10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing最新文献_第2页

Role-playing game for studying user behaviors in security: A case study on email secrecy 基于角色扮演的用户安全行为研究——以电子邮件保密为例

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-11-11 DOI: 10.4108/ICST.COLLABORATECOM.2014.257242

Kui Xu, D. Yao, Manuel A. Pérez-Quiñones, Casey Link, E. Geller

引用次数: 5

Defensive maneuver cyber platform modeling with Stochastic Petri Nets 基于随机Petri网的防御机动网络平台建模

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-11-11 DOI: 10.4108/ICST.COLLABORATECOM.2014.257559

W. Moody, Hongxin Hu, A. Apon

引用次数: 17

Multi-objective optimization based location and social network aware recommendation 基于位置和社交网络感知的多目标优化推荐

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-11-11 DOI: 10.4108/ICST.COLLABORATECOM.2014.257382

Makbule Gülçin Özsoy, Faruk Polat, R. Alhajj

{"title":"Multi-objective optimization based location and social network aware recommendation","authors":"Makbule Gülçin Özsoy, Faruk Polat, R. Alhajj","doi":"10.4108/ICST.COLLABORATECOM.2014.257382","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257382","url":null,"abstract":"Social networks, personal blog pages, on-line transaction web-sites, expertise web pages and location based social networks provide an attractive platform for millions of users to share opinions, comments, ratings, etc. Having this kind of diverse and comprehensive information leads to difficulties for users to reach the most appropriate and reliable conclusions. Recommendation systems form one of the solutions to deal with the information overload problem by providing personalized services. Using spatial, temporal and social information on recommender systems is a recent trend that increases the performance. Also, taking into account more than one criterion can improve the performance of the recommender systems. In this paper, a location and social network aware recommender system enhanced with multi objective filtering is proposed and described. The results show that the proposed method reaches high coverage while preserving precision. Besides, the proposed method is not affected by the range of ratings and provides persistent results in different settings.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131460137","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: 13

Exploring HPC-based scientific software as a service using CometCloud 使用CometCloud探索基于高性能计算的科学软件服务

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-11-11 DOI: 10.4108/ICST.COLLABORATECOM.2014.257833

Moustafa AbdelBaky, J. Montes, Michael Johnston, Vipin Sachdeva, Richard L. Anderson, K. E. Jordan, M. Parashar

{"title":"Exploring HPC-based scientific software as a service using CometCloud","authors":"Moustafa AbdelBaky, J. Montes, Michael Johnston, Vipin Sachdeva, Richard L. Anderson, K. E. Jordan, M. Parashar","doi":"10.4108/ICST.COLLABORATECOM.2014.257833","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257833","url":null,"abstract":"The use of in-silico simulations in experimental science can greatly increase laboratory efficiency and provide additional insights into interactions not easily described by traditional methods. Such simulations require significant amounts of computational resources, accessible only via supercomputers of large-scale high-performance clusters. Due to the complexity of the computational experiments, as well as the usage of the underlying resources, experimental scientists heavily rely on computational scientists with HPC expertise to perform these simulations. This additional bottleneck prevents the widespread adoption of real time in-silico simulation as a driver for laboratory experimentation. In this paper, we aim to overcome this bottleneck by presenting the architecture of an end-to-end framework to enable HPC Software as a Service. This framework is designed to make it easy for scientific applications to run on top of dynamically federated HPC resources. The framework enables HPC resource sharing while maximizing throughput and utilization. We focus specifically on a use case where an experimental scientist uses a mobile portal to control dissipative particle dynamics experiments that are executed on a remote supercomputer (IBM Blue Gene/Q).","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121256108","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: 7

Flexible IoT middleware for integration of things and applications 灵活的物联网中间件，用于集成事物和应用程序

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-11-11 DOI: 10.4108/ICST.COLLABORATECOM.2014.257533

Joseph Boman, Jonathan Taylor, A. Ngu

引用次数: 24

SAGE2: A new approach for data intensive collaboration using Scalable Resolution Shared Displays SAGE2:使用可缩放分辨率共享显示的数据密集型协作新方法

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-11-11 DOI: 10.4108/ICST.COLLABORATECOM.2014.257337

T. Marrinan, Jillian Aurisano, Arthur Nishimoto, Krishna Bharadwaj, V. Mateevitsi, L. Renambot, Lance Long, Andrew E. Johnson, J. Leigh

{"title":"SAGE2: A new approach for data intensive collaboration using Scalable Resolution Shared Displays","authors":"T. Marrinan, Jillian Aurisano, Arthur Nishimoto, Krishna Bharadwaj, V. Mateevitsi, L. Renambot, Lance Long, Andrew E. Johnson, J. Leigh","doi":"10.4108/ICST.COLLABORATECOM.2014.257337","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257337","url":null,"abstract":"Current web-based collaboration systems, such as Google Hangouts, WebEx, and Skype, primarily enable single users to work with remote collaborators through video conferencing and desktop mirroring. The original SAGE software, developed in 2004 and adopted at over one hundred international sites, was designed to enable groups to work in front of large shared displays in order to solve problems that required juxtaposing large volumes of information in ultra high-resolution. We have developed SAGE2, as a complete redesign and implementation of SAGE, using cloud-based and web browser technologies in order to enhance data intensive co-located and remote collaboration. This paper provides an overview of SAGE2's infrastructure, the technical design challenges, and the afforded benefits to data intensive collaboration. Lastly, we provide insight on how future collaborative applications can be developed to support large displays and demonstrate the power and flexibility that SAGE2 offers in collaborative scenarios through a series of use cases.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116460271","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: 125

SideBar: Videoconferencing system supporting social engagement 侧栏:支持社会参与的视频会议系统

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-11-11 DOI: 10.4108/ICST.COLLABORATECOM.2014.257335

M. Esbensen, Paolo Tell, J. Bardram

引用次数: 6

Towards composable prediction of contact groups 面向接触组的可组合预测

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-11-11 DOI: 10.4108/ICST.COLLABORATECOM.2014.257329

Andrew Ghobrial, Jacob W. Bartel, P. Dewan

{"title":"Towards composable prediction of contact groups","authors":"Andrew Ghobrial, Jacob W. Bartel, P. Dewan","doi":"10.4108/ICST.COLLABORATECOM.2014.257329","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257329","url":null,"abstract":"Users' contacts often need to be grouped into equivalence classes for various purposes such as easily sending a message to all members of the group. Several approaches have been recently developed to make such predictions (a) for both ephemeral and persistent groups (b) in both email and social networks systems. However, no research has attempted to compare these approaches or compose them by using ideas of one in another. We have taken a step in this direction. We have developed and compared multiple approaches to predicting persistent contact groups in email. These approaches compose an algorithm that generates friend lists in Facebook from a social graph with different techniques for generating the social graph. One of these techniques is based on a scoring algorithm used by Google to predict ephemeral groups incrementally. To compare the approaches we ran a user study involving 19 participants and used two simple metrics that calculated the average percentage difference between a predicted group and the group of addresses in a future message. The evaluation showed that using the Google score was the best approach though it offered very small improvements over all but one of the simpler methods.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129082371","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: 2

A real time provider identity verification service for a trusted telehealth video collaboration 用于可信远程医疗视频协作的实时提供者身份验证服务

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-11-11 DOI: 10.4108/ICST.COLLABORATECOM.2014.257620

Rajesh Vargheese, Prashant Prabhudesai

{"title":"A real time provider identity verification service for a trusted telehealth video collaboration","authors":"Rajesh Vargheese, Prashant Prabhudesai","doi":"10.4108/ICST.COLLABORATECOM.2014.257620","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257620","url":null,"abstract":"Video based telehealth is emerging as an important technology for effective and efficient collaboration between providers and patients. The advantages of receiving care at source not only account for convenience and cost effectiveness but also enable faster access to care. It brings access, experience and efficiencies in the care process. While there are multiple models of telehealth, in this work, we will focus on an on demand telehealth appointment between a provider and a patient. Given that the patient might not have a previous care relationship with the provider, it is extremely important to ensure that the patient is assured that the provider that he is communicating with is verified by a trusted third-party verification service. Today, basic methods such as authentication and authorization are used to verify the identity of the provider at entry. In this work, we take this model further by proposing a real-time in-session provider identity verification service. This leverages video stream analytics and computer vision models to validate the person involved in the session by a third-party verification service. We propose an architecture and method for enabling such a service, which will enhance the trust model - a critical factor in the adoption of on-demand telehealth.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129266678","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: 0

A distributed polygon retrieval algorithm using MapReduce 基于MapReduce的分布式多边形检索算法

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-11-11 DOI: 10.5194/ISPRSANNALS-II-4-W2-51-2015

Qiulei Guo, Balaji Palanisamy, H. Karimi

{"title":"A distributed polygon retrieval algorithm using MapReduce","authors":"Qiulei Guo, Balaji Palanisamy, H. Karimi","doi":"10.5194/ISPRSANNALS-II-4-W2-51-2015","DOIUrl":"https://doi.org/10.5194/ISPRSANNALS-II-4-W2-51-2015","url":null,"abstract":"The proliferation of data acquisition devices like 3D laser scanners had led to the burst of large-scale spatial terrain data which imposes many challenges to spatial data analysis and computation. With the advent of several emerging collaborative cloud technologies, a natural and cost-effective approach to managing such large-scale data is to store and share such datasets in a publicly hosted cloud service and process the data within the cloud itself using modern distributed computing paradigms such as MapReduce. For several key spatial data analysis and computation problems, polygon retrieval is a fundamental operation which is often computed under real-time constraints. However, existing sequential algorithms fail to meet this demand effectively given that terrain data in recent years have witnessed an unprecedented growth in both volume and rate. In this work, we develop a MapReduce-based parallel polygon retrieval algorithm which aims at minimizing the IO and CPU loads of the map and reduce tasks during spatial data processing. The results of the preliminary experiments on a Hadoop cluster demonstrate that the proposed techniques are scalable and lead to more than 35% reduction in execution time of the polygon retrieval operation over existing distributed algorithms.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"80 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131258719","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: 3