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Ramanan, M.
- Maintaining the Data Integrity and Data Replication in Cloud using Modified Genetic Algorithm (Mga) and Greedy Search Algorithm (Gsa)
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Authors
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1 Department of Physical Sciences and IT,Agricultural Engineering College and Research Institute, Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, IN
1 Department of Physical Sciences and IT,Agricultural Engineering College and Research Institute, Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, IN
Source
Oriental Journal of Computer Science and Technology, Vol 13, No 2,3 (2020), Pagination: 82-90Abstract
Cloud computing is now most widely used platform to store and access data globally. Data Integrity is an important aspect which ensures the quality of the data stored in the cloud and maintaining integrity is a challenging task. Data Replication is the key factor which maintains replication of data stored in the cloud. The integrity of data will be affected by various factors like intruders, data corruption and suspicious entities posing threat to data in cloud. The prevailing data replication methods are not able to handle dynamically changing large volume of data and obtaining additional storage resources for creation of replicas. Owing to several security threats existing incloud, an effective mechanism is needed to audit the integrity of data. In this paper, approaches for maintaining the integrity of data and data replication are proposed to improve the service quality of the Cloud Provider. The MGA and GSA approaches are based on deterministic approach for finding near optimal solution. Both MGA and GSA methods reduces the lag in managing the remote data by storing the data closer to the applications.Keywords
Cloud Computing; Data Integrity; Data Integrity; Data Replication; Modified Genetic Algorithm (Mga); Greedy Search Algorithm (Gsa).Full Text
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