Papers by Ankita Srivastava
International Journal of Swarm Intelligence Research
With the rising demands for the services provided by cloud computing, virtual machine allocation ... more With the rising demands for the services provided by cloud computing, virtual machine allocation (VMA) has become a tedious task due to the dynamic nature of the cloud. Millions of virtual machines (VMs) are allocated and de-allocated at every instant, so an efficient VMA has been a significant concern to enhance resource utilization and depreciate its wastage. Encouraged by the prodigious performance of the nature-inspired algorithm, the binary whale optimization approach has been eventuated to get to grips with the VMA issue with the focus on minimizing the resource waste and volume of servers working actively. The deliberate approach's accomplishment is assessed against the literature's well-known algorithms for VMA issues. The comparison results showed that the least resource wastage fitness of 15.68, minimum active servers of 216, and effective CPU and memory utilization of 88.31% and 88.79%, respectively, have been achieved.
Cloud computing is the new paradigm that has come into existence because of the tremendous demand... more Cloud computing is the new paradigm that has come into existence because of the tremendous demand for computing facilities. It offers services "pay as you go" which not only has attracted people to take its services personally but also provides IT solutions to small and large-scale industries. Resources are the basic components of cloud computing. The management of these resources has become a very challenging task for cloud providers. Significant research has been done in this field whose main objective deals with the effective management of resources. Various Resource Management (RM) techniques are designed which tackle the different parameters. This paper gives a detailed description of RM and the latest research conducted in this field has been elaborated. It provides a comprehensive review of RM techniques based on distinct parameters. It discusses the various evaluation parameters which are being used in the discussed techniques. Moreover, it presents the challenges existing in this field which needs the kind consideration of the researchers.
Cloud computing is the new paradigm that has come into existence because of the tremendous demand... more Cloud computing is the new paradigm that has come into existence because of the tremendous demand for computing facilities. It offers services "pay as you go" which not only has attracted people to take its services personally but also provides IT solutions to small and large-scale industries. Resources are the basic components of cloud computing. The management of these resources has become a very challenging task for cloud providers. Significant research has been done in this field whose main objective deals with the effective management of resources. Various Resource Management (RM) techniques are designed which tackle the different parameters. This paper gives a detailed description of RM and the latest research conducted in this field has been elaborated. It provides a comprehensive review of RM techniques based on distinct parameters. It discusses the various evaluation parameters which are being used in the discussed techniques. Moreover, it presents the challenges existing in this field which needs the kind consideration of the researchers.
IGI Global, 2023
With the rising demands for the services provided by cloud computing, virtual machine allocation ... more With the rising demands for the services provided by cloud computing, virtual machine allocation (VMA) has become a tedious task due to the dynamic nature of the cloud. Millions of virtual machines (VMs) are allocated and de-allocated at every instant, so an efficient VMA has been a significant concern to enhance resource utilization and depreciate its wastage. Encouraged by the prodigious performance of the nature-inspired algorithm, the binary whale optimization approach has been eventuated to get to grips with the VMA issue with the focus on minimizing the resource waste and volume of servers working actively. The deliberate approach's accomplishment is assessed against the literature's well-known algorithms for VMA issues. The comparison results showed that the least resource wastage fitness of 15.68, minimum active servers of 216, and effective CPU and memory utilization of 88.31% and 88.79%, respectively, have been achieved.
Uploads
Papers by Ankita Srivastava