Due to the use of commodity software and hardware, crash-stop and Byzantine failures are likely to be more prevalent in today's large-scale distributed storage systems. Regenerating codes have been shown to be a more efficient way to disperse information across multiple nodes and recover crash-stop failures in the literature. In this paper, we present the design of regeneration codes in conjunction with integrity check that allows exact regeneration of failed nodes and data reconstruction in the presence of Byzantine failures. A progressive decoding mechanism is incorporated in both procedures to leverage computation performed thus far. The fault tolerance and security properties of the schemes are also analyzed
Regenerating codes are a class of recently developed codes for distributed storage that, like Reed-S...
Regenerating codes are a class of recently developed codes for distributed storage that, like Reed-S...
In the distributed storage setting introduced by Dimakis et al., B units of data are stored across n...
Today's large-scale distributed storage systems are commonly built using commodity software and hard...
Regenerating codes are a class of codes proposed for providing reliability of data and efficient rep...
Recent years have witnessed a slew of coding techniques custom designed for networked storage system...
Erasure coding techniques are used to increase the reliability of distributed storage systems while ...
In a storage system where individual storage nodes are prone to failure, the redundant storage of da...
Abstract—Erasure correcting codes are widely used to ensure data persistence in distributed storage ...
In order to guarantee data reliability in distributed storage systems, erasure codes are widely used...
In a distributed storage system, code symbols are dispersed across space in nodes or storage units a...
Regenerating codes are a class of recently developed codes for distributed storage that, like Reed-S...
Abstract — In a distributed storage system, where failure is inclined to happen at one of the storag...
Abstract—Regenerating codes are a class of recently developed codes for distributed storage that, li...
Abstract—Erasure codes are an efficient means of storing data across a network in comparison to data...
Regenerating codes are a class of recently developed codes for distributed storage that, like Reed-S...
Regenerating codes are a class of recently developed codes for distributed storage that, like Reed-S...
In the distributed storage setting introduced by Dimakis et al., B units of data are stored across n...
Today's large-scale distributed storage systems are commonly built using commodity software and hard...
Regenerating codes are a class of codes proposed for providing reliability of data and efficient rep...
Recent years have witnessed a slew of coding techniques custom designed for networked storage system...
Erasure coding techniques are used to increase the reliability of distributed storage systems while ...
In a storage system where individual storage nodes are prone to failure, the redundant storage of da...
Abstract—Erasure correcting codes are widely used to ensure data persistence in distributed storage ...
In order to guarantee data reliability in distributed storage systems, erasure codes are widely used...
In a distributed storage system, code symbols are dispersed across space in nodes or storage units a...
Regenerating codes are a class of recently developed codes for distributed storage that, like Reed-S...
Abstract — In a distributed storage system, where failure is inclined to happen at one of the storag...
Abstract—Regenerating codes are a class of recently developed codes for distributed storage that, li...
Abstract—Erasure codes are an efficient means of storing data across a network in comparison to data...
Regenerating codes are a class of recently developed codes for distributed storage that, like Reed-S...
Regenerating codes are a class of recently developed codes for distributed storage that, like Reed-S...
In the distributed storage setting introduced by Dimakis et al., B units of data are stored across n...