research-article

SOPA: Selecting the optimal caching policy adaptively

Authors:

Guangyan Zhang,

Weimin ZhengAuthors Info & Claims

ACM Transactions on Storage (TOS), Volume 6, Issue 2

Article No.: 7, Pages 1 - 18

https://doi.org/10.1145/1807060.1807064

Published: 30 July 2010 Publication History

Abstract

With the development of storage technology and applications, new caching policies are continuously being introduced. It becomes increasingly important for storage systems to be able to select the matched caching policy dynamically under varying workloads. This article proposes SOPA, a cache framework to adaptively select the matched policy and perform policy switches in storage systems. SOPA encapsulates the functions of a caching policy into a module, and enables online policy switching by policy reconstruction. SOPA then selects the policy matched with the workload dynamically by collecting and analyzing access traces. To reduce the decision-making cost, SOPA proposes an asynchronous decision making process. The simulation experiments show that no single caching policy performed well under all of the different workloads. With SOPA, a storage system could select the appropriate policy for different workloads. The real-system evaluation results show that SOPA reduced the average response time by up to 20.3% and 11.9% compared with LRU and ARC, respectively.

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Cited By

Pan CWang XLuo YWang Z(2021)Penalty- and Locality-aware Memory Allocation in Redis Using Enhanced AETACM Transactions on Storage10.1145/344757317:2(1-45)Online publication date: 28-May-2021
https://dl.acm.org/doi/10.1145/3447573
Nicolae BRiteau PZhen ZKeahey K(2019)Transparent Throughput Elasticity for Modern Cloud StorageApplying Integration Techniques and Methods in Distributed Systems and Technologies10.4018/978-1-5225-8295-3.ch007(156-191)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-8295-3.ch007
Jeremic NParzyjegla HMuhl G(2019)An Adaptive SSD Cache Architecture Simultaneously Using Multiple Caches2019 IEEE International Conference on Networking, Architecture and Storage (NAS)10.1109/NAS.2019.8834724(1-10)Online publication date: Aug-2019
https://doi.org/10.1109/NAS.2019.8834724
Show More Cited By

Index Terms

SOPA: Selecting the optimal caching policy adaptively
1. Information systems
  1. Information storage systems
    1. Record storage systems
    2. Storage management
2. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Operating systems
        File systems management
        Memory management

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Reviews

Reviewer: Seetharami R Seelam

Wang et al. describe a framework for adaptively selecting input/output (I/O) caching policy when given a set of policies. The main idea is to capture a set of policies and the data required, in the form of a module, and select a policy that is appropriate for a given workload, based on the current policy cache hit rate. If the hit rate falls below a user-definable threshold, other policies are evaluated on the metadata captured from the workload. It is well known that there is no "silver bullet"-that is, there is no single caching policy that will result in optimal caching performance. That being said, this paper provides a sound framework for realizing multiple policies and allowing for optimal cache performance for applications. Online Computing Reviews Service

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Published In

cover image ACM Transactions on Storage

ACM Transactions on Storage Volume 6, Issue 2

July 2010

89 pages

ISSN:1553-3077

EISSN:1553-3093

DOI:10.1145/1807060

Issue’s Table of Contents

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 30 July 2010

Accepted: 01 May 2010

Revised: 01 May 2010

Received: 01 May 2010

Published in TOS Volume 6, Issue 2

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Cited By

Pan CWang XLuo YWang Z(2021)Penalty- and Locality-aware Memory Allocation in Redis Using Enhanced AETACM Transactions on Storage10.1145/344757317:2(1-45)Online publication date: 28-May-2021
https://dl.acm.org/doi/10.1145/3447573
Nicolae BRiteau PZhen ZKeahey K(2019)Transparent Throughput Elasticity for Modern Cloud StorageApplying Integration Techniques and Methods in Distributed Systems and Technologies10.4018/978-1-5225-8295-3.ch007(156-191)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-8295-3.ch007
Jeremic NParzyjegla HMuhl G(2019)An Adaptive SSD Cache Architecture Simultaneously Using Multiple Caches2019 IEEE International Conference on Networking, Architecture and Storage (NAS)10.1109/NAS.2019.8834724(1-10)Online publication date: Aug-2019
https://doi.org/10.1109/NAS.2019.8834724
Gu RLi CShu PYuan CHuang Y(2019)Adaptive cache policy scheduling for big data applications on distributed tiered storage systemConcurrency and Computation: Practice and Experience10.1002/cpe.513831:15Online publication date: 17-Jan-2019
https://doi.org/10.1002/cpe.5138
Cheng YXiang YChen WHassan HAlelaiwi A(2018)Efficient cache resource aggregation using adaptive multi-level exclusive caching policiesFuture Generation Computer Systems10.1016/j.future.2017.09.04486(964-974)Online publication date: Sep-2018
https://doi.org/10.1016/j.future.2017.09.044
Priyadarshi RSoni SNath V(2018)Energy efficient cluster head formation in wireless sensor networkMicrosystem Technologies10.1007/s00542-018-3873-724:12(4775-4784)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1007/s00542-018-3873-7
Waldspurger CSaemundson TAhmad IPark NSilva DFord B(2017)Cache modeling and optimization using miniature simulationsProceedings of the 2017 USENIX Conference on Usenix Annual Technical Conference10.5555/3154690.3154737(487-498)Online publication date: 12-Jul-2017
https://dl.acm.org/doi/10.5555/3154690.3154737
Bhuiyan MWu JWang GWang THassan M(2017)e-SamplingACM Transactions on Autonomous and Adaptive Systems10.1145/299415012:1(1-29)Online publication date: 27-Mar-2017
https://dl.acm.org/doi/10.1145/2994150
Souza ÉNakamura EPazzi R(2016)Target Tracking for Sensor NetworksACM Computing Surveys10.1145/293863949:2(1-31)Online publication date: 30-Jun-2016
https://dl.acm.org/doi/10.1145/2938639
Nicolae BRiteau PKeahey K(2015)Towards Transparent Throughput Elasticity for IaaS Cloud StorageInternational Journal of Distributed Systems and Technologies10.4018/IJDST.20151001026:4(21-44)Online publication date: 1-Oct-2015
https://dl.acm.org/doi/10.4018/IJDST.2015100102
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