TY  - JOUR
T1  - An Efficient Scheduling Algorithm to Reduce the Number of
Virtual Machine Migration in Cloud Environment
AU - Khalil, Abd Sura AU - Al-Haddad, S.A. R AU - Hashim, Fazirulhisyam AU - Abdullah, Azizol B HJ AU - Yussof, Salman 
JO  - Journal of Engineering and Applied Sciences
VL  - 11
IS  - 6
SP  - 1263
EP  - 1268
PY  - 2016
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2016.1263.1268
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2016.1263.1268
KW  - assembly
KW  -manufacturing
KW  -Uncertainty estimate
KW  -tolerancing
KW  -Russia
AB  - As a result of rising demands to cloud environments, investigators are motivated to develop the system to be more profitable for the service providers and efficacious for the service’s users. One of these developments is virtualization technology which utilized to enhance the resource utilization. However, the cloud operational expenses have been gradually increasing by the increasing amount of consumed electrical energy. Thus, lowering the consumed energy is required to consolidate virtual machines dynamically to be operated on minimal physical hosts’ number utilizing live VM migration. However, using live migration can lead to various issues such as traffic congestion and security. In this study, genetic scheduling algorithm is developed to present more efficient VM assignment and hence more efficient system. The proposing mechanism is able to reduce the number of VM migration while maintaining the system efficiency.
ER  -