ReCA: An Efficient Reconfigurable Cache Architecture for Storage Systems with Online Workload Characterization

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
  • Reza Salkhordeh
  • Shahriar Ebrahimi
  • Hossein Asadi
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000435352200012&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1109/TPDS.2018.2796100
eISSN
1558-2183
Externe Identifier
  • Clarivate Analytics Document Solution ID: GJ4LI
ISSN
1045-9219
Ausgabe der Veröffentlichung
7
Zeitschrift
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
Schlüsselwörter
  • Solid-state drives
  • data storage systems
  • performance
  • endurance
  • I/O caching
Paginierung
1605 - 1620
Datum der Veröffentlichung
2018
Status
Published
Titel
ReCA: An Efficient Reconfigurable Cache Architecture for Storage Systems with Online Workload Characterization
Sub types
  • Article
Ausgabe der Zeitschrift
29

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Autoren
  • Reza Salkhordeh
  • Shahriar Ebrahimi
  • Hossein Asadi
DOI
10.1109/tpds.2018.2796100
ISSN
1045-9219
Ausgabe der Veröffentlichung
7
Zeitschrift
IEEE Transactions on Parallel and Distributed Systems
Paginierung
1605 - 1620
Datum der Veröffentlichung
2018
Status
Published
Herausgeber
Institute of Electrical and Electronics Engineers (IEEE)
Herausgeber URL
http://dx.doi.org/10.1109/tpds.2018.2796100
Datum der Datenerfassung
2022
Titel
ReCA: An Efficient Reconfigurable Cache Architecture for Storage Systems with Online Workload Characterization
Ausgabe der Zeitschrift
29

Datenquelle: Crossref

Autoren
  • Reza Salkhordeh
  • Shahriar Ebrahimi
  • Hossein Asadi
Zeitschrift
CoRR
Datum der Veröffentlichung
2018
Titel
ReCA: an Efficient Reconfigurable Cache Architecture for Storage Systems with Online Workload Characterization.
Ausgabe der Zeitschrift
abs/1805.06747

Datenquelle: DBLP

Abstract
In recent years, SSDs have gained tremendous attention in computing and storage systems due to significant performance improvement over HDDs. The cost per capacity of SSDs, however, prevents them from entirely replacing HDDs in such systems. One approach to effectively take advantage of SSDs is to use them as a caching layer to store performance critical data blocks to reduce the number of accesses to disk subsystem. Due to characteristics of Flash-based SSDs such as limited write endurance and long latency on write operations, employing caching algorithms at the Operating System (OS) level necessitates to take such characteristics into consideration. Previous caching techniques are optimized towards only one type of application, which affects both generality and applicability. In addition, they are not adaptive when the workload pattern changes over time. This paper presents an efficient Reconfigurable Cache Architecture (ReCA) for storage systems using a comprehensive workload characterization to find an optimal cache configuration for I/O intensive applications. For this purpose, we first investigate various types of I/O workloads and classify them into five major classes. Based on this characterization, an optimal cache configuration is presented for each class of workloads. Then, using the main features of each class, we continuously monitor the characteristics of an application during system runtime and the cache organization is reconfigured if the application changes from one class to another class of workloads. The cache reconfiguration is done online and workload classes can be extended to emerging I/O workloads in order to maintain its efficiency with the characteristics of I/O requests. Experimental results obtained by implementing ReCA in a server running Linux show that the proposed architecture improves performance and lifetime up to 24\% and 33\%, respectively.
Autoren
  • Reza Salkhordeh
  • Shahriar Ebrahimi
  • Hossein Asadi
Autoren-URL
http://arxiv.org/abs/1805.06747v1
Zeitschrift
IEEE TPDS 2018
Schlüsselwörter
  • cs.PF
  • cs.PF
  • cs.AR
Datum der Veröffentlichung
2018
Herausgeber URL
http://dx.doi.org/10.1109/TPDS.2018.2796100
Datum der Datenerfassung
2018
Datum, an dem der Datensatz öffentlich gemacht wurde
2018
Titel
ReCA: an Efficient Reconfigurable Cache Architecture for Storage Systems with Online Workload Characterization

Files

1805.06747v1.pdf

Datenquelle: arXiv

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