TY - JOUR
T1 - Novel probabilistic resource migration algorithm for cross-cloud live migration of virtual machines in public cloud
AU - Pal, Souvik
AU - Kumar, Raghvendra
AU - Son, Le Hoang
AU - Saravanan, Krishnan
AU - Abdel-Basset, Mohamed
AU - Manogaran, Gunasekaran
AU - Thong, Pham Huy
N1 - Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - In cloud computing environment, cross-cloud live migration of virtual machines (VMs) is a major concern in these days. Cloud computing provides the users with huge, versatile and on-demand access to a bulk of customizable and configurable registered physical devices or things. It helps organizations or enterprises to share data efficiently by privately owned cloud or by the third-party servers. This type of sharing of bulky data through cloud is more efficient and reliable. In an enterprise environment, one of the essential capabilities of cloud infrastructure is VM migration. VM live migration basically involves the transference of instances that includes the operating system, runtime memory pages and active CPU states from source hub to the destination hub. In this paper, we have discussed on resource allocation algorithm which performs better in utilization of CPU, time and memory. Our proposed algorithm deals with the effective utilization of unoccupied memory, and we have also measured VM memory stack flow of total memory for cloud computing architecture.
AB - In cloud computing environment, cross-cloud live migration of virtual machines (VMs) is a major concern in these days. Cloud computing provides the users with huge, versatile and on-demand access to a bulk of customizable and configurable registered physical devices or things. It helps organizations or enterprises to share data efficiently by privately owned cloud or by the third-party servers. This type of sharing of bulky data through cloud is more efficient and reliable. In an enterprise environment, one of the essential capabilities of cloud infrastructure is VM migration. VM live migration basically involves the transference of instances that includes the operating system, runtime memory pages and active CPU states from source hub to the destination hub. In this paper, we have discussed on resource allocation algorithm which performs better in utilization of CPU, time and memory. Our proposed algorithm deals with the effective utilization of unoccupied memory, and we have also measured VM memory stack flow of total memory for cloud computing architecture.
KW - Cross-cloud
KW - Virtual machines
KW - Virtual machines instance
KW - Virtualization
UR - http://www.scopus.com/inward/record.url?scp=85065674694&partnerID=8YFLogxK
U2 - 10.1007/s11227-019-02874-x
DO - 10.1007/s11227-019-02874-x
M3 - Article
AN - SCOPUS:85065674694
SN - 0920-8542
VL - 75
SP - 5848
EP - 5865
JO - Journal of Supercomputing
JF - Journal of Supercomputing
IS - 9
ER -