خلاصة:
Internet, since the beginning of its work, has undergone many changes one
of the latest changes is how the internet cloud computing. New technologies
cloud computing offers because of features all kinds of facilities to the users
as a service. Each evolution, change and novel concept in the world of
technologies has its own problems and complications. Accordingly,
benefiting from cloud computing is no exception to this rule and it has
challenged researchers and proponents in this research domain. Indeed, some
major challenges in cloud computing are: load balancing, safety, reliability,
ownership, data backup, data portability and supporting several platforms.
One challenge for such matters in the field of cloud computing is load
balancing optimization in the cloud. The so-called cloud computing,
including virtualization, distributed computing, networking, software and
Web services. With respect to the ever increasing significance of load
balancing in cloud computing the researchers in this paper intended to
improve load balancing by using a novel method. The related studies were
reviewed, evaluated and compared with each other. The efficiency of the
proposed method was analyzed and compared with those of other studies.
The results of the present study revealed that the proposed method is better
than other dynamic virtual machine (VM) consolidation algorithms in terms
of reducing SLA (service levels agreement) violation and the amount of
transmitted data volume transmission has to present a better performance
than other methods.
ملخص الجهاز:
"The results of the present study revealed that the proposed method is better than other dynamic virtual machine (VM) consolidation algorithms in terms of reducing SLA (service levels agreement) violation and the amount of transmitted data volume transmission has to present a better performance than other methods.
In the second step, in the UMC algorithm,In this equation, s Î R + standsfor the assurance parameter for selecting a new host for the virtual machine i, a hostand tm refers to the maximum required time for conducting a migration in the host.
Algorithm (4-5) : Finding a candidate host for virtual machines Input: virtual machine (VM) Output: candidate host list Cloud computing service providers face a trade-off between power and efficiency (improvement of equitable relation along with SLA reduction).
The results of the present study revealed that the proposed method is better than other dynamic VM algorithmsboth in terms of reducing SLA violation and reducing the amount of transmitted data (Fig. 3) and reduce the number migration between virtual machines for sightly finding hosts (Fig. 4) that Performance is better than other algorithms.
Majmudar, "HTV Dynamic Load Balancing Algorithm for Virtual Machine Instances in Cloud," in Cloud and Services Computing (ISCOS), 2012International Symposium on, 2012, pp.
Samad, "Virtual machine migration implementation in load balancing for Cloud computing," in Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on, 2014, pp.
Sun, "Load-based controlling scheme of virtual machine migration," in Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on, 2012, vol."