Abstract
Cloud computing offers a large amount of services as well as storage space over the Internet to a large number of customers. One of the services offered by the cloud is data as a service. Often, cloud computing is dealt with the challenge of managing data and also improving the availability of data. To ensure data availability and manage storage space, the concept of data replication has been used in this work. With the help of data replication technique, multiple copies of a data are created and distributed over geographically distributed sites. In this work, a delayed replica creation scheme based on dynamic threshold is designed and employed for creating replicas. Replication is done for the data based on its relative importance with other data. With the help of this work, the authors are able to improve the response time of accessing the data from a particular site and also reduce the cost involved in data access.
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Dabas, C., Aggarwal, J. (2019). Delayed Replication Algorithm with Dynamic Threshold for Cloud Datacenters. In: Mishra, S., Sood, Y., Tomar, A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-13-6772-4_54
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DOI: https://doi.org/10.1007/978-981-13-6772-4_54
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