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RRSD: A file replication method for ensuring data reliability and reducing storage consumption in a dynamic Cloud-P2P environment

机译:RRSD:一种文件复制方法,可确保在动态Cloud-P2P环境中的数据可靠性并减少存储消耗

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Data reliability, storage consumption and load balance have been widely concerned for current dynamic cloud storage. The traditional file replication methods can obtain better load balance and high data reliability via multi-replica, but leading to huge storage consumption. Although these methods reduce storage consumption by dynamically removing redundant replicas, data reliability is not ensured enough. To deal with the problem, this paper proposes a file replication method for ensuring data reliability and reducing storage consumption in a dynamic Cloud-P2P (RRSD), aiming to minimize the number of replicas to obtain better load balance while meeting data reliability requirements. RRSD uses the method of "multiple times replica placement" and "redundant replica deletion" to achieve the goal. It adopts the centralized manner to create minimal replicas that can meet the data reliability requirement according to file's storage expectation to reduce storage consumption when a file stores on cloud. To respond to the time-varying dynamic cloud in time, this approach uses the manner of decentralized self-adaptive to dynamically create fewer replicas, and select optimal node as placement nodes to improve load balance. Meanwhile, RRSD uses a method of periodicity detection to ensure data reliability. In addition, it uses verification evaluation method to selectively remove redundant replicas to further reduce storage consumption. Extensive experiments demonstrate that RRSD has superior performance regarding load balance, data reliability and storage consumption and can deliver an improvement of 10% for load balance and reduce storage consumption by 60% while meeting data reliability requirement compared with other similar methods. (C) 2019 Published by Elsevier B.V.
机译:数据可靠性,存储消耗和负载平衡已被当前动态云存储广泛关注。传统的文件复制方法可以通过多副本获得更好的负载平衡和较高的数据可靠性,但会导致巨大的存储消耗。尽管这些方法通过动态删除冗余副本来减少存储消耗,但仍不能确保足够的数据可靠性。为了解决这个问题,本文提出了一种文件复制方法,以确保数据可靠性并减少动态Cloud-P2P(RRSD)中的存储消耗,目的是在满足数据可靠性要求的同时,最大程度地减少副本数,以获得更好的负载平衡。 RRSD使用“多次复制副本放置”和“冗余复制副本删除”的方法来实现该目标。它采用集中方式创建最小的副本,根据文件的存储期望来满足数据可靠性要求,以减少文件存储在云中时的存储消耗。为了及时响应随时间变化的动态云,该方法采用分散自适应的方式动态创建更少的副本,并选择最佳节点作为放置节点以改善负载平衡。同时,RRSD使用周期性检测方法来确保数据可靠性。此外,它使用验证评估方法来选择性地删除冗余副本,以进一步减少存储消耗。大量的实验表明,RRSD在负载平衡,数据可靠性和存储消耗方面具有卓越的性能,与其他类似方法相比,RRSD可以将负载平衡提高10%,并将存储消耗降低60%,同时满足数据可靠性要求。 (C)2019由Elsevier B.V.发布

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