A Dynamic Approach for Consistency Service in Cloud and Fog Environment

Abstract

Users of data-intensive cloud and fog computing service require reliable and continuous access to very large amount of data from cloud and fog service providers. The size of data in such applications is massive. A cloud and fog use replication as a database management technique to improve availability, fault tolerance, and one of the major aims of the cloud and fog is to reduce job response time. To support such continuous data access, this paper proposes a dynamic replica consistency approach, Cloud Fog Dynamic Consistency (CFDC), which combines the advantages of the optimistic and pessimistic approaches to achieve and ensure local and global consistency service within cloud and fog systems. The proposed CFDC approach provides a suitable solution for the scale up of the cloud and fog environment to maximize the performance and quality of services of those systems.