Allocation of Virtual Machines to the Cloud Network Using the Barking-Deer Approach

Autor: Himadri Biswas, Priyajit Sen, Sudipta Sahana, Debabrata Sarddar
Rok vydání: 2020
Předmět:
Zdroj: SSRN Electronic Journal.
ISSN: 1556-5068
DOI: 10.2139/ssrn.3526688
Popis: The cloud network contains a number of nodes and the most powerful node is used to better run the virtual machine. Virtual machine allocation in the cloud network is a challenging task, as it is needed to find the most efficient node. We are proposing a mechanism by which we can find an efficient node to allocate a virtual machine for the execution of millions of jobs on the network. The proposed mechanism is inspired by nature. The Internet user has now been increased day by day. To this end, there are so many congestions that delivering a cloud service to the client is a challenging task. If a data centre has any kind of defective node, the cloud service would be hampered and, as a solution, this paper reflects a novel approach to finding effective nodes for assigning virtual machines to the cloud environment using "Barking-Deer Algorithm."
Databáze: OpenAIRE