Storage hierarchies

Cohen, Edward I.; King, G. M.; Brady, J.

doi:10.1147/sj.281.0062

“…Such transparency hides the complex storage management from the applications and enables on-the-fly reconfiguration of resources, such as online data migration. The actual physical storage model may employ a hierarchical structure [5]. Each layer in the hierarchy contains a pool of identical storage devices, called storage pool.…”

Section: Storage Architecturementioning

confidence: 99%

PULSATINGSTORE: An Analytic Framework for Automated Storage Management

Qiao

¹

,

Agrawal

²

,

Abbadi

³

et al. 2005

21st International Conference on Data Engineering Workshops (ICDEW'05)

2

0

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“…Extended memory is used in IBM 3090 mainframe computers as a volatile main memory extension [CKB89]. In contrast to disk caches and SSDs, this so-called expanded storage (ES) has no channeloriented interface but is largely managed by software in the operating system (MVS, VM).…”

Section: Extended Storage Architecturesmentioning

confidence: 99%

Performance evaluation of extended storage architectures for transaction processing

Rahm

¹

1992

Proceedings of the 1992 ACM SIGMOD International Conference on Management of Data

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The use of non-volatile semiconductor memory within an extended storage hierarchy promises significant performance improvements for transaction processing. Although page-addressable semiconductor memories like extended memory, solid-state disks and disk caches are commercially available since several years, no detailed investigation of their use for transaction processing has been performed so far. We present a comprehensive simulation study that compares the performance of these storage types and of different usage forms. The following usage forms are considered: allocation of entire log and database files in non-volatile semiconductor memory, using a so-called write buffer to perform disk writes asynchronously, and caching of database pages at intermediate storage levels (in addition to main memory caching). Our simulations are conducted with both synthetically generated workloads and traces from real-life database applications. In particular, simulation results will be presented for the debit-credit workload frequently used in transaction processing benchmarks.As expected, the greatest performance improvements (but at the highest cost) can be achieved by storing log and database files completely in non-volatile semiconductor memory. For update-intensive workloads, a limited amount of non-volatile memory used as a write buffer also proved to be very effective. To reduce the number of disk reads; caching of database pages in addition to main memory is best supported by an extended memory buffer. In this respect, disk caches are found to be less effective as they are designed for one-level caching. Different storage costs suggest that it may be cost-effective to use two or even three of the intermediate storage types together. The performance improvements obtainable by the use of non-volatile semiconductor memory is also found to reduce the need for sophisticated DBMS buffer management in order to achieve high transaction processing performance.

show abstract

“…Extended memory is used in IBM 3090 mainframe computers as a volatile main memory extension [CKB89]. In contrast to disk caches and SSDS, this so-called expanded storage (ES) has no channel-oriented interface but is largely managed by software in the operating system (MVS, VM 3" Not all combinations that could be chosen are meaningful.…”

Section: Extended Storage Architecturesmentioning

confidence: 99%

Performance evaluation of extended storage architectures for transaction processing

Rahm

¹

1992

SIGMOD Rec.

2

0

View full text Add to dashboard Cite

The use of non-volatile semiconductor memory within an extended storage hierarchy promises significant performance improvements for transaction processing. Although page-addressable semiconductor memories like extended memory, solid-state disks and disk caches are commercially available since several years, no detailed investigation of their use for transaction processing has been performed so far. We present a comprehensive simulation study that compares the performance of these storage types and of different usage forms. The following usage forms are considered: allocation of entire log and database files in non-volatile semiconductor memory, using a so-called write buffer to perform disk writes asynchronously, and caching of database pages at intermediate storage levels (in addition to main memory caching). Our simulations are conducted with both synthetically generated workloads and traces from real-life database applications. In particular, simulation results will be presented for the debit-credit workload frequently used in transaction processing benchmarks.As expected, the greatest performance improvements (but at the highest cost) can be achieved by storing log and database files completely in non-volatile semiconductor memory. For update-intensive workloads, a limited amount of non-volatile memory used as a write buffer also proved to be very effective. To reduce the number of disk reads; caching of database pages in addition to main memory is best supported by an extended memory buffer. In this respect, disk caches are found to be less effective as they are designed for one-level caching. Different storage costs suggest that it may be cost-effective to use two or even three of the intermediate storage types together. The performance improvements obtainable by the use of non-volatile semiconductor memory is also found to reduce the need for sophisticated DBMS buffer management in order to achieve high transaction processing performance.

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Storage hierarchies

Cited by 37 publications

References 2 publications

PULSATINGSTORE: An Analytic Framework for Automated Storage Management

PULSATINGSTORE: An Analytic Framework for Automated Storage Management

Performance evaluation of extended storage architectures for transaction processing

Performance evaluation of extended storage architectures for transaction processing

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