Context-aware prefetching at the storage server Export

@inproceedings{citeulike:3328743, abstract = {In many of today's applications, access to storage constitutes the major cost of processing a user request. Data prefetching has been used to alleviate the storage access latency. Under current prefetching techniques, the storage system prefetches a batch of blocks upon detecting an access pattern. However, the high level of concurrency in today's applications typically leads to interleaved block accesses, which makes detecting an access pattern a very challenging problem. Towards this, we propose and evaluate QuickMine, a novel, lightweight and minimally intrusive method for contextaware prefetching. Under QuickMine, we capture application contexts, such as a transaction or query, and leverage them for context-aware prediction and improved prefetching effectiveness in the storage cache.}, address = {Berkeley, CA, USA}, author = {Soundararajan, Gokul and Mihailescu, Madalin and Amza, Cristiana}, booktitle = {ATC'08: USENIX 2008 Annual Technical Conference on Annual Technical Conference}, citeulike-article-id = {3328743}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1404014.1404045}, keywords = {disk, prefetch}, location = {Boston, Massachusetts}, pages = {377--390}, posted-at = {2008-09-24 17:59:15}, priority = {2}, publisher = {USENIX Association}, title = {Context-aware prefetching at the storage server}, url = {http://portal.acm.org/citation.cfm?id=1404014.1404045}, year = {2008} }

TY - CONF ID - citeulike:3328743 L3 - citeulike-article-id:3328743 N2 - In many of today's applications, access to storage constitutes the major cost of processing a user request. Data prefetching has been used to alleviate the storage access latency. Under current prefetching techniques, the storage system prefetches a batch of blocks upon detecting an access pattern. However, the high level of concurrency in today's applications typically leads to interleaved block accesses, which makes detecting an access pattern a very challenging problem. Towards this, we propose and evaluate QuickMine, a novel, lightweight and minimally intrusive method for contextaware prefetching. Under QuickMine, we capture application contexts, such as a transaction or query, and leverage them for context-aware prediction and improved prefetching effectiveness in the storage cache. CY - Boston, Massachusetts AD - Berkeley, CA, USA EP - 390 TI - Context-aware prefetching at the storage server PB - USENIX Association T2 - ATC'08: USENIX 2008 Annual Technical Conference on Annual Technical Conference SP - 377 KW - disk KW - prefetch AU - Soundararajan, Gokul AU - Mihailescu, Madalin AU - Amza, Cristiana PY - 2008/// UR - http://portal.acm.org/citation.cfm?id=1404014.1404045 ER -