Name
Title | ||
|---|---|---|
On the impact of coding parameters on storage requirement of region-based fault tolerant distributed file system design |
Abstract | ||
|---|---|---|
Advances in technology have resulted in Internet-scale deployment of storage systems such as peer-to-peer storage and cloud storage, where data is distributed over multiple storage nodes in a networked environment. In these environments the storage nodes are often commodity machines and are susceptible to failure. The notion of fault domain, introduced by Microsoft Azure, captures the fault-tolerance aspects of a data center. A fault domain is defined as a set of servers all of which become inaccessible when a single fault (such as the failure of a switch or a router) occurs in the data center. As such a fault domain can be viewed as a spatially correlated or region based failure. In order to enhance reliability through redundancy, maximum distance separable (MDS) codes such as Reed-Solomon codes and (N, K) codings are utilized. In this paper we present analytical results demonstrating that the choice of the coding parameters N and K may have significant impact on storage that will be necessary to achieve reliability. We present a polynomial time algorithm for optimal storage allocation in a mesh network and we conduct extensive experimentation to evaluate the impact of the coding parameters N and K on the storage requirement to provide all region fault tolerance with varying size of the mesh and the fault region. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICCNC.2014.6785309 | Computing, Networking and Communications |
Keywords | Field | DocType |
Internet,computational complexity,computer centres,distributed databases,encoding,fault tolerant computing,network operating systems,storage management,system recovery,Internet-scale deployment,MDS codes,Microsoft Azure,Reed-Solomon codes,cloud storage,coding parameters,commodity machines,data center,fault-tolerance aspects,maximum distance separable codes,mesh network,optimal storage allocation,peer-to-peer storage,polynomial time algorithm,region based failure,region-based fault tolerant distributed file system design,spatially correlated failure,storage requirement,storage systems | Converged storage,Computer science,Fault tolerance,Redundancy (engineering),Storage violation,Distributed database,Data center,Cloud storage,Storage area network,Distributed computing | Conference |
ISSN | Citations | PageRank |
2325-2626 | 3 | 0.43 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sujogya Banerjee | 1 | 32 | 4.42 |
| Ashok Kumar Das | 2 | 2250 | 122.93 |
| Mazumder, A. | 3 | 22 | 1.77 |
| Derakhshandeh, Z. | 4 | 3 | 0.43 |