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S. Akyurek and K. Salem. Adaptive Block Rearrangement Under UNIX. Software -- Practice and Experience, 27(1):1-- 23, January 1997. 11

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Improving Disk Throughput in Data-Intensive Servers - Carrera, Bianchini (2003)   (Correct)

....disk drives are frequently the most critical I O components, since disk performance is limited by mechanical delays. In order to reduce disk I O overheads, several techniques and optimizations have been proposed. This literature includes work on optimizing the scheduling of disk requests [33, 3, 17, 15], disk arrays [10, 4, 34] and optimizing disk writes using logs [23, 13, 32] Despite these techniques and optimizations, low disk throughput is still a serious problem for data intensive servers, such as Web proxies, email and news servers, multimedia servers, and database servers. An important ....

....with several blocks. 3 Related Work There have been several works on improving disk I O performance. Most of them discuss techniques that are external to the disk drive. Typical examples are techniques for improving the prefetching and caching of disk blocks [21, 6, 27] scheduling requests [3, 15], and for optimizing disk writes [13, 23, 32] Our techniques deal with read ahead (a form of prefetching) and caching of disk data, but their focus is on the disk controller cache. There are several important differences between the controller cache and other caches, such as the buffer cache, the ....

S. Akyurek and K. Salem. Adaptive Block Rearrangement Under UNIX. Software -- Practice and Experience, 27(1):1-- 23, January 1997. 11


Improving Disk Throughput in Data-Intensive Servers - Carrera, Bianchini (2002)   (Correct)

....disk drives are frequently the most critical I O components, since disk performance is limited by mechanical delays. In order to reduce disk I O overheads, several techniques and optimizations have been proposed. This literature includes work on optimizing the scheduling of disk requests [29, 2, 14, 11], disk arrays [7, 3, 30] and optimizing disk writes using logs [18, 10, 28] Despite these techniques and optimizations, disk I O is still a serious problem for data intensive servers, such as Web proxies, mail and news servers, multimedia servers, and database servers. An important reason for ....

....application in advance. 3 Related Work There have been several works on improving disk I O performance. Most of them discuss techniques that are external to the disk drive. Typical examples are techniques for improving the prefetching and caching of disk blocks [16, 4, 24] scheduling requests [2, 11], and for optimizing disk writes [10, 18, 28] Our techniques deal with read ahead (a form of prefetching) and caching of disk data, but their focus is on the disk controller cache. There are several important differences between the controller cache and other caches, such as the buffer cache, the ....

S. Akyurek and K. Salem. Adaptive Block Rearrangement Under UNIX. Software -- Practice and Experience, 27(1):1-- 23, January 1997.


The Effect of Deceptive Idleness on Disk Schedulers - Iyer   (Correct)

....Our NWCS solution adaptively determines application behaviour with respect to synchronous request issue. Understanding application behaviour in various aspects of the disk subsystem can yield signi cant bene ts, and such methods are gaining prominence. For example, adaptive block rearrangement [AS93] co locates frequently referenced blocks, thus improving seek performance. Filesystem prefetching [SSS99] is a well researched area, and for moderately regular workloads, asynchronous prefetch can hope to transparently eliminate deceptive idleness and bring about improved performance. To improve ....

Sedat Akyurek and Kenneth Salem. Adaptive block rearrangement under UNIX. In USENIX Summer, pages 307-321, 1993.


Adaptive Block Rearrangement - Akyurek, Salem (1992)   (6 citations)  Self-citation (Sedat Salem)   (Correct)

....the performance of the system and also tracing the I O requests on the disks. In this section we provide a brief description of the implemented system. We then compare the measured performance of the system with that predicted by our simulator. Additional implementation details can be found in [Akyurek 93] 6.1 Implementation The adaptive rearrangement technique can be implemented either in a device driver or in an intelligent storage controller. We have taken the former approach. Rearrangement system was implemented through modifications to the SCSI disk device driver of Sun OS 4.1.1. In ....

Akyurek, Sedat, Kenneth M. Salem, "Adaptive Block Rearrangement Under UNIX," Proceedings of the USENIX Summer 1993 Technical Conference, Cincinnati, Ohio, June 1993.


Using Data Clustering to Improve Cleaning Performance for.. - Chiang, Lee, Chang   (Correct)

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S. Akyurek and K. Salem, `Adaptive Block Rearrangement Under UNIX', Software-Practice and Experience, 27, (1), 1-23, (January 1997).

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