Data Migration Need, Strategy, Challenges, Methodology, Categories, Risks, Uses with Cloud Computing, and Improvements in Its Using with Cloud Using Suggested Proposed Model (DMig 1)
Data Migration is a multi-step process that begins with analyzing old
data and culminates in data uploading and reconciliation in new applications.
With the rapid growth of data, organizations constantly need to migrate data.
Data migration can be a complex process as testing must be done to ensure data
quality. Migration also can be very costly if best practices are not followed
and hidden costs are not identified in the early stage. On the
other hand, many organizations today instead of buying IT equipment (hardware and/or
software) and managing it themselves, they prefer to buy services from IT
service providers. The number of service providers is increasing dramatically
and the cloud is becoming the preferred tool for more cloud storage services.
However, as more information and personal data are transferred to the cloud, to
social media sites, DropBox, Baidu WangPan, etc., data security and privacy
issues are questioned. So, academia and industry circles strive to find an
effective way to secure data migration in the cloud. Various resolving methods
and encryption techniques have been implemented. In this work, we will try to
cover many important points in data migration as Strategy, Challenges, Need,
methodology, Categories, Risks, and Uses with Cloud computing. Finally, we
discuss data migration security and privacy challenge and how to solve this
problem by making improvements in it’s using with Cloud through suggested
proposed model that enhances data security and privacy by gathering Advanced
Encryption Standard-256 (ATS256), Data Dispersion Algorithms and Secure Hash
Algorithm-512. This model achieves verifiable security ratings and fast
execution times.
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