2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)最新文献

Context Aware Mobile Cloud Services: A User Experience Oriented Middleware for Mobile Cloud Computing 上下文感知移动云服务:面向用户体验的移动云计算中间件

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-29 DOI: 10.1109/MobileCloud.2016.13

M. O'Sullivan, D. Grigoras

{"title":"Context Aware Mobile Cloud Services: A User Experience Oriented Middleware for Mobile Cloud Computing","authors":"M. O'Sullivan, D. Grigoras","doi":"10.1109/MobileCloud.2016.13","DOIUrl":"https://doi.org/10.1109/MobileCloud.2016.13","url":null,"abstract":"Existing research on implementing the mobile cloud computing paradigm is typically based on offloading demanding computation from mobile devices to cloud-based servers. A continuous, high quality connection to the cloud infrastructure is normally required, with frequent high-volume data transfer, which can have a detrimental impact on the user experience of the application or service. In this paper, the Context Aware Mobile Cloud Services (CAMCS) middleware is presented as a solution that can deliver an integrated user experience of the mobile cloud to users. Such an experience respects the resource limitations of the mobile device. This is achieved by the Cloud Personal Assistant (CPA), the user's trusted representative within CAMCS, which completes user-assigned tasks using existing cloud-based services, with an asynchronous, disconnected approach. A thin client mobile application, the CAMCS Client, allows the mobile user to send descriptions of tasks to his/her CPA, and view task results saved at the CPA, when convenient. The design and implementation of the middleware is presented, along with results of experimental evaluation on Amazon EC2. The resource usage of the CAMCS client is also studied. Analysis shows that CAMCS delivers an integrated user experience of mobile cloud applications and services.","PeriodicalId":176270,"journal":{"name":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130698481","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: 9

Cybermatics for Cyberization towards Cyber-Enabled Hyper Worlds 面向网络超级世界的网络化控制论

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.17

Jianhua Ma

引用次数: 15

Application Offloading Based on R-OSGi in Mobile Cloud Computing 基于R-OSGi的移动云计算应用卸载

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.19

Sen Yang, Xiangshun Bei, Yongbing Zhang, Yusheng Ji

{"title":"Application Offloading Based on R-OSGi in Mobile Cloud Computing","authors":"Sen Yang, Xiangshun Bei, Yongbing Zhang, Yusheng Ji","doi":"10.1109/MobileCloud.2016.19","DOIUrl":"https://doi.org/10.1109/MobileCloud.2016.19","url":null,"abstract":"In this paper, we proposed and implemented an offloading mechanism for mobile applications based on the R-OSGi framework which supports the Java modular component dynamic services. A mobile application is composed of a number of modules that are eligible for offloading to be executed at a remote server on the Internet and executed at a mobile device. We focused on the problem of how to transfer some modules of a mobile application to the server so as to minimize the total execution time of the whole mobile application. We used a directed tree graph to represent the relationship between the modules of a mobile application. Then, we formulated the offloading problem as a combinatorial optimization problem and proposed two algorithms to solve the offloading problem for a simple-chain application and also for a general application. The proposed algorithms were implemented and examined on the R-OSGi-based framework and the results show that the proposed algorithms are much more efficient than both the cases where no offloading is considered and where all the modules are offloaded to the server.","PeriodicalId":176270,"journal":{"name":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127885388","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

A Remote Engine Health Management System Based on Mobile Cloud Computing 基于移动云计算的远程引擎健康管理系统

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.18

Jian Xiong, Hong Gu

引用次数: 0

Efficient Exploitation of Mobile Edge Computing for Virtualized 5G in EPC Architectures 基于EPC架构的虚拟化5G移动边缘计算高效利用

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.24

E. Cau, M. Corici, P. Bellavista, L. Foschini, G. Carella, A. Edmonds, T. Bohnert

{"title":"Efficient Exploitation of Mobile Edge Computing for Virtualized 5G in EPC Architectures","authors":"E. Cau, M. Corici, P. Bellavista, L. Foschini, G. Carella, A. Edmonds, T. Bohnert","doi":"10.1109/MobileCloud.2016.24","DOIUrl":"https://doi.org/10.1109/MobileCloud.2016.24","url":null,"abstract":"To pave the way towards disclosing the full potential of 5G networking, emerging Mobile Edge Computing techniques are gaining momentum in both academic and industrial research as a means to enhance infrastructure scalability and reliability by moving control functions close to the edge of the network. After the promising results under achievement within the EU Mobile Cloud Networking project, we claim the suitability of deploying Evolved Packet Core (EPC) support solutions as a Service (EPCaaS) over a uniform edge cloud infrastructure of Edge Nodes, by following the concepts of Network Function Virtualization (NFV). This paper originally focuses on the support needed for efficient elasticity provisioning of EPCaaS stateful components, by proposing novel solutions for effective subscribers' state management in quality-constrained 5G scenarios. In particular, to favor flexibility and high-availability against network function failures, we have developed a state sharing mechanism across different data centers even in presence of firewall/network encapsulation. In addition, our solution can dynamically select which state portions should be shared and to which Edge Nodes. The reported experimental results, measured over the widely recognized Open5GCore testbed, demonstrate the feasibility and effectiveness of the approach, as well as its capability to satisfy \"carrier-grade\" quality requirements while ensuring good elasticity and scalability.","PeriodicalId":176270,"journal":{"name":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123609845","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: 67

A Survey of Computational Offloading in Mobile Cloud Computing 移动云计算中计算卸载的研究进展

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.15

Zhaosheng Zhang, Shuyu Li

引用次数: 22

Flexible and Secure Resource Sharing for Mobile Augmentation Systems 移动增强系统灵活安全的资源共享

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.8

Andreas Reiter, Thomas Zefferer

{"title":"Flexible and Secure Resource Sharing for Mobile Augmentation Systems","authors":"Andreas Reiter, Thomas Zefferer","doi":"10.1109/MobileCloud.2016.8","DOIUrl":"https://doi.org/10.1109/MobileCloud.2016.8","url":null,"abstract":"Although mobile end-user devices are getting more and more powerful, they still suffer from limited processing capabilities and battery capacities. To address this problem, the augmentation of mobile devices with resources from surrounding devices or with cloud-based resources has gained popularity in the recent years. Existing solutions that follow this approach and offload computationally intensive tasks already yield great results for specific use cases. Unfortunately, most of these solutions are tailored to specific operating systems or programming languages, and do not support the flexible usage of resources. Furthermore, existing solutions implicitly assume external resources to be trustworthy, which is usually not the case in practice. To overcome these limitations, we introduce a secure and flexible resource-discovery solution for mobile augmentation systems especially targeting the pervasive-computing paradigm. This solution enables a dynamic use of external resources and assures that security-critical computations are offloaded to trusted resources only. We demonstrate the feasibility and applicability of our proposed solution by means of a proof-of-concept implementation. The potential of this implementation to improve performance and save energy at the same time is evaluated by means of two resource-intensive applications. Obtained evaluation results show that the proposed solution significantly speeds up applications on mobile devices and reduces their power consumption by 50%. Thus, the proposed solution enables fast, secure, and energy-saving execution of complex mobile applications.","PeriodicalId":176270,"journal":{"name":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126125459","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

GA-Based Resource Augmentation Negotation for Energy-Optimised Mobile Ad-hoc Cloud 基于ga的能量优化移动自组织云资源增强协商

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.25

E. Benkhelifa, T. Welsh, L. Tawalbeh, Abdallah Khreishah, Y. Jararweh, M. Al-Ayyoub

引用次数: 14

Cloud Computing Potability with Risk Assessment 云计算可移植性与风险评估

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.20

A. Chopra, P. Prasad, A. Alsadoon, S. Ali, A. Elchouemi

引用次数: 6

Standby Energy Analysis and Optimization for Smartphones 智能手机待机能量分析与优化

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.14

Chengke Wang, Yao Guo, Yunnan Xu, Peng Shen, Xiangqun Chen

引用次数: 5