2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)最新文献

Hybrid Secure and Scalable Electronic Health Record Sharing in Hybrid Cloud 混合云中混合安全和可扩展的电子健康记录共享

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-06-12 DOI: 10.1109/MobileCloud.2017.38

R. Manoj, A. Alsadoon, P. Prasad, N. Costadopoulos, Salih Ali

引用次数: 16

HVC: A Hybrid Cloud Computing Framework in Vehicular Environments HVC:汽车环境中的混合云计算框架

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-06-08 DOI: 10.1109/MobileCloud.2017.9

Jingyun Feng, Zhi Liu, Celimuge Wu, Yusheng Ji

引用次数: 14

Dynamic Fault-Tolerance and Mobility Provisioning for Services on Mobile Cloud Platforms 移动云平台服务的动态容错与移动性配置

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-06-08 DOI: 10.1109/MobileCloud.2017.7

P. Stahl, Jonatan Broberg, B. Landfeldt

引用次数: 6

Cloud-Enabled Hybrid Architecture for In-Class Interactive Learning Using Mobile Device 使用移动设备进行课堂互动学习的云支持混合架构

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-04-06 DOI: 10.1109/MOBILECLOUD.2017.15

M. Fuad, D. Deb

{"title":"Cloud-Enabled Hybrid Architecture for In-Class Interactive Learning Using Mobile Device","authors":"M. Fuad, D. Deb","doi":"10.1109/MOBILECLOUD.2017.15","DOIUrl":"https://doi.org/10.1109/MOBILECLOUD.2017.15","url":null,"abstract":"Mobile learning environments have the benefit of facilitating real time student learning and assessment. However, most of such learning environments only support static or traditional learning activities. In STEM disciplines, we need more active and engaging activities and mobile learning environments should be able to support such dynamic activities. By designing such learning environments to run completely on the cloud will limit its extensibility and will not accommodate interactive activities developed by anyone other than the developer of such learning environment. Instead, we argue that by incorporating cloud services in a traditional software architecture will allow the flexibility to develop and deploy interactive problem solving activities along with versatility that cloud computing brings. This paper presents Mobile Response System (MRS) that facilitates in-class interactive problem solving using mobile devices. MRS uses cloud services in the infrastructure to minimize instructor's workload, gives students transparent access, and makes the system failsafe alongside providing extensibility to any discipline.","PeriodicalId":106143,"journal":{"name":"2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125085157","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: 10

A Framework for Cloud Forensic Readiness in Organizations 组织中的云取证准备框架

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-04-06 DOI: 10.1109/MobileCloud.2017.12

A. Alenezi, R. K. Hussein, R. Walters, G. Wills

引用次数: 26

Achieving RBAC on RESTful APIs for Mobile Apps Using FHIR 使用FHIR在移动应用的RESTful api上实现RBAC

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-04-06 DOI: 10.1109/MobileCloud.2017.22

Yaira K. Rivera Sánchez, S. Demurjian, Mohammed S. Baihan

{"title":"Achieving RBAC on RESTful APIs for Mobile Apps Using FHIR","authors":"Yaira K. Rivera Sánchez, S. Demurjian, Mohammed S. Baihan","doi":"10.1109/MobileCloud.2017.22","DOIUrl":"https://doi.org/10.1109/MobileCloud.2017.22","url":null,"abstract":"Health Information Exchange (HIE) provides a morecomplete health record of an individual that improves patientcare with relevant data gathered from multiple healthinformation technology (HIT) systems. In support of HIE, theHealth Level Seven (HL7) XML standard was developed tomanage, exchange, integrate, and retrieve electronic healthinformation. In 2011, HL7 began drafting a next-generationstandard, Fast Healthcare Interoperable Resources (FHIR), tofacilitate the development and interaction of mobile health(mHealth) apps, HIT data sharing, and common format forinformation modeling. FHIR is based on RESTful APIs andsupported by a FHIR server infrastructure that facilitates theexchange in a cloud computing setting. FHIR while possessing asecurity specification, has yet to define and identify actualsecurity mechanisms for secure data exchange via RESTful APIcalls. In this paper, we incorporate role-based access control(RBAC) into FHIR to support the ability to control access ofwho can call which services of FHIR RESTful APIs that managesensitive healthcare data. The work is demonstrated utilizing amHealth application that communicates with the OpenEMRelectronic health record via the HAPI FHIR server.","PeriodicalId":106143,"journal":{"name":"2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131464728","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: 15

A Framework and the Design of Secure Mobile Cloud with Smart Load Balancing 具有智能负载均衡的安全移动云框架与设计

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-04-06 DOI: 10.1109/MobileCloud.2017.41

I. Cushman, Md. Baitul Al Sadi, Lei Chen, Rami J. Haddad

{"title":"A Framework and the Design of Secure Mobile Cloud with Smart Load Balancing","authors":"I. Cushman, Md. Baitul Al Sadi, Lei Chen, Rami J. Haddad","doi":"10.1109/MobileCloud.2017.41","DOIUrl":"https://doi.org/10.1109/MobileCloud.2017.41","url":null,"abstract":"The use of mobile devices has exponentially expanded in recent years. A device which was made with the sole purpose of making mobile audio phone calls is now the leading basis for functionality in the social world. The types of applications widely vary from audio and video calls, internet browsing, healthcare applications, to mobile games with online connectivity, among many others. These applications have expanded the original idea of what a mobile device could be, however there have been constant drawbacks to these devices, namely short battery life and limited available storage memory. Another current issue that exists with mobile devices is the higher data consumption when on mobile network data. To solve this problem, it is possible to use cloud computing to mitigate these large applications and use less data. Integrating in a mobile cloud system to allocate and store these applications will allow for the mobile devices to conserve battery and memory by avoiding large computational processes. Another major concern is security breaches resulting in data theft and/or invasion of privacy. In this paper, we present a new framework that will allow for a smart load balancer to efficiently allocate resources to increase application processing speed for data and request response of memory stored by mobile devices in a secure manner.","PeriodicalId":106143,"journal":{"name":"2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114348114","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

Mobility Prediction for Efficient Resources Management in Vehicular Cloud Computing 车辆云计算中高效资源管理的移动性预测

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-04-06 DOI: 10.1109/MobileCloud.2017.24

A. M. Mustafa, Omar M. Abubakr, Omar Ahmadien, Ahmed Ahmedin, B. Mokhtar

{"title":"Mobility Prediction for Efficient Resources Management in Vehicular Cloud Computing","authors":"A. M. Mustafa, Omar M. Abubakr, Omar Ahmadien, Ahmed Ahmedin, B. Mokhtar","doi":"10.1109/MobileCloud.2017.24","DOIUrl":"https://doi.org/10.1109/MobileCloud.2017.24","url":null,"abstract":"Vehicular Cloud Computing (VCC) has becomea significant research area recently, due to its potentialadvantages and applications, especially in the field ofIntelligent Transportation Systems (ITS). However, thehigh mobility of vehicular environment poses crucial challengesto resources allocation and management in VCC, which makesits implementation more complex than conventional clouds. Many works have been introduced to address various issuesand aspects of VCC, including resources management andVirtual Machine Migration in vehicular clouds. However, usingmobility prediction in VCC has not been studied previously. Inthis paper, we introduce a novel solution to reduce the effect ofresources mobility on the performance of vehicular cloud, usingan efficient resources management scheme based on vehiclesmobility prediction. This approach enables the vehicular cloudto take pre-planned procedures, based on the output of anArtificial Neural Network (ANN) mobility prediction model. The aim is to reduce the negative impact of sudden changes invehicles locations on vehicular cloud performance. A simulationscenario is introduced to compare between the performanceof our resources management scheme and other resourcesmanagement approaches introduced in the literature. Thesimulation environment is based on Nagel-Shreckenberg cellularautomata (CA) discrete model for traffic simulation. Simulationresults show that our proposed approach has leveraged theperformance of vehicular cloud effectively without overusingavailable vehicular cloud resources.","PeriodicalId":106143,"journal":{"name":"2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123993168","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

ROSAC: A Round-Wise Fair Scheduling Approach for Mobile Clouds Based on Task Asymptotic Complexity 基于任务渐近复杂度的移动云循环公平调度方法

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-04-06 DOI: 10.1109/MobileCloud.2017.36

S. Noor, Ragib Hasan

{"title":"ROSAC: A Round-Wise Fair Scheduling Approach for Mobile Clouds Based on Task Asymptotic Complexity","authors":"S. Noor, Ragib Hasan","doi":"10.1109/MobileCloud.2017.36","DOIUrl":"https://doi.org/10.1109/MobileCloud.2017.36","url":null,"abstract":"Mobile cloud computing has become popular because of its flexible infrastructure and easily accessible storage, sensing, and computing services. However, scheduling and allocating resources for the tasks provided by the cloud user are major challenges in the mobile cloud. The existing scheduling algorithms in the mobile cloud primarily focus on dividing and distributing a single task among multiple devices participating in the mobile cloud. However, when the load on the mobile cloud increases, multiple requests from different users can come at a single time point. The existing scheduling algorithms for distributed systems cannot be implemented in the mobile cloud, because the available resources differ extensively in the mobile cloud depending upon the time, geographic location, incentive policy, etc. While some cloud users' tasks are computed by their specified deadlines, the others suffer heavily. Therefore, we propose ROSAC, a fair scheduling approach based on the complexity of the cloud users' assigned task that minimizes the average delay between the task computation time and users' specified deadline. ROSAC works by round wise task division and distribution where the estimated time of all the subtasks in each round are the same. We design a simulated platform for a mobile cloud and compare the performance of ROSAC with some of the widely used scheduling approaches for distributed systems.","PeriodicalId":106143,"journal":{"name":"2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132391063","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

MEC-ConPaaS: An Experimental Single-Board Based Mobile Edge Cloud MEC-ConPaaS:基于单板的实验性移动边缘云

2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2017-04-06 DOI: 10.1109/MobileCloud.2017.17

Alexandre van Kempen, T. Crivat, Benjamin Trubert, Debaditya Roy, G. Pierre

引用次数: 27