Systematic Approaches to Data Placement, Replication and Migration in Heterogeneous Edge-Cloud Computing Systems: A Comprehensive Literature Review

Abstract

The advent of Online Social Networks (OSNs) and the Internet-of-Things (IoT) has catalyzed an unprecedented surge in data generation at smart device endpoints. This phenomenon necessitates robust strategies for efficient data distribution and processing on data servers. Furthermore, the burgeoning volume of data intensifies challenges associated with data placement, replication, and migration in edge-cloud computing paradigms. Considerations such as access delay, cost implications, workload balance, and data security become critical parameters in the storage and processing of data from OSNs and IoT devices. Researchers have proposed various strategies to optimize data placement costs, access latency, migration costs, and load balancing constraints. This paper presents an extensive survey on the existing strategies for data placement, data replication, and data migration. The future research directions in edge-cloud computing informed by this survey are also delineated herein.