360 research outputs found
A Family of Erasure Correcting Codes with Low Repair Bandwidth and Low Repair Complexity
We present the construction of a new family of erasure correcting codes for
distributed storage that yield low repair bandwidth and low repair complexity.
The construction is based on two classes of parity symbols. The primary goal of
the first class of symbols is to provide good erasure correcting capability,
while the second class facilitates node repair, reducing the repair bandwidth
and the repair complexity. We compare the proposed codes with other codes
proposed in the literature.Comment: Accepted, will appear in the proceedings of Globecom 2015 (Selected
Areas in Communications: Data Storage
Explicit MDS Codes for Optimal Repair Bandwidth
MDS codes are erasure-correcting codes that can correct the maximum number of
erasures for a given number of redundancy or parity symbols. If an MDS code has
parities and no more than erasures occur, then by transmitting all the
remaining data in the code, the original information can be recovered. However,
it was shown that in order to recover a single symbol erasure, only a fraction
of of the information needs to be transmitted. This fraction is called
the repair bandwidth (fraction). Explicit code constructions were given in
previous works. If we view each symbol in the code as a vector or a column over
some field, then the code forms a 2D array and such codes are especially widely
used in storage systems. In this paper, we address the following question:
given the length of the column , number of parities , can we construct
high-rate MDS array codes with optimal repair bandwidth of , whose code
length is as long as possible? In this paper, we give code constructions such
that the code length is .Comment: 17 page
Code Constructions for Distributed Storage With Low Repair Bandwidth and Low Repair Complexity
We present the construction of a family of erasure correcting codes for
distributed storage that achieve low repair bandwidth and complexity at the
expense of a lower fault tolerance. The construction is based on two classes of
codes, where the primary goal of the first class of codes is to provide fault
tolerance, while the second class aims at reducing the repair bandwidth and
repair complexity. The repair procedure is a two- step procedure where parts of
the failed node are repaired in the first step using the first code. The
downloaded symbols during the first step are cached in the memory and used to
repair the remaining erased data symbols at minimal additional read cost during
the second step. The first class of codes is based on MDS codes modified using
piggybacks, while the second class is designed to reduce the number of
additional symbols that need to be downloaded to repair the remaining erased
symbols. We numerically show that the proposed codes achieve better repair
bandwidth compared to MDS codes, codes constructed using piggybacks, and local
reconstruction/Pyramid codes, while a better repair complexity is achieved when
compared to MDS, Zigzag, Pyramid codes, and codes constructed using piggybacks.Comment: To appear in IEEE Transactions on Communication
Long MDS Codes for Optimal Repair Bandwidth
MDS codes are erasure-correcting codes that can
correct the maximum number of erasures given the number of
redundancy or parity symbols. If an MDS code has r parities
and no more than r erasures occur, then by transmitting all
the remaining data in the code one can recover the original
information. However, it was shown that in order to recover a
single symbol erasure, only a fraction of 1/r of the information
needs to be transmitted. This fraction is called the repair
bandwidth (fraction). Explicit code constructions were given in
previous works. If we view each symbol in the code as a vector
or a column, then the code forms a 2D array and such codes
are especially widely used in storage systems. In this paper, we
ask the following question: given the length of the column l, can
we construct high-rate MDS array codes with optimal repair
bandwidth of 1/r, whose code length is as long as possible? In
this paper, we give code constructions such that the code length
is (r + 1)log_r l
An Improved Outer Bound on the Storage-Repair-Bandwidth Tradeoff of Exact-Repair Regenerating Codes
In this paper we establish an improved outer bound on the
storage-repair-bandwidth tradeoff of regenerating codes under exact repair. The
result shows that in particular, it is not possible to construct exact-repair
regenerating codes that asymptotically achieve the tradeoff that holds for
functional repair. While this had been shown earlier by Tian for the special
case of the present result holds for general . The
new outer bound is obtained by building on the framework established earlier by
Shah et al.Comment: 14 page
- …