An Adaptive Application Framework with Customizable Quality Metrics
An Adaptive Application Framework with Customizable Quality Metrics
复制标题
具有可定制质量指标的自适应应用程序框架
DOI:
10.1145/3477428
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发表时间:
2022
影响因子:
1.4
通讯作者:
Kremer, Ulrich
中科院分区:
文献类型:
--
作者:
Liu, Liu;Isaacman, Sibren;Kremer, Ulrich
Many embedded environments require applications to produce outcomes under different, potentially changing, resource constraints. Relaxing application semantics through approximations enables trading off resource usage for outcome quality. Although quality is a highly subjective notion, previous work assumes given, fixed low-level quality metrics that often lack a strong correlation to a user’s higher-level quality experience. Users may also change their minds with respect to their quality expectations depending on the resource budgets they are willing to dedicate to an execution. This motivates the need for an adaptive application framework where users provide execution budgets and a customized quality notion. This article presents a novel adaptive program graph representation that enables user-level, customizable quality based on basic quality aspects defined by application developers. Developers also define application configuration spaces, with possible customization to eliminate undesirable configurations. At runtime, the graph enables the dynamic selection of the configuration with maximal customized quality within the user-provided resource budget.An adaptive application framework based on our novel graph representation has been implemented on Android and Linux platforms and evaluated on eight benchmark programs, four with fully customizable quality. Using custom quality instead of the default quality, users may improve their subjective quality experience value by up to 3.59×, with 1.76× on average under different resource constraints. Developers are able to exploit their application structure knowledge to define configuration spaces that are on average 68.7% smaller as compared to existing, structure-oblivious approaches. The overhead of dynamic reconfiguration averages less than 1.84% of the overall application execution time.
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DOI:
10.1109/cgo.2015.7054193
发表时间:
2015
期刊:
2015 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)
影响因子:
--
作者:
Lawrence C. McAfee;K. Olukotun
通讯作者:
K. Olukotun
DOI:
10.1145/2786805.2786807
发表时间:
2015
期刊:
Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering
影响因子:
--
作者:
Jongse Park;H. Esmaeilzadeh;Xin Zhang;M. Naik;William R. Harris
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William R. Harris
DOI:
10.1145/3368089.3409721
发表时间:
2020
期刊:
ESEC/FSE 2020: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
影响因子:
--
作者:
Liu, Liu;Isaacman, Sibren;Kremer, Ulrich
通讯作者:
Kremer, Ulrich
DOI:
10.1145/1735688.1735705
发表时间:
2010
期刊:
Proceedings of the 2nd Workshop on Sustainable Computer Systems
影响因子:
--
作者:
S. Byna;Jiayuan Meng;A. Raghunathan;S. Chakradhar;S. Cadambi
通讯作者:
S. Cadambi
DOI:
10.1145/313817.313834
发表时间:
1999
期刊:
Proceedings. 1999 International Symposium on Low Power Electronics and Design (Cat. No.99TH8477)
影响因子:
--
作者:
R. Hegde;Naresh R Shanbhag
通讯作者:
Naresh R Shanbhag