Computers RAID
نویسنده
چکیده
منابع مشابه
The Design of Large-Scale, Do-It-Yourself RAIDs
In this paper we explore the design of “Do-It-Yourself” RAIDs: RAID systems that can assembled by the end user from commercially available disks, enclosures, cables, racks, computers, and networks. We quantitatively evaluate the tradeoffs in cost, performance, and reliability of these DIY-RAID systems. Our principal result is an architecture that scales from 10s to 1000s of disks; we demonstrat...
متن کاملRAID-RMS: A fault tolerant stripped mirroring RAID architecture for distributed systems
Disk arrays, or RAIDs, have become the solution to increase the capacity, bandwidth and reliability of most storage systems. In spite of its high redundancy level, disk mirroring is a popular RAID paradigm, because replicating data also doubles the bandwidth available for processing read requests, improves the reliability and achieves fault tolerance. In this paper, we present a new RAID archit...
متن کاملExploiting redundancy to construct energy-efficient, high-performance RAIDs
Recent studies show that disk-based I/O subsystems account for a non-trivial portion of energy consumption in data-intensive environment such as storage servers and data centers. Previous powerefficient I/O solutions for a single disk drive or mobile computers cannot be applied to data-intensive environment where the I/O load is much more intensive. Current solutions seek help from multi-speed ...
متن کاملDistributed Software RAID Architectures for Parallel I/O in Serverless Clusters*
In a serverless cluster of computers, all local disks can be integrated as a distributed software RAID (ds-RAID) with a single I/O space. This paper presents the architecture and performance of a new RAID-x for building ds-RAID. Through experimentation, we evaluate the RAID-x along with RAID-5, chained-declustering, and RAID-10 architectures, all embedded in a Linux cluster environment. All fou...
متن کاملPARAID: The Gear-Shifting Power-Aware RAID
Server-class computers cannot consume power without bound, since increased energy consumption translates into increased heat dissipation, greater cooling requirements, reduced computational density, and higher operating costs. For a typical data center, storage alone accounts for 27% of the energy consumption, making storage an important target for energy reduction. Unfortunately, conventional ...
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