A self-adaptive conflict resolution with flexible consistency guarantee in the cloud computing

As cloud computing is becoming increasingly popular, cloud storage services attract more attentions for their high security and availability with a low cost. One way to provide availability and scalability is by the use of replication, which places multiple copies of the data in different servers in order to survive to server failures(availability) and to distribute the request load (scalability). On the other hand, the existence of multiple data replicas introduces a challenge which is how to maintain replicas consistent. Initially we proposed in this paper a model based on an optimistic approach using versions of vectors between the replicas to manage the consistency of replicas. In a second step we improved the approach proposed by the integration of a convergence mechanism and conflict resolution between the replicas that suits the Clouds Computing. This mechanism is based on the different forms of negotiation between Local Consistency Service (LCS). We made the modeling and formulation of the proposed model. We also evaluated the performance of this model. The results obtained by the simulation show the effectiveness of our approach in term of execution time and masking divergence and incompatibility situations.