Virtual Migration with the Help of Cloud Simulator to Balance the Data Load
J.Srinivasulu Reddy1, P. Supraja2
1J.Srinivasulu Reddy, PG Scholar, Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, India.
2Dr. P. Supraja, Assistant Professor, Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, India.
Manuscript received on 16 August 2019. | Revised Manuscript received on 19 August 2019. | Manuscript published on 30 September 2019. | PP: 5681-5685 | Volume-8 Issue-3 September 2019 | Retrieval Number: B2488078219/2019©BEIESP | DOI: 10.35940/ijrte.B2488.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: There are various techniques which are giving the solid issues with virtualization like the mode the type and the format of the data between the clients and services and data between services to services. This could lead the data loss and to solve this issue when virtualization the data has to be properly extracted and from the various selected extensions. So this work proposed a new framework with respect to API called personal virtualization application process interface API(PVA). This PVA is platform unspecific and can be utilized over the clouds and across the clouds with virtualization. Generally over the clouds if any data accommodation issues comes into scenario then the data migration can happen with the help of “extension dynamic creation”(EDC) of virtual machine making and data storage can happen in that new virtual machine with out any data loss. The EDC will preserve the data with out any duplication and stores in the virtualized machine. The threshold is based on the data storage capacity of the virtual machine which is allocated from cloud sim when allocation of cloudlets. The data selection process is dynamic and extraction of the solid data in the form PVA and same type of the data model will be maintained throughout the communication when virtualization happens. Now the data migration is safe when compared to the previous works which has no proper allocation of the data formats and extraction.
Index Terms: Virtualization, PVA,EDC, Dynamic, Cloud, Data Acommadation.
Scope of the Article: Software Defined Networking and Network Function Virtualization