手机上的节能关键字搜索

MCC '12 Pub Date : 2012-08-17 DOI:10.1145/2342509.2342522
Weixiong Rao, Kai Zhao, Eemil Lagerspetz, Pan Hui, S. Tarkoma
{"title":"手机上的节能关键字搜索","authors":"Weixiong Rao, Kai Zhao, Eemil Lagerspetz, Pan Hui, S. Tarkoma","doi":"10.1145/2342509.2342522","DOIUrl":null,"url":null,"abstract":"With the explosive growth of communication technologies, modern mobile phones become more powerful than ever. Unfortunately, the battery lifetime of mobile phones is still limited, and energy awareness is a priority of designing applications on mobile phones. To demonstrate the energy awareness on mobile phones, we propose a new approach for full-text keyword searches to retrieve content matching input keywords. The proposed approach generalizes the two solutions that answer the keyword searches either (i) locally by mobile phones themselves or (ii) remotely by power servers when the keywords are offloaded to such servers. Instead, for low energy, we propose to split the keywords in a search into two subsets, such that one subset is processed by the mobile phone and another by the remote server. Our preliminary experiment results indicate the hybrid approach can save the most energy for the keyword searches than the local and remote approaches. In our example tests, energy of the hybrid approach saves 75% and 47% of energy when compared to local execution and complete offloading approaches, respectively.","PeriodicalId":122793,"journal":{"name":"MCC '12","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Energy-aware keyword search on mobile phones\",\"authors\":\"Weixiong Rao, Kai Zhao, Eemil Lagerspetz, Pan Hui, S. Tarkoma\",\"doi\":\"10.1145/2342509.2342522\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the explosive growth of communication technologies, modern mobile phones become more powerful than ever. Unfortunately, the battery lifetime of mobile phones is still limited, and energy awareness is a priority of designing applications on mobile phones. To demonstrate the energy awareness on mobile phones, we propose a new approach for full-text keyword searches to retrieve content matching input keywords. The proposed approach generalizes the two solutions that answer the keyword searches either (i) locally by mobile phones themselves or (ii) remotely by power servers when the keywords are offloaded to such servers. Instead, for low energy, we propose to split the keywords in a search into two subsets, such that one subset is processed by the mobile phone and another by the remote server. Our preliminary experiment results indicate the hybrid approach can save the most energy for the keyword searches than the local and remote approaches. In our example tests, energy of the hybrid approach saves 75% and 47% of energy when compared to local execution and complete offloading approaches, respectively.\",\"PeriodicalId\":122793,\"journal\":{\"name\":\"MCC '12\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MCC '12\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2342509.2342522\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MCC '12","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2342509.2342522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

随着通信技术的爆炸式增长,现代移动电话变得比以往任何时候都更强大。不幸的是,手机的电池寿命仍然有限,能源意识是设计手机应用程序的首要任务。为了展示手机的能源意识,我们提出了一种新的全文关键字搜索方法来检索与输入关键字匹配的内容。所提出的方法概括了两种解决方案,即(i)由移动电话本身在本地回答关键字搜索或(ii)当关键字卸载到此类服务器时,由电源服务器远程回答关键字搜索。相反,为了低能耗,我们建议将搜索中的关键字分成两个子集,这样一个子集由移动电话处理,另一个子集由远程服务器处理。我们的初步实验结果表明,混合方法比本地和远程方法更节省关键字搜索的能量。在我们的示例测试中,与本地执行和完全卸载方法相比,混合方法分别节省了75%和47%的能源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy-aware keyword search on mobile phones
With the explosive growth of communication technologies, modern mobile phones become more powerful than ever. Unfortunately, the battery lifetime of mobile phones is still limited, and energy awareness is a priority of designing applications on mobile phones. To demonstrate the energy awareness on mobile phones, we propose a new approach for full-text keyword searches to retrieve content matching input keywords. The proposed approach generalizes the two solutions that answer the keyword searches either (i) locally by mobile phones themselves or (ii) remotely by power servers when the keywords are offloaded to such servers. Instead, for low energy, we propose to split the keywords in a search into two subsets, such that one subset is processed by the mobile phone and another by the remote server. Our preliminary experiment results indicate the hybrid approach can save the most energy for the keyword searches than the local and remote approaches. In our example tests, energy of the hybrid approach saves 75% and 47% of energy when compared to local execution and complete offloading approaches, respectively.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信