Abstract
Virtualization-based cloud computing platforms allow mul- tiple virtual machines (VMs) running on the same physical machine. Efficient allocation of limited underlying resources has been a key is- sue.This paper presents a workload-aware CPU resources scheduling method (WARS). WARS uses the allocated credits and consumed cred- its to diagnose the CPU resources requirements of VMs and dynamical- ly adjusts CPU resources according to the requirements of VMs. The adjustment of CPU resources is converted into increased or decreased weights of VMs.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
