1 research outputs found
Data Migration among Different Clouds
Cloud computing services are becoming more and more popular. However, the
high concentration of data and services on the clouds make them attractive
targets for various security attacks, including DoS, data theft, and privacy
attacks. Additionally, cloud providers may fail to comply with service level
agreement in terms of performance, availability, and security guarantees.
Moreover, users may choose to utilize public cloud services from multiple
vendors for various reasons including fault tolerance and availability.
Therefore, it is of paramount importance to have secure and efficient
mechanisms that enable users to transparently copy and move their data from one
provider to another. In this paper, we explore the state of the art inter cloud
migration techniques and identify the potential security threats in the scope
of Hadoop Distributed File System HDFS. We propose an inter cloud data
migration mechanism that offers better security guarantees and faster response
time for migrating large scale data files in cloud database management systems.
The proposed approach enhances the data security processes used to achieve
secure data migration between cloud nodes thus improves applications response
time and throughput. The performance of the proposed approach is validated by
measuring its impact on response time and throughput, and comparing the
performance to that of other techniques in the literature