2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering最新文献

Efficient Transmission of Smartphone Application Traffic in Wireless Access Networks 智能手机应用流量在无线接入网中的高效传输

2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2014-04-08 DOI: 10.1109/MobileCloud.2014.35

H. Einsiedler, N. Bayer, Kay Haensge, Roman Szczepanski, Martin Kurze, Thorsten Rettig, Francisco González Garcia, Andreas Roos, Stephan Berg, J. I. Moreno

{"title":"Efficient Transmission of Smartphone Application Traffic in Wireless Access Networks","authors":"H. Einsiedler, N. Bayer, Kay Haensge, Roman Szczepanski, Martin Kurze, Thorsten Rettig, Francisco González Garcia, Andreas Roos, Stephan Berg, J. I. Moreno","doi":"10.1109/MobileCloud.2014.35","DOIUrl":"https://doi.org/10.1109/MobileCloud.2014.35","url":null,"abstract":"Smartphones together with the respective applications (apps) and services have become an integral part of our daily life. The feature set of smartphones, such as sensors, cameras, processing speed, memory, etc. is constantly increasing and apps exploit these features to offer even more intelligent services for the customers. However, there is only less inter-working between the network and mobile devices as well as the apps. They are considering the wireless access as a bit-pipe without taking into account the characteristics of each wireless technology. This leads to an inefficient use of wireless resources. In this paper we present the concept and the implementation of a context-and policy based interface and traffic management approach which aims to tackle this problem. This approach exploits the feature set of the smartphone as well as the context information available on the smartphone to improve the overall resource usage. Intelligent interface and traffic management mechanisms are envisioned on the device in order to improve the network efficiency as well as the battery runtime on smartphones without affecting the delivered application service quality at the same time.","PeriodicalId":216752,"journal":{"name":"2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116628138","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: 4

A Virtualized, Programmable Content Delivery Network 虚拟化、可编程的内容交付网络

2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2014-04-08 DOI: 10.1109/MobileCloud.2014.32

Honguk Woo, Sungwon Han, Eunho Heo, Jaehong Kim, Sangho Shin

{"title":"A Virtualized, Programmable Content Delivery Network","authors":"Honguk Woo, Sungwon Han, Eunho Heo, Jaehong Kim, Sangho Shin","doi":"10.1109/MobileCloud.2014.32","DOIUrl":"https://doi.org/10.1109/MobileCloud.2014.32","url":null,"abstract":"In this paper, we present an open platform of content delivery networks (CDNs), namely vCDN, by which a wide range of delivery strategies can be dynamically deployed via a centralized controller and a pool of geographically dispersed cloud resources. A control application can be written for representing a specific strategy w.r.t required scale, responsiveness, and security in content delivery, and then translated into a virtualized delivery network, a form of an overlay network on cloud storages and virtual machines. In doing so, we explore the unique combination of named data networking (NDN), software defined networking (SDN), and distributed monitoring so as to achieve to a certain extent programmability in content delivery. Different from traditional CDNs, the strategy of content delivery in vCDN is not statically fixed but can be tailored by each service provider via the deployment of its own control application. Throughout a few applications running on our test bed at 7 geographical locations with multiple cloud resources, we demonstrate the feasibility of the programmable CDN and the delivery performance enhancement by inter-cloud network route managements.","PeriodicalId":216752,"journal":{"name":"2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127283770","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: 8

Mobile Cloud Computing for Providing Complex Mobile Web Services 提供复杂移动Web服务的移动云计算

2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2014-04-08 DOI: 10.1109/MobileCloud.2014.12

F. Alshahwan, Maha Faisal

引用次数: 15

Adaptive Provisioning of Connectivity-as-a-Service for Mobile Cloud Computing 移动云计算连接即服务的自适应配置

2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2014-04-08 DOI: 10.1109/MobileCloud.2014.33

Ines Ayadi, N. Simoni

引用次数: 5

A Cloud-Based Mobile Data Analytics Framework: Case Study of Activity Recognition Using Smartphone 基于云的移动数据分析框架:使用智能手机的活动识别案例研究

2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2014-04-08 DOI: 10.1109/MobileCloud.2014.29

Bingchuan Yuan, J. Herbert

{"title":"A Cloud-Based Mobile Data Analytics Framework: Case Study of Activity Recognition Using Smartphone","authors":"Bingchuan Yuan, J. Herbert","doi":"10.1109/MobileCloud.2014.29","DOIUrl":"https://doi.org/10.1109/MobileCloud.2014.29","url":null,"abstract":"Unobtrusive gathering of personal or environmental data using a smartphone can provide the basis for intelligent assistive services. Continuous gathering of data will result in huge amounts of data, especially if many users are involved. Ideally, one might want to keep a large amount of this raw data for future (and maybe different) analysis, and also analyse the data to produce a compact model which can be used in the smartphone for real-time analysis of new data. This motivates a cloud computing solution where data from many users can be stored and analysed efficiently, and then the compact results of the analysis can be downloaded and used in the smartphone. This cloud-based approach is demonstrated using a case study of an activity monitoring application which might be used, for example, to monitor the daily activities, such as walking or going upstairs, of an at-risk person living alone. The cloud-based machine learning uses multiple classification methods, and, starting from individual training sets, enhances and builds classification models for each individual. The cloud-based system also builds a universal model based on all users which can be used as the initial classification model for a new user. The classification model produced by the cloud-based system is downloaded to the smartphone, and can be used to produce accurate real-time activity analysis. As more data is gathered and continually uploaded to the cloud, the models are adapted using an unsupervised learning approach to produce enhanced models which are then downloaded on to the smartphone for improved real-time activity analysis. The evaluation results indicate that the proposed approach can robustly identify activities across multiple individuals: using model adaptation the activity recognition achieves over 95% accuracy in a real usage environment.","PeriodicalId":216752,"journal":{"name":"2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133151115","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: 17

Computational Offloading or Data Binding? Bridging the Cloud Infrastructure to the Proximity of the Mobile User 计算卸载还是数据绑定?桥接云基础设施接近移动用户

2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2014-04-08 DOI: 10.1109/MobileCloud.2014.15

Huber Flores, S. Srirama, R. Buyya

{"title":"Computational Offloading or Data Binding? Bridging the Cloud Infrastructure to the Proximity of the Mobile User","authors":"Huber Flores, S. Srirama, R. Buyya","doi":"10.1109/MobileCloud.2014.15","DOIUrl":"https://doi.org/10.1109/MobileCloud.2014.15","url":null,"abstract":"Mobile and cloud computing are converging as the prominent technologies that are leading the change to the post personal computing (PC) era. Computational offloading and data binding are the core techniques that foster to elastically augment the capabilities of low-power devices, such as smartphones. Mobile applications may be bonded to cloud resources by following a task delegation or code offloading criteria. In a delegation model, a handset can utilize the cloud in a service-oriented manner to delegate asynchronously a resource-intensive mobile task by direct invocation of the service. In contrast, in an offloading model, a mobile application is partitioned and analyzed so that the most computational expensive operations at code level can be identified and offloaded to a remote cloud-based surrogate. We compared in this paper, the mobile cloud computing models for offloading and delegation. We utilized our own frameworks for computational offloading and data binding in the analysis. While in principle, offloading and delegation are viable methods to augment the capabilities of the mobile devices with cloud power, they enrich the mobile applications from different perspectives at diverse computational scales.","PeriodicalId":216752,"journal":{"name":"2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129536973","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: 34

Semi-Automatic 2D to 3D Video Conversion Based on Relative Velocity Estimation 基于相对速度估计的半自动2D到3D视频转换

2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2014-04-08 DOI: 10.1109/MobileCloud.2014.39

T. Tsai, Chen-Shuo Fan

引用次数: 0

A Multi-token Authorization Strategy for Secure Mobile Cloud Computing 安全移动云计算的多令牌授权策略

2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2014-04-08 DOI: 10.1109/MobileCloud.2014.21

Azeem Ahmad, M. M. Hassan, Abdul Aziz

{"title":"A Multi-token Authorization Strategy for Secure Mobile Cloud Computing","authors":"Azeem Ahmad, M. M. Hassan, Abdul Aziz","doi":"10.1109/MobileCloud.2014.21","DOIUrl":"https://doi.org/10.1109/MobileCloud.2014.21","url":null,"abstract":"Cloud computing is an emerging paradigm shifting the shape of computing models from being a technology to a utility. However, security, privacy and trust are amongst the issues that can subvert the benefits and hence wide deployment of cloud computing. With the introduction of omnipresent mobile-based clients, the ubiquity of the model increases, suggesting a still higher integration in life. Nonetheless, the security issues rise to a higher degree as well. The constrained input methods for credentials and the vulnerable wireless communication links are among factors giving rise to serious security issues. To strengthen the access control of cloud resources, organizations now commonly acquire Identity Management Systems (IdM). This paper presents that the most popular IdM, namely OAuth, working in scope of Mobile Cloud Computing has many weaknesses in authorization architecture. In particular, authors find two major issues in current IdM. First, if the IdM System is compromised through malicious code, it allows a hacker to get authorization of all the protected resources hosted on a cloud. Second, all the communication links among client, cloud and IdM carries complete authorization token, that can allow hacker, through traffic interception at any communication link, an illegitimate access of protected resources. We also suggest a solution to the reported problems, and justify our arguments with experimentation and mathematical modeling.","PeriodicalId":216752,"journal":{"name":"2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121328984","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: 21

A Cloud-Based Transcoding Framework for Real-Time Mobile Video Conferencing System 基于云的实时移动视频会议系统转码框架

2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2014-04-08 DOI: 10.1109/MobileCloud.2014.31

Rui Cheng, Wenjun Wu, Yihua Lou, Yongquan Chen

引用次数: 26

Information Aggregation for Collaborative Sensing in Mobile Cloud Computing 移动云计算中协同感知的信息聚合

2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2014-04-08 DOI: 10.1109/MobileCloud.2014.23

Radhika Loomba, Lei Shi, B. Jennings, R. Friedman, John Kennedy, Joe Butler

{"title":"Information Aggregation for Collaborative Sensing in Mobile Cloud Computing","authors":"Radhika Loomba, Lei Shi, B. Jennings, R. Friedman, John Kennedy, Joe Butler","doi":"10.1109/MobileCloud.2014.23","DOIUrl":"https://doi.org/10.1109/MobileCloud.2014.23","url":null,"abstract":"The proliferation of smart mobile devices, having multiple sensing capabilities and significant computing power, enables their inclusion into mobile sensing systems. Sensor-driven mobile applications are drastically altering various sectors like healthcare, social networks and environmental monitoring. However, using a large number of mobile devices has an impact on the viability of techniques involved in sensing systems. Moreover, continuous sensing affects the battery performance of the mobile device. This motivates a need for energy efficient sensor-data collection with a minimum number of mobile devices. This paper presents an algorithm that makes a trade-off between the energy consumption and the number of involved mobile devices in the sensing environment, subject to satisfying the sensing needs of multiple applications. We compare our algorithm with an energy-efficient solution for sensor allocation. Results show that our algorithm suffers from less than 6% battery loss difference while reducing the number of involved mobile devices by more than 30%.","PeriodicalId":216752,"journal":{"name":"2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116314939","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: 6