Striping in a RAID level 5 disk array

Author:

Chen Peter M.1,Lee Edward K.2

Affiliation:

1. Computer Science Division, Electrical Engineering and Computer Science Department, University of Michigan

2. Systems Research Center, Digital Equipment Corporation

Abstract

Redundant disk arrays are an increasingly popular way to improve I/O system performance. Past research has studied how to stripe data in non-redundant (RAID Level 0) disk arrays, but none has yet been done on how to stripe data in redundant disk arrays such as RAID Level 5, or on how the choice of striping unit varies with the number of disks. Using synthetic workloads, we derive simple design rules for striping data in RAID Level 5 disk arrays given varying amounts of workload information. We then validate the synthetically derived design rules using real workload traces to show that the design rules apply well to real systems.We find no difference in the optimal striping units for RAID Level 0 and 5 for read-intensive workloads. For write-intensive workloads, in contrast, the overhead of maintaining parity causes full-stripe writes (writes that span the entire error-correction group) to be more efficient than read-modify writes or reconstruct writes. This additional factor causes the optimal striping unit for RAID Level 5 to be four times smaller for write-intensive workloads than for read-intensive workloads.We next investigate how the optimal striping unit varies with the number of disks in an array. We find that the optimal striping unit for reads in a RAID Level 5 varies inversely to the number of disks, but that the optimal striping unit for writes varies with the number of disks. Overall, we find that the optimal striping unit for workloads with an unspecified mix of reads and writes is independent of the number of disks.Together, these trends lead us to recommend (in the absence of specific workload information) that the striping unit over a wide range of RAID Level 5 disk array sizes be equal to 1/2 * average positioning time * disk transfer rate.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

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1. ESDU: An elastic stripe-based delta update method for erasure-coded cross-data center storage systems;Journal of Parallel and Distributed Computing;2022-09

2. Compression-Assisted Adaptive ECC and RAID Scattering for NAND Flash Storage Devices;Sensors;2020-05-22

3. Toward Managing HPC Burst Buffers Effectively: Draining Strategy to Regulate Bursty I/O Behavior;2017 IEEE 25th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS);2017-09

4. PHash: A memory-efficient, high-performance key-value store for large-scale data-intensive applications;Journal of Systems and Software;2017-01

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