Abstract
With the development and popularization of cloud storage technology, cloud storage has become a main method of data storage. Aiming at the problem of large delay and low availability incurred by multiple invalid nodes in cloud storage, a new type of concurrent nodes repair scheme called Distributed-Cross Repair Solution (DCRS) is proposed. In this scheme, system repair operation is performed in replacement nodes, and all of the replacement nodes cooperatively and crossly repair data to ensure that the data blocks that are required for repairing are only transmitted once within the system. This will solve the system repair bottleneck in the traditional repair scheme and resolve the problem of large internal network throughput and other problems, which can effectively reduce the repair delay of the system. At the same time, the repair trigger mechanism is adopted in order to avoid the repair failure problem caused by the coming of additional damaged nodes during the system reparation, which increases the system’s reliability. The simulation results show that the DCRS has obvious effects in reducing system repair delay and increasing system availability.
Highlights
With the growing popularity of Internet, the amount of data in the network has begun to grow explosively [1,2]
This paper studies the repair scheme of multi-nodes failure in cloud storage
A Distributed-Cross Repair Solution (DCRS) scheme is proposed for the problem of the excessive consumption of network bandwidth and bottlenecks during system repair
Summary
With the growing popularity of Internet, the amount of data in the network has begun to grow explosively [1,2]. The second mechanism reduces the storage cost, but the larger network throughput incurred in the process of data reparation causes an increase in the system’s data reparation delay. Based on the consideration of storage cost, concurrency, and Input/Output (I/O) capability, cloud storage uses the erasure codes-based tolerant mechanism to store cold data, while the hot data with high access frequency uses the multiple replicas-based tolerant mechanism. The main mechanism that is used in cloud storage is the first mechanism, and how to reduce the network throughput and the repair delay becomes a difficulty in the erasure codes-based tolerant mechanism in data storage. According to the above-mentioned characteristics of the array codes, this paper proposes a distributed cross-repair scheme based on the generalized RDP codes, and optimizes the data repair delay [15] and the system availability [16].
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