2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering最新文献

Multi-tier Elastic Computation Framework for Mobile Cloud Computing 面向移动云计算的多层弹性计算框架

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2015-03-30 DOI: 10.1109/MobileCloud.2015.20

C. Shih, Yu-Hsin Wang, N. Chang

{"title":"Multi-tier Elastic Computation Framework for Mobile Cloud Computing","authors":"C. Shih, Yu-Hsin Wang, N. Chang","doi":"10.1109/MobileCloud.2015.20","DOIUrl":"https://doi.org/10.1109/MobileCloud.2015.20","url":null,"abstract":"Federating the portability and mobility of mobile devices with the computation capacity on desktop computers have been a widely discussed computation model for the next decade. However, the mobility of the mobile devices also introduces challenges on the federation. This work developed the elastic computation framework to tackle the aforementioned challenge. The elastic computation framework federates the computation resources on wearable devices, mobile devices, nearby computers, and remote computers into a pool of computation resources. Each resource in the pool is characterized by its network delay, expected response time, and computation capability. Each mobile device is also characterized by its mobility and computation workload requirements. The elastic computation framework assigns computation resources in the pool to meet the workload requirements on mobile devices. The framework consists of resource allocation component, task scheduling algorithm, and task dispatch middleware. In the experiment, we compare the developed scheduling algorithm with other known algorithms by simulation. The results show that the developed scheduling algorithm does not complete the most tasks though, the cost/performance of system resources is the best among all the algorithms. To be specific, the cost-performance of the developed algorithm can be at least two times better than that of compared algorithms.","PeriodicalId":373443,"journal":{"name":"2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125916717","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

Trust Level Based Data Storage and Data Access Control in a Distributed Storage Environment 分布式存储环境中基于信任级别的数据存储与访问控制

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2015-03-30 DOI: 10.1109/MobileCloud.2015.26

Andreas Roos, Steffen Druesedow, M. Hosseini, G. Coşkun, Sebastian Zickau

{"title":"Trust Level Based Data Storage and Data Access Control in a Distributed Storage Environment","authors":"Andreas Roos, Steffen Druesedow, M. Hosseini, G. Coşkun, Sebastian Zickau","doi":"10.1109/MobileCloud.2015.26","DOIUrl":"https://doi.org/10.1109/MobileCloud.2015.26","url":null,"abstract":"In the face of enormously increasing amount of personal digital data distributed over various devices, end users are challenged to efficiently store and administrate them. Mostly, users are making use of public storage services in the cloud and local storage devices. Whereas, people with IT expertise make use of sophisticated and expensive network attached storage solutions or self-managed server solutions. Moreover, besides the pure data storage process itself, privacy aware data handling will become important in the future which enables access control to the data in order to avoid malicious access from other users, applications and / or services. For taking advantages from the benefits of the aforementioned different approaches, we advocate an integrated solution. Due to privacy concerns, the most important aspect to take into consideration in such a combined solution is trustworthiness. This paper introduces a trust level based data storage and trust level based data access control solution which changes the control process of data storage and data access. The introduced solution enables user-friendly data handling based on assigned trust levels to storage solutions in a distributed data storage environment and the classified sensitivity level of the data to be stored.","PeriodicalId":373443,"journal":{"name":"2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123680531","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: 4

Moving from Mobile Databases to Mobile Cloud Data Services 从移动数据库到移动云数据服务

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2015-03-30 DOI: 10.1109/MobileCloud.2015.33

Shuyu Li, J. Gao

引用次数: 7

A Light-Weight Permutation Based Method for Data Privacy in Mobile Cloud Computing 移动云计算中基于轻量级排列的数据隐私保护方法

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2015-03-30 DOI: 10.1109/MobileCloud.2015.36

M. Bahrami, M. Singhal

{"title":"A Light-Weight Permutation Based Method for Data Privacy in Mobile Cloud Computing","authors":"M. Bahrami, M. Singhal","doi":"10.1109/MobileCloud.2015.36","DOIUrl":"https://doi.org/10.1109/MobileCloud.2015.36","url":null,"abstract":"Cloud computing paradigm provides virtual IT infrastructures with a set of resources that are shared with multi-tenant users. Data Privacy is one of the major challenges when users outsource their data to a cloud computing system. Privacy can be violated by the cloud vendor, vendor's authorized users, other cloud users, unauthorized users, or external malicious entities. Encryption is one of the solutions to protect and maintain privacy of cloud-stored data. However, encryption methods are complex and expensive for mobile devices. In this paper, we propose a new light-weight method for mobile clients to store data on one or multiple clouds by using pseudo-random permutation based on chaos systems. The proposed method can be used in the client mobile devices to store data in the cloud(s) without using cloud computing resources for encryption to maintain user's privacy. We consider JPEG image format as a case study to present and evaluate the proposed method. Our experimental results show that the proposed method achieve superior performance compared to over encryption methods, such as AES and encryption on JPEG encoders while protecting the mobile user data privacy. We review major security attack scenarios against the proposed method that shows the level of security.","PeriodicalId":373443,"journal":{"name":"2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121771186","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: 52

MALMOS: Machine Learning-Based Mobile Offloading Scheduler with Online Training 带有在线培训的基于机器学习的移动卸载调度程序

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2015-03-30 DOI: 10.1109/MobileCloud.2015.19

Heungsik Eom, R. Figueiredo, Huaqian Cai, Ying Zhang, Gang Huang

{"title":"MALMOS: Machine Learning-Based Mobile Offloading Scheduler with Online Training","authors":"Heungsik Eom, R. Figueiredo, Huaqian Cai, Ying Zhang, Gang Huang","doi":"10.1109/MobileCloud.2015.19","DOIUrl":"https://doi.org/10.1109/MobileCloud.2015.19","url":null,"abstract":"This paper proposes and evaluates MALMOS, a novel framework for mobile offloading scheduling based on online machine learning techniques. In contrast to previous works, which rely on application-dependent parameters or predefined static scheduling policies, MALMOS provides an online training mechanism for the machine learning-based runtime scheduler such that it supports a flexible policy that dynamically adapts scheduling decisions based on the observation of previous offloading decisions and their correctness. To demonstrate its practical applicability, we integrated MALMOS with an existing Java-based, offloading-capable code recapturing framework, Partner. Using this integration, we performed quantitative experiments to evaluate the performance and cost for three machine learning algorithms: instance-based learning, perception, and naive Bays, with respect to classifier training time, classification time, and scheduling accuracy. Particularly, we examined the adaptability of MALMOS to various network conditions and computing capabilities of remote resources by comparing the scheduling accuracy with two static scheduling cases: threshold-based and linear equation-based scheduling policies. Our evaluation uses an Android-based prototype for experiments, and considers benchmarks with different computation/communication characteristics, and different computing capabilities of remote resources. The evaluation shows that MALMOS achieves 10.9%~40.5% higher scheduling accuracy than two static scheduling policies.","PeriodicalId":373443,"journal":{"name":"2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131940172","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: 54

Cloud Computing for Emerging Mobile Cloud Apps 新兴移动云应用的云计算

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2015-03-30 DOI: 10.1109/MobileCloud.2015.40

M. Bahrami

{"title":"Cloud Computing for Emerging Mobile Cloud Apps","authors":"M. Bahrami","doi":"10.1109/MobileCloud.2015.40","DOIUrl":"https://doi.org/10.1109/MobileCloud.2015.40","url":null,"abstract":"The tutorial will begin with an explanation of the concepts behind cloud computing systems, cloud software architecture, the need for mobile cloud computing as an aspect of the app industry to deal with new mobile app design, network apps, app designing tools, and the motivation for migrating apps to cloud computing systems. The tutorial will review facts, goals and common architectures of mobile cloud computing systems, as well as introduce general mobile cloud services for app developers and marketers. This tutorial will highlight some of the major challenges and costs, and the role of mobile cloud computing architecture in the field of app design, as well as how the app-design industry has an opportunity to migrate to cloud computing systems with low investment. The tutorial will review privacy and security issues. It will describe major mobile cloud vendor services to illustrate how mobile cloud vendors can improve mobile app businesses. We will consider major cloud vendors, such as Microsoft Windows Azure, Amazon AWS and Google Cloud Platform. Finally, the tutorial will survey some of the cuttingedge practices in the field, and present some opportunities for future development.","PeriodicalId":373443,"journal":{"name":"2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126424332","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: 30

QoI-Based Data Upload Control for Mobility-Aware Cloud Services 基于qos的移动感知云服务数据上传控制

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2015-03-30 DOI: 10.1109/MobileCloud.2015.8

Hiroshi Miyake, N. Kami

引用次数: 3

MSaaS-Type Smart Education Support System Using Social Media 基于社交媒体的msaas型智能教育支持系统

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2015-03-30 DOI: 10.1109/MobileCloud.2015.25

Toru Kobayashi

{"title":"MSaaS-Type Smart Education Support System Using Social Media","authors":"Toru Kobayashi","doi":"10.1109/MobileCloud.2015.25","DOIUrl":"https://doi.org/10.1109/MobileCloud.2015.25","url":null,"abstract":"Smart education, that is the learning environment utilizing mobile devices like tablet computers, has attracted a great deal of attention. In order to expand this environment, we need a mechanism that can establish the learning environment armed mobile devices and Information Communication Technology (ICT), instantly utilizing the original digital learning material without the significant strain on teaching staff. Therefore, this paper proposes a Mobile Software-as-a-Service (MSaaS) type Smart Education Support System that would allow a teaching staff to apply the original digital learning material and the ICT environment, including mobile devices, in classrooms without disrupting work. This proposed system focuses on technical terms embedded in the original digital learning material and MSaaS-type architecture. The multi-aspect information, that is the multi-view point information of the technical term extracted from the original digital learning material, will be gathered from social media. Then, such multi-aspect information will be distributed on a multi-screen environment such as mobile devices or an electronic black board by a multimodal user interface including motion sensors or voice recognition. In this way, if we can extract only the technical term from the original digital learning material, we can transform the original digital learning material into one for the smart education environment automatically. We explained this transforming model for utilizing the original digital learning material. In terms of MSaaS-type architecture, it consists of three layers that enable three kinds of smashup according to web service technologies in order to establish the smart education environment instantly. We confirmed the effectiveness of the proposed system through the examination based on the evaluation environment.","PeriodicalId":373443,"journal":{"name":"2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125165025","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

Tutorial on NoSQL Databases NoSQL数据库教程

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2015-03-30 DOI: 10.1109/MobileCloud.2015.34

G. Deka

引用次数: 1

Cloudlet Mesh for Securing Mobile Clouds from Intrusions and Network Attacks 用于保护移动云免受入侵和网络攻击的Cloudlet Mesh

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering Pub Date : 2015-03-30 DOI: 10.1109/MobileCloud.2015.15

Yue Shi, Sampatoor Abhilash, K. Hwang

引用次数: 54