找回密碼
 To register

QQ登錄

只需一步，快速開(kāi)始

掃一掃，訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Crowdsourcing of Sensor Cloud Services; Azadeh‘Ghari Neiat,Athman Bouguettaya Book 2018 Springer International Publishing AG, part of Spri

[復(fù)制鏈接]
查看: 55128|回復(fù): 35
樓主
發(fā)表于 2025-3-21 16:31:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Crowdsourcing of Sensor Cloud Services
編輯Azadeh‘Ghari Neiat,Athman Bouguettaya
視頻videohttp://file.papertrans.cn/241/240462/240462.mp4
概述Provides Crowdsourced WiFi Coverage as a Service.Presents Spatio-Temporal Composition of Sensor-Cloud Services.Introduces a novel, heuristic failure-proof service composition algorithm based on the in
圖書(shū)封面Titlebook: Crowdsourcing of Sensor Cloud Services; Azadeh‘Ghari Neiat,Athman Bouguettaya Book 2018 Springer International Publishing AG, part of Spri
描述.This book develops a crowdsourced sensor-cloud service composition framework?taking into account .spatio-temporal .aspects. This book also unfolds new?horizons to service-oriented computing towards the direction of?.crowdsourced sensor data based applications., in the broader context of?Internet of Things (IoT). It is a massive challenge for the IoT research field?how to .effectively .and .efficiently .capture, manage and deliver sensed data?as .user-desired services.. The outcome of this research will contribute to?solving this very important question, by designing a novel service?framework and a set of unique service selection and composition?frameworks..Delivering a novel service framework to manage crowdsourced sensor?data provides high-level abstraction (i.e.,?.sensor-cloud service.) to model crowdsourced sensor data from .functional?.and .non-functional .perspectives, seamlessly turning the raw .data .into?“ready to go” .services.. A creative indexing model is developed to capture?and manage the .spatio-temporal dynamism .of crowdsourced service?providers..Delivering novel frameworks to compose crowdsourced sensor-cloud?services is vital. These frameworks focuses on spatio-t
出版日期Book 2018
關(guān)鍵詞Sensor Cloud; Spatio-temporal service model; Crowdsourced services; Incentive model; Computing; Spatio-te
版次1
doihttps://doi.org/10.1007/978-3-319-91536-4
isbn_softcover978-3-030-08269-7
isbn_ebook978-3-319-91536-4
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

書(shū)目名稱(chēng)Crowdsourcing of Sensor Cloud Services影響因子(影響力)




書(shū)目名稱(chēng)Crowdsourcing of Sensor Cloud Services影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Crowdsourcing of Sensor Cloud Services網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Crowdsourcing of Sensor Cloud Services網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Crowdsourcing of Sensor Cloud Services被引頻次




書(shū)目名稱(chēng)Crowdsourcing of Sensor Cloud Services被引頻次學(xué)科排名




書(shū)目名稱(chēng)Crowdsourcing of Sensor Cloud Services年度引用




書(shū)目名稱(chēng)Crowdsourcing of Sensor Cloud Services年度引用學(xué)科排名




書(shū)目名稱(chēng)Crowdsourcing of Sensor Cloud Services讀者反饋




書(shū)目名稱(chēng)Crowdsourcing of Sensor Cloud Services讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics
 

0票 0%

Better Implies Difficulty
 

0票 0%

Good and Satisfactory
 

0票 0%

Adverse Performance
 

0票 0%

Disdainful Garbage
您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:34:13 | 只看該作者
Conditions of Boundary Crossing Research, the transformation of data into useful information. In this chapter, we first discuss the motivation behind this research. We then explain the research challenges. Thirdly, we highlight the research objectives. Finally, we discuss the contributions of this book and finish the chapter by introducing the subsequent chapters.
板凳
發(fā)表于 2025-3-22 01:26:29 | 只看該作者
Accommodating Interdisciplinary Research,regard, we focus on spatio-temporal aspects as key parameters to access sensor cloud services. A credit-based incentive model motivates crowd participation to achieve the desired coverage. In this chapter, we provide an overview of related work in these areas.
地板
發(fā)表于 2025-3-22 07:11:05 | 只看該作者
Background,regard, we focus on spatio-temporal aspects as key parameters to access sensor cloud services. A credit-based incentive model motivates crowd participation to achieve the desired coverage. In this chapter, we provide an overview of related work in these areas.
5#
發(fā)表于 2025-3-22 10:35:38 | 只看該作者
6#
發(fā)表于 2025-3-22 16:05:54 | 只看該作者
7#
發(fā)表于 2025-3-22 18:50:06 | 只看該作者
8#
發(fā)表于 2025-3-23 01:18:14 | 只看該作者
9#
發(fā)表于 2025-3-23 01:28:22 | 只看該作者
10#
發(fā)表于 2025-3-23 05:32:44 | 只看該作者
Theory and Pre-theory of Wholes cloud services to provide a new sensor cloud service. Therefore, the second component of the proposed framework is a spatio-temporal linear composition algorithm which enables users to select optimal composition plans based on their own functional and non-functional requirements.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 16:01
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
南江县| 长葛市| 香格里拉县| 呼图壁县| 抚州市| 贵南县| 年辖：市辖区| 醴陵市| 十堰市| 修武县| 杂多县| 松阳县| 宁城县| 长兴县| 金门县| 阿克陶县| 永登县| 弥勒县| 宜兴市| 辛集市| 南乐县| 莒南县| 连山| 大田县| 绵阳市| 永清县| 浦东新区| 黔西县| 白银市| 阜新市| 广饶县| 富源县| 肇东市| 吴川市| 拜城县| 达日县| 万源市| 柞水县| 潼南县| 安多县| 乌兰浩特市|