CORE: Augmenting Regenerating-Coding-Based Recovery for Single and Concurrent Failures in Distributed Storage Systems

Data availability is critical in distributed storage systems, especially when node failures are prevalent in real life. A key requirement is to minimize the amount of data transferred among nodes when recovering the lost or unavailable data of failed nodes. This paper explores recovery solutions based on regenerating codes, which are shown to provide fault-tolerant storage and minimum recovery bandwidth. Existing optimal regenerating codes are designed for single node failures. We build a system called CORE, which augments existing optimal regenerating codes to support a general number of failures including single and concurrent failures. We theoretically show that CORE achieves the minimum possible recovery bandwidth for most cases. We implement CORE and evaluate our prototype atop a Hadoop HDFS cluster testbed with up to 20 storage nodes. We demonstrate that our CORE prototype conforms to our theoretical findings and achieves recovery bandwidth saving when compared to the conventional recovery approach based on erasure codes.Comment: 25 page

A Novel Erasure Coding Based on Reed Solomon Fault Tolerance for Cloud Based Storage

In the recent years growth in usage of Erasure codes for fault tolerance is been observed The growth in distributed storage solutions is the root cause of this growth Multiple research is been carried out to propose the optimal fault tolerance solution for distributed storage solutions However the recent storage solutions have shown a migration towards to the cloud based storage solutions The growth of cloud computing and the benefits to the customer is the core of this migrations Thus the applications managing the storage solutions have also updated with the demand Hence the recent researches are driven by the demand of optimal fault tolerance solutions Here in this work we propose an optimal erasure code based fault tolerance solution specific for cloud storage solutions The work is been considered for commercial cloud based storage solution The final outcome of this work is improvement on Bit Error Rate for the proposed Novel Erasure Coding based on Reed Solomon Fault Tolerance for Cloud based servic