2015 IEEE International Conference on Mobile Services最新文献

{"title":"Scheduling Management for Multiple Real-Time Data over On-Demand Mobile Environments","authors":"Ding-Jung Chiang, Ching-Sheng Wang, Chien-Liang Chen, Wen-Jay Lo","doi":"10.1109/MobServ.2015.59","DOIUrl":"https://doi.org/10.1109/MobServ.2015.59","url":null,"abstract":"Many time-constraint applications operate on continuous queries and need real-time data services in on-demand mobile environments. Providing deadline guarantees for queries over dynamic multiple data is a challenging problem due to continuous query rates and time-varying contents. The accurately approximated optimum distributions is used to obtain analytical expressions for performance metrics such as average real-time miss rate and outage probability. The normal probability distribution function of client request to channel hopping is approximated. In the analysis multiple channel model based on currently transmitting is considered over independent and not identically distributed wireless channels. In addition the performance of currently transmitting is compared with the QoS-based management scheme for real-time query processing. The numerical results are validated by linear programming simulations. It is shown that for broadcasting real-time data placement, this contribution is very useful and efficient for exact performance analysis and design of wireless multi-channel links.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"23 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":"115308096","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}

{"title":"VDHM: Viewport-DOM Based Heat Maps as a Tool for Visually Aggregating Web Users' Interaction Data from Mobile and Heterogeneous Devices","authors":"F. Lamberti, G. Paravati","doi":"10.1109/MobServ.2015.15","DOIUrl":"https://doi.org/10.1109/MobServ.2015.15","url":null,"abstract":"Knowing how users interact with Web contents is essential in order to design more effective Web pages and sites. A way to get the data needed for studying Web activity is via analytics tools that, given the amount of information to be processed, generally support the interpretation of results via graphics representations of either raw or aggregated data. With aggregated data, it is quite common to use heat maps, i.e., Visual diagrams where colors can depict, among others, the amount of clicks/taps on a given region of the Web page or the areas that are reached more frequently when the page is scrolled. However, existing view port-based solutions are not designed to aggregate data about the areas that received users' attention when page visualization may change from one device to another. In this paper, a framework capable to support a better understanding of a Web page as a unique information container by collecting information about mobile users' activity on multiple devices and visualizing it in an aggregated map on a per-element rather than a per-region basis is reported.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"12 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":"116212045","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}

{"title":"Distributed Architecture for Mobile Contextual Integrated Field Work Applications","authors":"R. S. Filho, Anuj Tewari","doi":"10.1109/MobServ.2015.21","DOIUrl":"https://doi.org/10.1109/MobServ.2015.21","url":null,"abstract":"The current generation of corporate software tools & applications were not designed to support the unique needs of industrial field service work. Business software applications such as project management and time keeping, for example, are typically designed for traditional desktop computing office environments. As such, they assume low user mobility, high network availability and WIMP (Windows, Icons, Menus, and Pointer) user interfaces. These are also agnostic to physical environment context and are loosely integrated with one another, often requiring users to maintain duplicated information records. As a result, Field Services Personnel as Engineers, Superintendents and Craftsmen end up spending significant amount of their work time dealing with the consequences of these inefficiencies. In this paper, we describe a distributed architecture for mobile, contextual and integrated fieldwork software applications (or MCI) designed for mobile and wearable computing platforms. This software architecture defines a contextual and mobility-aware client side API, a flexible integration middleware, and instrumented backend services. We show how MCI can enable the construction of portable, mobile, context-aware and integrated software applications discussing its use in the implementation of Smart Outage, a mobile app used for automating common tasks in Field Engineering work.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"1 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":"125727983","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}

{"title":"Lightweight Mobile Web Service Provisioning for Sensor Mediation","authors":"M. Liyanage, Chii Chang, S. Srirama","doi":"10.1109/MobServ.2015.18","DOIUrl":"https://doi.org/10.1109/MobServ.2015.18","url":null,"abstract":"Emerging sensor-embedded smartphones motivated the mobile sensing researches. With the integrated embedded hardware and software sensor components, and mobile network technologies, smartphones are capable of providing various environmental context information via embedded mobile device-hosted Web services (MWS). MWS enhance the capability of various mobile sensing applications such as mobile crowd sensing, real time mobile health monitoring, mobile social network in proximity and so on. Although recent smartphones are quite capable in terms of mobile data transmission speed and computation power, the frequent usage of high performance multi-core mobile CPU and the high speed 3G/4G mobile Internet data transmission will quickly drain the battery power of the mobile device. Numerous previous researches have tried to overcome the resource intensive issues in mobile embedded service provisioning domain. However, most of the efforts were constrained because of the underlying resource intensive technologies. This paper proposes a lightweight mobile Web service provisioning framework for mobile sensing. The framework utilizes the technologies that were designed for constrained Internet of Things environment to achieve the lightweight mobile Web service provisioning. The prototype experimental results show that the proposed framework can provide higher throughput and less resource consumption than the traditional mobile Web service frameworks.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"130 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":"128513480","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}

{"title":"Efficient Sensor Placement Optimization for Early Detection of Contagious Outbreaks in Mobile Social Networks","authors":"Chuan Zhou, Ruisheng Shi, W. Zang, Li Guo","doi":"10.1109/MobServ.2015.45","DOIUrl":"https://doi.org/10.1109/MobServ.2015.45","url":null,"abstract":"In this paper, we investigate the problem of placing sensors in a mobile social network to get quickly informed about contagious outbreaks, i.e., placing k sensors in a network in order to minimize the time until a contaminant - starting from a random node in the network - is detected. We aim to optimize the Sensor Placement from two complementary directions. One is to improve the original greedy algorithm and its extensions [13] to reduce sensor selection time, and the other is to propose a new Quickest Path heuristic that can shorten the detection time. We test and compare our algorithms with previous algorithms on four real data sets. Experimental results show that 1) the new greedy algorithm is more efficient than existing greedy algorithms in terms of selection time, 2) the quickest path heuristic obtains less detection time than centrality-based heuristics, and is as effective as the greedy algorithms, and 3) the new heuristic has the potential to scale well to large networks, having low detection time and selection time.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"206 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":"133091367","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}

{"title":"Improving Resource Utilization of a Cloud-Based Testing Platform for Android Applications","authors":"Chien-Hung Liu, Shu-Ling Chen, Woei-Kae Chen","doi":"10.1109/MobServ.2015.37","DOIUrl":"https://doi.org/10.1109/MobServ.2015.37","url":null,"abstract":"The Cloud Testing Platform (CTP) is a cloud-based system for testing Android applications (apps). It can be used to test whether an Android app can provide consistent user experiences on diverse devices developed by different manufacturers with customized specifications and operating system versions. The CTP employs virtual machines (VMs) to interact with various mobile devices currently for performing tests. However, improper size of VM pool and unbalanced loads on devices can result in low resource utilization or increase the response time of tests. To manage the resources of CTP more effectively, this paper presents a resource adaptation strategy that can adjust the number of VMs dynamically based on the workload of CTP and the number of available devices and can balance the loads across multiple devices of the same type to improve their usages and the average waiting time of tests. Experimental results indicate that the proposed strategy can be promising on improving the resource utilization of CTP.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"107 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":"124228746","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}

{"title":"Physically Unclonable Digital ID","authors":"Sung Choi, David Zage, Yung Ryn Choe, Brent Wasilow","doi":"10.1109/MobServ.2015.24","DOIUrl":"https://doi.org/10.1109/MobServ.2015.24","url":null,"abstract":"The Center for Strategic and International Studies estimates the annual cost from cyber crime to be more than $400 billion. Most notable is the recent digital identity thefts that compromised millions of accounts. These attacks emphasize the security problems of using clonable static information. One possible solution is the use of a physical device known as a Physically Unclonable Function (PUF). PUFs can be used to create encryption keys, generate random numbers, or authenticate devices. While the concept shows promise, current PUF implementations are inherently problematic: inconsistent behavior, expensive, susceptible to modeling attacks, and permanent. Therefore, we propose a new solution by which an unclonable, dynamic digital identity is created between two communication endpoints such as mobile devices. This Physically Unclonable Digital ID (PUDID) is created by injecting a data scrambling PUF device at the data origin point that corresponds to a unique and matching descrambler/hardware authentication at the receiving end. This device is designed using macroscopic, intentional anomalies, making them inexpensive to produce. PUDID is resistant to cryptanalysis due to the separation of the challenge response pair and a series of hash functions. PUDID is also unique in that by combining the PUF device identity with a dynamic human identity, we can create true two-factor authentication. We also propose an alternative solution that eliminates the need for a PUF mechanism altogether by combining tamper resistant capabilities with a series of hash functions. This tamper resistant device, referred to as a Quasi-PUDID (Q-PUDID), modifies input data, using a black-box mechanism, in an unpredictable way. By mimicking PUF attributes, Q-PUDID is able to avoid traditional PUF challenges thereby providing high-performing physical identity assurance with or without a low performing PUF mechanism. Three different application scenarios with mobile devices for PUDID and Q-PUDID have been analyzed to show their unique advantages over traditional PUFs and outline the potential for placement in a host of applications.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"50 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":"128580320","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}

{"title":"A Study of a Life Logging Smartphone App and Its Power Consumption Observation in Location-Based Service Scenario","authors":"F. Huang, Yu-Hsiang Huang, Christopher Szu, A. S. Sue, Meng Chang Chen, Yeali S. Sun","doi":"10.1109/MobServ.2015.40","DOIUrl":"https://doi.org/10.1109/MobServ.2015.40","url":null,"abstract":"AN Trip system is a location-based way for recording travels, sharing sensations, and deepening life experiences. Various researches and products have been proposed to create location-based services and crowd sourcing activities and to explore the power of geographical knowledge and human computation. We devised AN Trip to assist users in managing trajectory-based travel information. The incentive for participation is a big challenge for such types of application. To improve user experience and system usability, we held three promotion activities to spread and refine this urban computing service. Furthermore, for such a kind of all-day-long location recording services, power usage turns into the decisive factor of whether an app can survive in users' smartphones. We planned a series of experiments to observe the power consumption of existing positioning techniques in AN Trip usage. Finally, the service challenges, activity observations, and experiment discoveries were organized to consolidate our experiences with location-based services and urban computing development.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"35 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":"116671262","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}

{"title":"An Audio and Image-Based On-Demand Content Annotation Framework for Augmenting the Video Viewing Experience on Mobile Devices","authors":"Valentina Gatteschi, F. Lamberti, A. Sanna, C. Demartini","doi":"10.1109/MobServ.2015.71","DOIUrl":"https://doi.org/10.1109/MobServ.2015.71","url":null,"abstract":"The availability of annotated multimedia contents is a crucial requirement for a number of applications. In the context of education it could support the automatic summarization of recorded lessons or the retrieval of learning material. In the field of entertainment, it could serve to recommend audio and video resources based on user's attitudes. In this work, a framework supporting video viewing experience augmentation on mobile devices by means of image- and text-based annotations extracted on-demand from Wikipedia is presented. Speech recognition is exploited to periodically get text snaps from the audio track of the video currently displayed on the mobile device, while query-by-images is used to generate a text summary of extracted video frames. Keywords obtained are treated by semantic techniques to find named entities associated with the multimedia contents, which are then superimposed to the video and displayed to the user in a synchronized way. Promising results obtained with a prototype implementation showed the feasibility of the proposed solution, which could be possibly combined with other systems, e.g., Providing information about user's location, preferences, etc. To build up more sophisticated context-aware applications.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"38 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":"121603972","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}

{"title":"A Latent Group Model for Group Recommendation","authors":"Jinghan Shi, Bin Wu, Xiuqin Lin","doi":"10.1109/MobServ.2015.41","DOIUrl":"https://doi.org/10.1109/MobServ.2015.41","url":null,"abstract":"Increasingly, thousands of mobile services are provided by mobile Internet service portals. In order to push information that users may fond of, recommender system is needed. In some circumstances, recommendation to groups is necessary, e.g., Recommending movies to a group of friends. In reality, users are in some hidden social network, which can be viewed as groups. So group recommendation is proposed. Time efficiency is a key problem in mobile group recommendation. Research on group recommendation have concentrated on two approaches: aggregating members' ratings into a group profile and aggregating users' recommendations into a group recommendation list. This paper proposes a latent group model LGM, based on the assumption that users are influenced implicitly by some latent factors. LGM presents a novel route to detect groups by taking latent factors into account and makes users' profiles exist in latent factor format. Then users' latent factor profiles are aggregated into a group profile and multiplying method is used for group recommendation. This paper compares LGM with two approaches proposed before in efficiency and accuracy. It achieves better efficiency and accuracy for group recommendation on Movie Lens dataset.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"24 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":"125543479","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}