A Combined Forecast-Based Virtual Machine Migration in Cloud Data Centers

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A combined forecast-based virtual machine migration in cloud data centers

A Combined Forecast-Based Virtual Machine Migration in Cloud Data Centers

Abstract

A combined forecast-based virtual machine migration in cloud data centers Virtualization manages the ever-increasing demand in large-scale cloud data centers for storage, computing, and networking resources efficiently. Virtualization achieves multiple resource management objectives including proactive server maintenance, load balancing, pervasive service availability, power management and virtual machine (VM) migration fault tolerance. VM migration is a resource-intensive operation because it constantly requires adequate CPU cycles, memory capacity, system cache and network bandwidth. Consequently, it adversely affects the performance of running applications and can not be completely overlooked in contemporary data centers, especially if user SLA and critical business goals are to be met. This review of existing schemes has been motivated by the lack of a comprehensive survey on VM migration schemes that covers various aspects of VM migration such as migration patterns, sequence, application performance, bandwidth optimization, and migration granularity.

System Configuration

H/W System Configuration
Speed                   : 1.1 GHz
RAM                      : 256 MB(min)
Hard Disk              : 20 GB
Floppy Drive          : 1.44 MB
Key Board             : Standard Windows Keyboard
Mouse                  : Two or Three Button Mouse
Monitor                : SVGA
S/W System Configuration

Platform                     :  cloud computing

Operating system       : Windows Xp,7,
Server                       : WAMP/Apache
Working on                : Browser Like Firefox, IE

Conclusion

The paper discussed the notion of cloud data centers, the process of A combined forecast-based virtual machine migration in cloud data centers, and thoroughly explained various VM migration schemes within cloud data centers to improve application and network performance. It analyzed current VM migration schemes based on a thematic taxonomy and highlighted the commonalities and variances between VM migration schemes based on the performance parameters selected. It also discussed the issues and challenges in existing VM migration schemes to design an optimal live VM migration scheme.