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An Intelligent Data Retrieving Technique and Safety Measures for Sustainable Cloud Computing
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Author(s): Keshav Kumar (Haldia Institute of Technology, India), Krishan Kundan Kumar (Haldia Institute of Technology, India), Ritam Chatterjee (Haldia Institute of Technology, India), Ritam Kundu (Haldia Institute of Technology, India), Santanu Koley (Haldia Institute of Technology, India)and Pinaki Pratim Acharjya (Haldia Institute of Technology, India)
Copyright: 2024
Pages: 26
Source title:
Improving Security, Privacy, and Trust in Cloud Computing
Source Author(s)/Editor(s): Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, India), Hari Mohan Pandey (Bournemouth University, UK), Amit Singhal (Raj Kumar Goel Institute of Technology, India)and Sanyam Agarwal (ACE Group of Colleges, India)
DOI: 10.4018/979-8-3693-1431-9.ch003
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Abstract
Data refers to raw facts and figures. After processing data, the information is created. Information like facts or statistics that can be recorded, stored, and analysed can be in various forms such as text, numbers, images, audio, or video. The amount of data generated every day in the data-driven world of today makes it nearly difficult to keep it all locally. Cloud services are being used by so many people and businesses to store these massive and hefty volumes of data on cloud servers. Additionally, as the need for cloud computing grows, so does the need for data recovery methods and services. The ability to recover data and information from the backup server when the primary server is down is the primary goal of recovery services and technologies. A secondary server to hold backups for the primary cloud server will be more expensive to add than the primary server itself, which is already quite expensive and time-consuming to build. The goal of this chapter is to provide realistic, cost-effective solutions to this urgent problem.
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