2015 IEEE International Conference on Mobile Services最新文献_第6页

JavaScript Offloading for Web Applications in Mobile-Cloud Computing 移动云计算中Web应用的JavaScript卸载

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.46

Meihua Yu, Gang Huang, Xudong Wang, Ying Zhang, Xiangqun Chen

{"title":"JavaScript Offloading for Web Applications in Mobile-Cloud Computing","authors":"Meihua Yu, Gang Huang, Xudong Wang, Ying Zhang, Xiangqun Chen","doi":"10.1109/MobServ.2015.46","DOIUrl":"https://doi.org/10.1109/MobServ.2015.46","url":null,"abstract":"Current mobile Web applications (a.k.a, Mobile Web apps) become quite computation-intensive by involving complex JavaScript, e.g., Data analytic applications and AI games, etc. In the context of mobile-cloud computing, computation offloading is a promising solution to improve performance and user experiences for mobile devices, and a lot of research efforts have been made for native apps. However, very few attentions have been paid on mobile Web apps. Compared to native apps, the dynamic feature of Web apps poses some challenging issues for computation offloading. To address these issues, this paper presents a systematic approach for augmenting JavaScript-based mobile Web apps. Our approach proposes a programming abstraction to extract \"offload able\" computation-intensive portions for facilitating Web developers to define when an offloading can occur. We implement a browser-based offloading runtime service and deploy it as a front-end proxy on cloud, to automatically partition the Web apps afore the mobile devices. We demonstrate the efficiency of our approach with some typical computation-intensive Web apps across various high-end and low-end hardware specifications under Wi-Fi and cellular networks.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125157114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Mobility State Based Routing Method in Vehicular Ad-Hoc Network 基于移动状态的车载Ad-Hoc网络路由方法

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.72

Kye-Ho Park, Hyundong Kim, Sukyoung Lee

引用次数: 10

Delivering Mobile Cloud Services to the User: Description, Discovery, and Consumption 向用户交付移动云服务:描述、发现和消费

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.17

M. O'Sullivan, D. Grigoras

{"title":"Delivering Mobile Cloud Services to the User: Description, Discovery, and Consumption","authors":"M. O'Sullivan, D. Grigoras","doi":"10.1109/MobServ.2015.17","DOIUrl":"https://doi.org/10.1109/MobServ.2015.17","url":null,"abstract":"The mobile cloud computing paradigm can offer relevant and useful services to the users of smart mobile devices. Such public services already exist on the web and in cloud deployments, by implementing common web service standards. However, these services are described by mark-up languages, such as XML, that cannot be comprehended by non-specialists. Furthermore, the lack of common interfaces for related services makes discovery and consumption difficult for both users and software. The problem of service description, discovery, and consumption for the mobile cloud must be addressed to allow users to benefit from these services on mobile devices. This paper introduces our work on a mobile cloud service discovery solution, which is utilised by our mobile cloud middleware, Context Aware Mobile Cloud Services (CAMCS). The aim of our approach is to remove complex mark-up languages from the description and discovery process. By means of the Cloud Personal Assistant (CPA) assigned to each user of CAMCS, relevant mobile cloud services can be discovered and consumed easily by the end user from the mobile device. We present the discovery process, the architecture of our own service registry, and service description structure. CAMCS allows services to be used from the mobile device through a user's CPA, by means of user defined tasks. We present the task model of the CPA enabled by our solution, including automatic tasks, which can perform work for the user without an explicit request.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114787561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

State-Driven and Brick-Based Mobile Mashup 状态驱动和基于砖块的移动混搭

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.35

Shang-Pin Ma, Y. Ma, Wen-Tin Lee

引用次数: 3

Tracking Public Concerns: How Mobile Service Providers Understand Their Users? 跟踪公众关注:移动服务提供商如何了解他们的用户?

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.43

Bin Zhou, Lei Deng, Jingze Li

引用次数: 0

SHSM: A Service Middleware for Smart Home SHSM:智能家居的服务中间件

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.73

Xiaodong Wang, Ye Tao, Xiaowei Xu

引用次数: 2

A Mobile Money Solution for Illiterate Users 针对文盲用户的移动支付解决方案

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.53

Mesfin F. Woldmariam, Tor-Morten Grønli, G. Ghinea, M. Younas

引用次数: 5

PriWe: Recommendation for Privacy Settings of Mobile Apps Based on Crowdsourced Users' Expectations PriWe:基于众包用户期望的手机应用隐私设置推荐

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MOBSERV.2015.30

Rui Liu, Jiannong Cao, Lei Yang, Kehuan Zhang

{"title":"PriWe: Recommendation for Privacy Settings of Mobile Apps Based on Crowdsourced Users' Expectations","authors":"Rui Liu, Jiannong Cao, Lei Yang, Kehuan Zhang","doi":"10.1109/MOBSERV.2015.30","DOIUrl":"https://doi.org/10.1109/MOBSERV.2015.30","url":null,"abstract":"Privacy is a pivotal issue of mobile apps because there is a plethora of personal and sensitive information in smartphones. Various mechanisms and tools are proposed to detect and mitigate privacy leaks. However, they rarely consider users' preferences and expectations. Users hold various expectations towards different mobile apps. For example, users can allow a social app to access their photos rather than a game app because it is beyond users' expectation when an entertainment app gets the personal photos. Therefore, we believe it is vital to understand users' privacy expectations to various mobile apps and help them to mitigate privacy risks in the smartphone accordingly. To achieve this objective, we propose and implement PriWe, a system based on crowd sourcing driven by users who contribute privacy permission settings of their apps in smartphones. PriWe leverages the crowd sourced permission settings to understand users' privacy expectation and provides app specific recommendations to mitigate information leakage. We deployed PriWe in the real world for evaluation. According to the feedbacks of 78 users from the real world and 382 participants from Amazon Mechanical Turk, PriWe can make proper recommendations which can meet participants' privacy expectation and are mostly accepted by users, thereby help them to mitigate privacy disclosure in smartphones.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134328538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Knowledge-Driven Personalized Contextual mHealth Service for Asthma Management in Children 儿童哮喘管理的知识驱动个性化情境移动健康服务

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.48

Pramod Anantharam, Tanvi Banerjee, A. Sheth, K. Thirunarayan, Surendra Marupudi, Vaikunth Sridharan, Shalini G. Forbis

{"title":"Knowledge-Driven Personalized Contextual mHealth Service for Asthma Management in Children","authors":"Pramod Anantharam, Tanvi Banerjee, A. Sheth, K. Thirunarayan, Surendra Marupudi, Vaikunth Sridharan, Shalini G. Forbis","doi":"10.1109/MobServ.2015.48","DOIUrl":"https://doi.org/10.1109/MobServ.2015.48","url":null,"abstract":"Wide adoption of smartphones and availability of low-cost sensors has resulted in seamless and continuous monitoring of physiology, environment, and public health notifications. However, personalized digital health and patient empowerment can become a reality only if the complex multisensory and multimodal data is processed within the patient context. Contextual processing of patient data along with personalized medical knowledge can lead to actionable information for better and timely decisions. We present a system called kHealth capable of aggregating multisensory and multimodal data from sensors (passive sensing) and answers to questionnaire (active sensing) from patients with asthma. We present our preliminary data analysis comprising data collected from real patients highlighting the challenges in deploying such an application. The results show strong promise to derive actionable information using a combination of physiological indicators from active and passive sensors that can help doctors determine more precisely the cause, severity, and control level of asthma. Information synthesized from kHealth can be used to alert patients and caregivers for seeking timely clinical assistance to better manage asthma and improve their quality of life.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127296912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

The Study of Cloud-Based Testing Platform for Android 基于云的Android测试平台研究

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.36

J. Kuo, Chien-Hung Liu, Weiting Yu

引用次数: 10