An Overview on Replica Consistency Methods in Distributed Systems and Future Works
Keywords: data replication, consistency, models, cloud, iot, distributed system ,
Abstract :
Nowadays, applications generate huge amounts of data, in the range of several terabytes or petabytes. This data is shared among many users around the world. Distributed systems such as grid and cloud provide a suitable platform for these applications, enabling the use of these diverse mass data applications in a distributed manner. In these systems, they use data replication to face performance problems, guarantee service quality, and increase data accessibility. Replication, despite its many advantages, also brings administrative costs. The balance between the consistency cost of replication and the benefits of replication is a hotly debated topic among researchers in this field. Therefore, paying attention to the consistency of replication plays an effective role in the efficiency of these systems. Many strategies have been proposed by researchers in the field of data replication consistency. Each of these strategies try to reduce consistency costs and provide effective solutions in this field by considering various parameters such as read rate, write rate, old data tolerance rate, number of replicas and communication bandwidth in determining the consistency levels of replicas. In this article, we will examine the concepts related to replication and replica consistency and categorize its types and review previous works in this field. The done works have been compared from the perspective of system type, decision parameters, compatibility model and improved parameters. At the end, the open issues in this field are raised.
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