English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Dynamics Virtual Machine management (VM) is a solution for reducing the huge resource and energy usage problems in the cloud data center. By managing the VM usage, it can decrease the operating cost and mitigate the spread of carbon dioxide (CO2) into the environment. This research presents the used of Fuzzy C-Means clustering to select VM in an overloaded host and distributes it into another available host. The proposed method was implemented in workloads dataset which provided by CloudSim PlanetLab. From evaluation process, the proposed method can produce better performance in reducing energy consumption, especially using four clusters in Heterogen workload comparing with other VM selection techniques such as Random Choice and Minimum Time Migration with reduction percentages are 9.34% and 3.89% respectively. This evaluation result denoted that our proposed method has better performance in reducing EC in the cloud data center.

Migrating Virtual Machine in Heterogen and Homogen Cloud Data Center with Efficient Electricity Consumption Using Fuzzy C-meams