Adaptive consistency models in the cloud: review and comparative study

Abstract

NoSQL storage systems are used extensively by Web applications and provide an attractive alternative to conventional databases due to their high security and availability with a low cost. High data availability is achieved by replicating data in different servers in order to reduce access time lag, network bandwidth consumption and system unreliability. In this context, one major challenge is data consistency. In one hand, strong consistency guarantees data freshness but affects directly the performance and availability of the system. In the other hand, weaker consistency enhances availability and performance but increases data staleness. Therefore, an adaptive consistency strategy is needed to tune, during runtime, the consistency level depending on the criticality of the requests or data items. Although there is a rich literature on adaptive consistency approaches in cloud storage, there is a need to classify as well as regroup the approaches based on their strategies. This paper will establish a set of comparative criteria and then make a comparative analysis of existing adaptive consistency approaches. A survey of this kind gives an insight to the user/researcher about not only a comparative analysis of performance of approaches but also suggests suitability of these approaches for candidate cloud systems