194 mutations met the two following criteria: i) they were shown to be somatic in the literature and/or ii) they were present in the COSMIC database. The database bellow contains additional information MDV3100 about the type of cancer/s mutations are associated with. For the 120 SNPs, the criteria were as follows: i) they were shown to be in the germline in the literature and/or ii) they were present in the dbSNP database, with known frequency in the general population.Click here for additional data file.(120K, pdf)Conflict of InterestsThe authors declare that there is no conflict of interests regarding the publication of this paper.AcknowledgmentsThis research is funded by the Ministry of Education, Science and Technological Development of the Republic of Serbia (Grant no. 173001).
The authors acknowledge COST Action BM0801 and give special thanks to Professor Ken Mills.
VM technology [1, 2], one of the most important technologies in cloud computing, is not only a way to implementing cloud computing such as infrastructure as a service (IaaS) [3] architecture but also the embody of the cloud computing idea, whereas live VM migration technology, which is widely used for the maintenance management in virtualized cloud computing data centers, is the representative of the VM technologies. When a VM needs migrating from source host to target host for some goal or several goals, generally, the migration target of a VM is chosen randomly as long as the host can accommodate it, and then one can automatically or manually move the VM to a target host.
It is obvious that the way to randomly choose a target host for a live VM migration, which some event has aroused and has more than one available target host to meet the requirements of that event, is not efficient in all respects. Therefore, a high-efficient location selection policy to migrate the migrant VMs onto the right fit hosts is necessary.Nowadays, power consumption of data centers has a huge impact on environments. Researchers have been seeking to find effective solutions to minimize power consumption of data centers while keeping the desired quality of service. On the background of low-carbon world and cloud computing era, researchers have already proposed the field of green cloud computing based on cloud computing and virtualization as well as aiming at reducing power consumption in cloud computing data centers.
There are a Entinostat large number of VMs and tasks running on the hosts of cloud data centers. Some hosts have a heavy load which has a huge impact on the service performance. And some hosts have a relatively lighter load which results in a low utilization of resources. Therefore, it is important to achieve load balancing in cloud data centers as it has covered many key respects of cloud computing data centers. In this paper, we have focused on the live VM migration policy for power saving and load balancing.
No related posts.