A cloud-based conceptual framework for multi-objective virtual machine scheduling using whale optimization algorithm
Virtual machine scheduling in the cloud is considered one of the major issue to solve optimal resource allocation problem on the heterogeneous datacenters. With respect to that, the key concern is to map the virtual machines (VMs) with physical machines (PMs) in a way that maximum resource utilizati...
Saved in:
Main Authors: | Abd. Latiff, Muhammad Shafie, Rana, Nadim, Abdulhamid, Shafi'i Muhammad |
---|---|
Format: | Article |
Published: |
International Journal of Innovative Computing
2018
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/82186/ https://doi.org/10.11113/ijic.v8n3.199 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments
by: Rana, Nadim, et al.
Published: (2020) -
Multi-objective-oriented cuckoo search optimization-based resource scheduling algorithm for clouds
by: Madni, Syed Hamid Hussain, et al.
Published: (2019) -
Scheduling techniques in on-demand grid as a service cloud: a review
by: Abd. Latiff, Muhammad Shafie, et al.
Published: (2014) -
Tasks scheduling technique using league championship algorithm for makespan minimization in IaaS cloud
by: Abdulhamid, Shafi’i Muhammad, et al.
Published: (2014) -
An efficient symbiotic organisms search algorithm with chaotic optimization strategy for multi-objective task scheduling problems in cloud computing environment
by: Abdullahi, Mohammed, et al.
Published: (2019)