一个绿色矿工的数据集:挖掘软件变化对能源消耗的影响

Chenlei Zhang, Abram Hindle
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引用次数: 13

摘要

随着移动计算的出现,软件开发人员更新和发布节能应用程序的责任从未如此明显。绿色采矿试图通过检查软件变化对能源消耗的影响来解决这一责任。绿色采矿的一个问题是,与许多其他形式的MSR研究不同,电力性能数据并不容易获得。绿色矿工必须创建测试并在软件项目的多个版本中运行它们,因为某个特定项目的电源性能数据要么缺失,要么根本不存在。本文描述了之前绿色挖掘工作中使用的多个开放绿色挖掘数据集。该数据集包括多个产品的多个版本的众多电源跟踪和并行系统调用以及CPU/IO/Memory跟踪。这些数据集使那些对数据挖掘和建模更感兴趣的人也可以研究绿色挖掘问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A green miner's dataset: mining the impact of software change on energy consumption
With the advent of mobile computing, the responsibility of software developers to update and ship energy efficient applications has never been more pronounced. Green mining attempts to address this responsibility by examining the impact of software change on energy consumption. One problem with green mining is that power performance data is not readily available, unlike many other forms of MSR research. Green miners have to create tests and run them across numerous versions of a software project because power performance data was either missing or never existed for that particular project. In this paper we describe multiple open green mining datasets used in prior green mining work. The dataset includes numerous power traces and parallel system call and CPU/IO/Memory traces of multiple versions of multiple products. These datasets enable those more interested in data-mining and modeling to work on green mining problems as well.
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