Fine-grained data usage analysis by access sampling: seeing the data that is not there
Pages 221 - 231
Abstract
Estimating active data usage is a basic problem in memory system analysis, management and optimization. Fine-grained usage analysis is costly because it requires monitoring data access.
This paper presents efficient fine-grained analysis through access sampling. By taking random samples at some frequency ratio, e.g. 1% of cache misses, it infers the size of the other data accessed in the rest of the trace. Since the analysis deduces the total amount of data accessed by inspecting a subset of accesses, it is seeing the data that is not there. The paper presents the analysis and its evaluation using 8 program traces. The error of data-size prediction is 33% at 1% sampling and 6% at 10% sampling. The new technique is significantly more accurate than two previous models. One is based on skewed distributions, i.e. the "80-20" law. The other is the well-known Good-Turing frequency estimation.
References
[1]
Kristof Beyls and Erik H. D'Hollander. 2006. Discovery of locality-improving refactoring by reuse path analysis. In Proceedings of High Performance Computing and Communications. Springer. Lecture Notes in Computer Science, Vol. 4208. 220--229.
[2]
Daniel Byrne, Nilufer Onder, and Zhenlin Wang. 2018. mPart: miss-ratio curve guided partitioning in key-value stores. In Proceedings of the International Symposium on Memory Management. 84--95.
[3]
Dong Chen, Fangzhou Liu, Chen Ding, and Sreepathi Pai. 2018. Locality analysis through static parallel sampling. In Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation. 557--570.
[4]
David Eklov and Erik Hagersten. 2010. StatStack: Efficient modeling of LRU caches. In Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software. 55--65.
[5]
Christos Faloutsos, Yossi Matias, and Abraham Silberschatz. 1996. Modeling Skewed Distribution Using Multifractals and the '80-20' Law. In Proceedings of International Conference on Very Large Data Bases. 307--317. http://www.vldb.org/conf/1996/P307.PDF
[6]
Xiameng Hu, Xiaolin Wang, Lan Zhou, Yingwei Luo, Chen Ding, and Zhenlin Wang. 2016. Kinetic Modeling of Data Eviction in Cache. In Proceedings of USENIX Annual Technical Conference. 351--364. https://www.usenix.org/conference/atc16/technical-sessions/presentation/hu
[7]
Yannis E. Ioannidis and Viswanath Poosala. 1995. Balancing Histogram Optimality and Practicality for Query Result Size Estimation. In Proceedings of the ACM SIGMOD International Conference on Management of Data. 233--244.
[8]
M. K. Qureshi and Y. N. Patt. 2006. Utility-Based Cache Partitioning: A Low-Overhead, High-Performance, Runtime Mechanism to Partition Shared Caches. In Proceedings of the International Symposium on Microarchitecture.
[9]
Manfred R. Schroeder. 1991. Fractals, chaos, power laws - minutes from an infinite paradise. Freeman. http://www.worldcat.org/oclc/21522909
[10]
David K. Tam, Reza Azimi, Livio Soares, and Michael Stumm. 2009. RapidMRC: approximating L2 miss rate curves on commodity systems for online optimizations. In Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems. 121--132.
[11]
Carl A. Waldspurger, Trausti Saemundsson, Irfan Ahmad, and Nohhyun Park. 2017. Cache Modeling and Optimization using Miniature Simulations. In Proceedings of USENIX Annual Technical Conference. 487--498. https://www.usenix.org/conference/atc17/technical-sessions/presentation/waldspurger
[12]
Wang et al. 2015. Optimal Program Symbiosis in Shared Cache. In Proceedings of the IEEE International Symposium on Cluster Computing and the Grid.
[13]
Xiaoya Xiang, Chen Ding, Hao Luo, and Bin Bao. 2013. HOTL: a higher order theory of locality. In Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems. 343--356.
[14]
Yaocheng Xiang, Xiaolin Wang, Zihui Huang, Zeyu Wang, Yingwei Luo, and Zhenlin Wang. 2018. DCAPS: dynamic cache allocation with partial sharing. In Proceedings of the EuroSys Conference. 13:1--13:15.
Recommendations
A fine-grained, controllable, user-to-user delegation method in RBAC
SACMAT '05: Proceedings of the tenth ACM symposium on Access control models and technologiesThis paper addresses the issues surrounding user-to-user delegation in RBAC. We show how delegations can be incorporated into the RBAC model in a simple and straightforward manner. A special feature of the model is that it allows fine-grained control ...
Fine-grained access control for GridFTP using SecPAL
GRID '07: Proceedings of the 8th IEEE/ACM International Conference on Grid ComputingGrid access control policy languages today are generally one of two extremes: either extremely simplistic, or overly complex and challenging for even security experts to use. In this paper, we explicitly identify requirements for an access control ...
Comments
Information & Contributors
Information
Published In
Copyright © 2018 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 the author(s) 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].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 01 October 2018
Check for updates
Qualifiers
- Research-article
Funding Sources
Conference
MEMSYS '18
MEMSYS '18: The International Symposium on Memory Systems
October 1 - 4, 2018
Virginia, Alexandria, USA
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 236Total Downloads
- Downloads (Last 12 months)34
- Downloads (Last 6 weeks)13
Reflects downloads up to 03 Oct 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in