Work place: Department of Information Technology, Chandigarh Engineering College Landran, India
E-mail: pbrar67@yahoo.com
Website:
Research Interests: Computer systems and computational processes, Data Mining, Data Structures and Algorithms
Biography
Parvinder Kaur: I did my B. Tech (Information Technology) from Adesh College of Engineering and Technology, Faridkot, Punjab, India in 2012. Currently, I am pursuing M. Tech (Information Tehnology) from Chandigarh Engineering College, Landran, and Punjab, India. My interest is in Web Technologies and Web Mining.
By Parvinder Kaur Manish Mahajan
DOI: https://doi.org/10.5815/ijieeb.2015.03.07, Pub. Date: 8 May 2015
Many organizations provide computing resources or services to the client like hardware, software, storage etc. Storage is one of important service that is popular and commonly used today and it provides storage space online to store the data. Service providers give a storage space to consumers on the basis of renting criteria with a trust of high and powerful security. Consumer and organizations uses these storages to secure own personal data. There are many reasons come across that causes to move data from one place to another. Some of them are: reconstruction of storage, backup, new technologies, security etc. So, data migration, data transfer between different cloud storages, often requires. Achieving mechanism of Data migration between clouds is very difficult because of its different architecture to store data. For example Window Azure cloud storage creates a primary key name ID automatically whenever a new table is created. Architecture of cloud storage is depending upon its implementation done by corresponding cloud vendors (like Microsoft).
The main vision of this research work is to provide an intermediate service to move the data between both homogeneous and heterogeneous cloud storages. This intermediate service is a two way strategy that built in a SOA technology called WCF that helps the clients, organizations to move data between same and different cloud storages (Window Azure and Go Daddy cloud storages mainly used in this research work).
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