Enhanced Reliability Modeling of RAID Storage Systems

Elerath, J.G.; Pecht, Michael

doi:10.1109/dsn.2007.41

Cited by 77 publications

(83 citation statements)

References 16 publications

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“…The first device failure model is based on that used by Elerath and Pecht (cf. Table 2 in [6]). Disk failures are distributed according to a Weibull distribution with parameters γ = 0, η = 500000, and β = 1.12.…”

Section: Discussionmentioning

confidence: 99%

“…The specific device models used in the evaluation are based on the distributions that Elerath and Pecht used [6]. We believe that the models of Elerath and Pecht are as good as any currently available.…”

Section: Discussionmentioning

confidence: 99%

“…The High-Fidelity Reliability (HFR) Simulator [8] is similar to the simulator developed by Elerath and Pecht [6]. Both are Monte Carlo reliability simulators that simulate disk failure, disk recovery, sector failure, and sector scrubbing, and both can use Weibull distributions for such failure and recovery rates.…”

Section: Reliability Of Flat Xor-based Codesmentioning

confidence: 99%

See 2 more Smart Citations

Reliability of flat XOR-based erasure codes on heterogeneous devices

Greenan

Miller

Wylie

2008

2008 IEEE International Conference on Dependable Systems and Networks With FTCS and DCC (DSN)

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Reliability of flat XOR-based erasure codes on heterogeneous devices

Greenan

Miller

Wylie

2008

2008 IEEE International Conference on Dependable Systems and Networks With FTCS and DCC (DSN)

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“…A handful of studies focus on node-oriented availability analysis for replicated systems using Markov models (for example, [25]), whereas many disk-oriented availability models are developed for RAIDs [26], [27]. Now we describe a node-oriented model for RS-coded storage.…”

Section: Availability Analysismentioning

confidence: 99%

MFTS: A Multi-Level Fault-Tolerant Archiving Storage with Optimized Maintenance Bandwidth

Huang

Qin

Zhang

et al. 2014

IEEE Trans. Dependable and Secure Comput.

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Abstract-In this paper, we propose a multi-level fault-tolerant storage cluster called MFTS, which provides flexible reliability for a wide variety of applications. MFTS makes use of a reliability upper-bound (i.e., Parameter r) to guide the process of adjusting fault-tolerance levels, i.e., i-erasure(s) and i 2 f1; 2; . . . ; rg. In particular, MFTS can map an appropriate coding scheme to an application with individual reliability requirements. MFTS is capable of partitioning multi-level reliable storage using a virtual storage space, thereby adapting to any changing reliability demands of applications. We present the implementation of the MFTS system, which adopts an intersecting zigzag sets code (IZS code) rather than replication or general-purpose erasure codes. Our MFTS has three salient features: partial updates, fast reconstructions, and minimal overhead of fault-tolerance level transitions. To quantify performance optimization in our storage cluster, we compare IZS-enabled MFTS with two storage clusters equipped with the Vandermonde-and Cauchy-Reed-Solomon codes. The experimental results show that: 1) three schemes have comparable user-response-time performance in both the operational and degraded modes; 2) MFTS outperforms the other two alternatives by up to 26.1 percent in the offline reconstruction case; 3) MFTS speeds up the online reconstruction by up to 23.7 percent over the other two schemes with marginal increase in user response time.

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“…There are also many studies on reliability modeling for RAID systems [13], [16], [30]. However, only a few of them cover silent data corruption.…”

Section: Related Workmentioning

confidence: 99%

Zettabyte reliability with flexible end-to-end data integrity

Zhang

Myers

Arpaci-Dusseau

et al. 2013

2013 IEEE 29th Symposium on Mass Storage Systems and Technologies (MSST)

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Abstract-We introduce flexible end-to-end data integrity for storage systems, which enables each component along the I/O path (e.g., memory, disk) to alter its protection scheme to meet the performance and reliability demands of the system. We apply this new concept to Zettabyte File System (ZFS) and build ZettabyteReliable ZFS (Z 2 FS). Z 2 FS provides dynamical tradeoffs between performance and protection and offers Zettabyte Reliability, which is one undetected corruption per Zettabyte of data read. We develop an analytical framework to evaluate reliability; the protection approaches in Z 2 FS are built upon the foundations of the framework. For comparison, we implement a straightforward End-to-End ZFS (E 2 ZFS) with the same protection scheme for all components. Through analysis and experiment, we show that Z 2 FS is able to achieve better overall performance than E 2 ZFS, while still offering Zettabyte Reliability.

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Enhanced Reliability Modeling of RAID Storage Systems

Cited by 77 publications

References 16 publications

Reliability of flat XOR-based erasure codes on heterogeneous devices

Reliability of flat XOR-based erasure codes on heterogeneous devices

MFTS: A Multi-Level Fault-Tolerant Archiving Storage with Optimized Maintenance Bandwidth

Zettabyte reliability with flexible end-to-end data integrity

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