Strategies for replica consistency in data grid – a comprehensive survey

摘要

Data grid provides an efficient solution for data-oriented applications that need to manage and process largerndata sets located at geographically distributed storage resources. Data grid relies on data replicas to enhancernthe performance and to ensure the fault tolerant results to the users. Replicas are developed to increase thernavailability of data and to provide better data access. Replicas have their own advantages, but there are arnnumber of issues that must be resolved. Among various existing issues, the critical concern is replica consistency.rnVarious replica consistency strategies are available in the literature. These strategies rationalizernand investigate various parameters like bandwidth consumption, access cost, scalability, execution time,rnstorage consumption, staleness, and freshness of replicas. In this paper, several asynchronous replica consistenciesrnare classified and analyzed based on various strategies such as topology, level of abstraction, updaternpropagation, and locality. Some other strategies are also discussed and analyzed like adaptive consistency,rnquorum-based consistency, load balancing, and agent-based economically efficient, check-pointing, faultrntolerance, and conflict management. Parameters on which these strategies are analyzed are methodology,rnreplication classification, consistency, grid topology, environment, evaluation parameters, and performance.