performance state using an hybridized algorithm comprising ofDynamic Voltage and Frequency Scaling (DvFs), Median Absolute Deviation and Median Utilization (MadMu), and Local Regression Minimum Utilization (LrMu).These are real-world datasets from PlanetLab, consisting of Virtual Machines (VMs), and hosts were simulated in a data center using CloudSim 3.0.3. A toolkit with preset parameters, including VM Allocation Policy and VM Selection Policy, was employed to create the cloud infrastructure and replicate key cloud environment features. The CloudSim framework was installed on Eclipse IDE 2024 and run on the Windows 10 operating system
Full-Text Access Notice
In accordance with the NERD Policy on promoting peer-reviewed publication, public access to the full text of a project, thesis or dissertation is restricted for three years, allowing the author and supervisors sufficient time to pursue peer-reviewed publication.
During this period, researchers with legitimate academic or research purposes may request authorisation directly from the author to enable NERD to release the indexed full texts of the work using the form below.