2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)最新文献_第2页

Specifying a Trust Model for Academic Cloud Services 指定学术云服务的信任模型

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.23

K. Yamaji, Motonori Nakamura, Yasuhiro Nagai, T. Ito, Hiroyuki Sato

{"title":"Specifying a Trust Model for Academic Cloud Services","authors":"K. Yamaji, Motonori Nakamura, Yasuhiro Nagai, T. Ito, Hiroyuki Sato","doi":"10.1109/MobileCloud.2016.23","DOIUrl":"https://doi.org/10.1109/MobileCloud.2016.23","url":null,"abstract":"Recently, cloud services have fast emerged as a major form of IT services. They have changed the way of operating global or local services. Notwithstanding these promising features of cloud services, we can see many business sectors that are not very positive for adopting cloud services. One of its major reasons is controllability on security. It is widely believed that a purchasing organization loses control over operation, especially over security when adopting SaaS for their critical businesses. However, the global competition forces business sectors to change their style of thinking. Academia is never an exception. In 2012, Japan AXIES (Academic eXchange for Information Environment and Strategy) released the criteria for adopting cloud services for academic environments. Its scope includes outsourcing major functions of a univeristy management to cloud service providers. In this paper, we analyze the AXIES report in terms of risk analysis. Its security model is analyzed in terms of TPM and SLA. The criticality levels for services are defined. The assurance levels and cloud security levels are required to match a given criticality level. Cloud security model such as CCM and identity trust model such as NIST 800-63 are integrated into a cloudbased trust model.","PeriodicalId":176270,"journal":{"name":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"142 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":"124519452","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: 1

Face Extraction Using Skin Color and PCA Face Recognition in a Mobile Cloudlet Environment 基于肤色的人脸提取和移动云环境下的PCA人脸识别

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.11

Praseetha V M, S. Vadivel

引用次数: 7

Dynamic Improvements in a Cloud-Based Speech Recognition Engine by Incorporating Trending Data 结合趋势数据的基于云的语音识别引擎的动态改进

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.12

Milind Bhavsar, Prudhvi Kosaraju, G. Ananthakrishnan, Gurudas Subray Shet, Saurav Anand

{"title":"Dynamic Improvements in a Cloud-Based Speech Recognition Engine by Incorporating Trending Data","authors":"Milind Bhavsar, Prudhvi Kosaraju, G. Ananthakrishnan, Gurudas Subray Shet, Saurav Anand","doi":"10.1109/MobileCloud.2016.12","DOIUrl":"https://doi.org/10.1109/MobileCloud.2016.12","url":null,"abstract":"With the advancement of speech recognition technologies, there is an increase in the adoption of voice interfaces on mobile-based platforms. While, developing a general purpose Automatic Speech Recognition (ASR) which can understand voice commands is important, the contexts of how people interact with their mobile device change very rapidly. Due to the high processing complexity of the ASR engine, much of the processing of trending data is being carried out on cloudplatforms. Changed content regarding news, music, movies and TV series change the focus of interaction with voice based interfaces. Hence ASR engines trained on a static vocabulary may not be able to adapt to the changing contexts. The focus of this paper is to first describe the problems faced in incorporating dynamically changing vocabulary and contexts into an ASR engine. We then propose a novel solution which shows a relative improvement of 38 percent utterance accuracy on newly added content without compromising on the overall accuracy and stability of the system.","PeriodicalId":176270,"journal":{"name":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"12 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":"131210742","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

Common Platform Architecture for Network Function Virtualization Deployments 网络功能虚拟化部署的通用平台架构

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.10

D. Rajan

{"title":"Common Platform Architecture for Network Function Virtualization Deployments","authors":"D. Rajan","doi":"10.1109/MobileCloud.2016.10","DOIUrl":"https://doi.org/10.1109/MobileCloud.2016.10","url":null,"abstract":"Network Function Virtualization (NFV) provides the technology pathway to meet next-generation application needs for mobile cloud adoption. Underpinning this is the virtualization of core infrastructure, such as compute, storage, and networking. Virtualizing key mobile networking functions, such as access networks (4G, LTE, CDMA, non-3GPP Wi-Fi), transport networks (radio access network [RAN], eNodeB, content delivery network [CDN]), and core networks (Evolved Packet Core [EPC]), IP Multimedia Subsystem [IMS], VoLTE), is now reaching a phase where production-level deployments are starting to happen. There are four key pillars of virtualization that form the basis for NFV. The focus of this paper is how NFV deployment can be achieved, using a \"Common Platform\" approach across access, transport, and core networks with a high-performance hypervisor for compute-, storage-, and network-level virtualization with an integrated operation management system. The software-based approach to providing logical networking functions, such as switching, routing, firewalling, and load balancing, is discussed. From an operations perspective, this paper covers how the virtual infrastructure network will scale, provide high availability, deliver carrier-grade characteristics, and support in managing virtual network function (VNF) with operational support systems (OSS) and business support systems (BSS). Finally, the road ahead, with opportunities that need to be researched, is also presented.","PeriodicalId":176270,"journal":{"name":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"34 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":"115054369","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: 5

Mobile Cloud Computing Techniques for Extending Computation and Resources in Mobile Devices 移动设备中扩展计算和资源的移动云计算技术

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.26

Stefania Farrugia

{"title":"Mobile Cloud Computing Techniques for Extending Computation and Resources in Mobile Devices","authors":"Stefania Farrugia","doi":"10.1109/MobileCloud.2016.26","DOIUrl":"https://doi.org/10.1109/MobileCloud.2016.26","url":null,"abstract":"This paper addresses whether Mobile Cloud Computing models can be used to extend the capabilities of resource constrained mobile devices to provide the illusion of infinite, elastic resources on demand. We identify five key limited resources as being CPU, memory, battery, data usage and time. Existing solutions for these limitations are explored, and we identify offloading computation and storage from the device as a possible solution. Offloading techniques mainly support two types of offloading, offloading to a remote cloud and to a peer device. Four different modes of execution are analysed, local SQL database, local NoSQL database, cloud NoSQL database and NoSQL peer-to-peer database. We develop a prototype which showcases these execution scenarios. Healthcare is identified as an ideal use case for our prototype due to the varied purposes it provides (e.g. in a hospital, in a clinic, on site etc.). An open dataset of anonymised healthcare data is used as test data on which a set of experiments are run. Data generated via monitoring and logging of the prototype is collected and evaluated in terms of different execution scenarios. Using existing research we determine that Mobile Cloud Computing is a useful model for extending computation and resources in mobile devices. We identify that the discrepancy between our test results and existing research is due to the research approach, which evaluates results on a limited set of criteria and does not expand to other factors. Industries that would benefit from Mobile Cloud Computing include e-commerce, healthcare and e-learning, as well as education, finance, point-of-sale and transportation.","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":"115063754","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 Edge Computing: Progress and Challenges 移动边缘计算:进展与挑战

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.16

Hongxing Li, Guochu Shou, Yihong Hu, Zhigang Guo

引用次数: 150

A Secure Mobile Cloud Identity: Criteria for Effective Identity and Access Management Standards 安全的移动云身份:有效身份和访问管理标准的标准

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.22

N. Naik, Paul Jenkins

引用次数: 29

Mobile Cloud Networking: Lessons Learnt, Open Research Directions, and Industrial Innovation Opportunities 移动云网络:经验教训、开放研究方向和产业创新机遇

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.9

P. Bellavista

引用次数: 6

Moitree: A Middleware for Cloud-Assisted Mobile Distributed Apps Moitree:云辅助移动分布式应用的中间件

2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) Pub Date : 2016-03-01 DOI: 10.1109/MobileCloud.2016.21

Mohammad A. Khan, Hillol Debnath, N. R. Paiker, N. Gehani, Xiaoning Ding, Reza Curtmola, C. Borcea

{"title":"Moitree: A Middleware for Cloud-Assisted Mobile Distributed Apps","authors":"Mohammad A. Khan, Hillol Debnath, N. R. Paiker, N. Gehani, Xiaoning Ding, Reza Curtmola, C. Borcea","doi":"10.1109/MobileCloud.2016.21","DOIUrl":"https://doi.org/10.1109/MobileCloud.2016.21","url":null,"abstract":"This paper presents Moitree, the middleware of our Avatar platform for mobile cloud computing. Avatar leverages cloud resources to support fast, scalable, reliable, and energy efficient distributed computing over mobile devices. Each mobile device is augmented by an avatar, a per-user always-on software entity that resides in the cloud and acts as the surrogate of the mobile device, to the extent possible, thus reducing the workload and the demand for storage, bandwidth, and energy on the mobiles. Moitree provides: (1) a novel middleware which allows unmodified apps to execute seamlessly over mobile/avatar pairs with the provision of offloading computation and communication, and (2) a new programming framework to simplify mobile collaborative app development. The programming framework has two key features: (1) user collaborations are modeled using natural group semantics - groups are created dynamically based on context and are hierarchical. (2) data communication is offloaded to the cloud through high-level communication channels. A prototype of Moitree, along with several apps, has been implemented and evaluated on Android devices and on an OpenStack-based cloud running Android x86 avatars.","PeriodicalId":176270,"journal":{"name":"2016 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)","volume":"24 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":"114183653","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: 20