• Title/Summary/Keyword: Mobile Cloud

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Mobile Cloud System based on EMRA for Inbody Data

  • Lee, Jong-Sub;Moon, Seok-Jae
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.327-333
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    • 2021
  • Inbody is a tool for measuring health information with high reliability and accuracy to analyze body composition. Unlike the existing method of storing/processing and outputting data on the server side, the health information generated by InBody requires accurate support for health sharing and data analysis services using mobile devices. However, in the process of transmitting body composition measurement information to a mobile service, a problem may occur in data transmission/reception processing. The reason for this is that, since the network network in the cloud environment is used, if the connection is cut off or the connection is changed, it is necessary to provide a global service, not a temporary area, focusing on the mobility of InBody information. In addition, since InBody information is transmitted to mobile devices, a standard schema should be defined in the mobile cloud environment to enable information transfer between standardized InBody data and mobile devices. We propose a mobile cloud system using EMRA(Extended Metadata Registry Access) in which a mobile device processes and transmits body data generated in the inbody and manages the data of each local organization with a standard schema. The proposed system processes the data generated in InBody and converts it into a standard schema using EMRA so that standardized data can be transmitted. In addition, even when the mobile device moves through the area, the coordinator subsystem is in charge of providing access services. In addition, EMRA is applied to the collision problem due to schema heterogeneity occurring in the process of accessing data generated in InBody.

A Function Level Static Offloading Scheme for Saving Energy of Mobile Devices in Mobile Cloud Computing (모바일 클라우드 컴퓨팅에서 모바일 기기의 에너지 절약을 위한 함수 수준 정적 오프로딩 기법)

  • Min, Hong;Jung, Jinman;Heo, Junyoung
    • Journal of KIISE
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    • v.42 no.6
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    • pp.707-712
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    • 2015
  • Mobile cloud computing is a technology that uses cloud services to overcome resource constrains of a mobile device, and it applies the computation offloading scheme to transfer a portion of a task which should be executed from a mobile device to the cloud. If the communication cost of the computation offloading is less than the computation cost of a mobile device, the mobile device commits a certain task to the cloud. The previous cost analysis models, which were used for separating functions running on a mobile device and functions transferring to the cloud, only considered the amount of data transfer and response time as the offloading cost. In this paper, we proposed a new task partitioning scheme that considers the frequency of function calls and data synchronization, during the cost estimation of the computation offloading. We also verified the energy efficiency of the proposed scheme by using experimental results.

The Design of mBodyCloud System for Sensor Information Monitoring in the Mobile Cloud Environment

  • Park, Sungbin;Moon, Seok-Jae;Lee, Jong-Yong;Jung, Kye-Dong
    • International journal of advanced smart convergence
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    • v.5 no.1
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    • pp.1-7
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    • 2016
  • Recently, introduced a cloud computing technology to the IT industry, smart phones, it has become possible connection between mobility terminal such as a tablet PC. For dissemination and popularization of movable wireless terminal, the same operation have focused on a viable mobile cloud in various terminal. Also, it evolved Wireless Sensor Network(WSN) technology, utilizing a Body Sensor Network(BSN), which research is underway to build large Ubiquitous Sensor Network(USN). BSN is based on large-scale sensor networks, it integrates the state information of the patient's body, it has been the need to build a managed system. Also, by transferring the acquired sensor information to HIS(Hospital Information System), there is a need to frequently monitor the condition of the patient. Therefore, In this paper, possible sensor information exchange between terminals in a mobile cloud environment, by integrating the data obtained by the body sensor HIS and interoperable data DBaaS (DataBase as a Service) it will provide a base of mBodyCloud System. Therefore, to provide an integrated protocol to include the sensor data to a standard HL7(Health Level7) medical information data.

The Model Proposal of Mobile Cloud Security Technology (모바일 클라우드 보안기술의 모델 제안)

  • Shin, Seung-Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.6
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    • pp.151-156
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    • 2011
  • The Korean domestic cloud market will reach a value of 2 trillion Korean won by 2014. The domestic market is expected to grow rapidly in size despite the fact that there exist activation barriers in mobile cloud services, concerns about the reliability of service, and concerns about security and confidentiality of data. Under these circumstances, existing IT security technologies may be be utilized to provide sufficient response characteristics. Despite this, they must be optimized for mobile cloud computing and enhanced to mitigate inherent security flaws. In this study, mobile cloud security is covered along with use cases that cover the cases where mobile devices are particularly vulnerable and suggest ways to mitigate security vulnerabilities.

Response Time Analysis Considering Sensing Data Synchronization in Mobile Cloud Applications (모바일 클라우드 응용에서 센싱 데이터 동기화를 고려한 응답 시간 분석)

  • Min, Hong;Heo, Junyoung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.137-141
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    • 2015
  • Mobile cloud computing uses cloud service to solve the resource constraint problem of mobile devices. Offloading means that a task executed on the mobile device commits to cloud and many studies related to the energy consumption have been researched. In this paper, we designed a response time model considering sensing data synchronization to estimate the efficiency of the offloading scheme in terms of the response time. The proposed model considers synchronization of required sensing data to improve the accuracy of response time estimation when cloud processes the task requested from a mobile device. We found that the response time is effected by new sensing data generation rate and synchronization period through simulation results.

Mobile Payment Based on Transaction Certificate Using Cloud Self-Proxy Server

  • Sung, Soonhwa;Kong, Eunbae;Youn, Cheong
    • ETRI Journal
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    • v.39 no.1
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    • pp.135-144
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    • 2017
  • Recently, mobile phones have been recognized as the most convenient type of mobile payment device. However, they have some security problems; therefore, mobile devices cannot be used for unauthorized transactions using anonymous data by unauthenticated users in a cloud environment. This paper suggests a mobile payment system that uses a certificate mode in which a user receives a paperless receipt of a product purchase in a cloud environment. To address mobile payment system security, we propose the transaction certificate mode (TCM), which supports mutual authentication and key management for transaction parties. TCM provides a software token, the transaction certificate token (TCT), which interacts with a cloud self-proxy server (CSPS). The CSPS shares key management with the TCT and provides simple data authentication without complex encryption. The proposed self-creating protocol supports TCM, which can interactively communicate with the transaction parties without accessing a user's personal information. Therefore, the system can support verification for anonymous data and transaction parties and provides user-based mobile payments with a paperless receipt.

Development of Mobile Cloud Computing Client UI/UX based on Open Source SPICE (오픈소스 SPICE 기반의 모바일 클라우드 컴퓨팅 클라이언트 UI/UX 개발)

  • Jo, Seungwan;Oh, Hoon;Shim, Kyusung;Shim, Kyuhyun;Lee, Jongmyung;An, Beongku
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.8
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    • pp.85-92
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    • 2016
  • Mobile cloud computing (MCC) is not just extensions of cloud concepts into mobile environments, but the service technologies that all mobile devices including smartphone can use the desired services by using cloud technology without the constraints of time and space. Currently, a lot of works on mobile cloud computing have been actively researching, whereas user interfaces are not so much researched. The main features and contributions of this paper are as follows. First, develop UI considering UX that is different from conventional interfaces supported by SPICE. Second, combine two button interface into one button interface when keyboard is used in mobile cloud computing clients. Third, develop a mouse interface suitable for mobile cloud computing clients. Fourth, in mobile cloud computing client, solve a problem that the selection of button/files/folder has at the corner. Finally, in mobile cloud computing clients we change mouse scroll mapping functions from volume button to scroll interface in touch-screen. The results of performance evaluation shows that users can input easily with the increased and fixed mouse interface. Since shortcut keys instead of the complex button keys of keyboard are provided, the input with 3-6 steps is reduced into 1 step, which can simply support complex keys and mouse input for users.

A Design of Measuring impact of Distance between a mobile device and Cloudlet (모바일 장치와 클라우드 사이 거리의 영향 측정에 대한 연구)

  • Eric, Niyonsaba;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.232-235
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    • 2015
  • In recent years, mobile devices are equipped with functionalities comparable to those computers. However, mobile devices have limited resources due to constraints, such as low processing power, limited memory, unpredictable connectivity, and limited battery life. To enhance the capacity of mobile devices, an interesting idea is to use cloud computing and virtualization techniques to shift the workload from mobile devices to a computational infrastructure. Those techniques consist of migrating resource-intensive computations from a mobile device to the resource-rich cloud, or server (called nearby infrastructure). In order to achieve their goals, researchers designed mobile cloud applications models (examples: CloneCloud, Cloudlet, and Weblet). In this paper, we want to highlight on cloudlet architecture (nearby infrastructure with mobile device), its methodology and discuss about the impact of distance between cloudlet and mobile device in our work design.

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Preliminary Performance Testing of Geo-spatial Image Parallel Processing in the Mobile Cloud Computing Service (모바일 클라우드 컴퓨팅 서비스를 위한 위성영상 병렬 정보처리 성능 예비실험)

  • Kang, Sang-Goo;Lee, Ki-Won;Kim, Yong-Seung
    • Korean Journal of Remote Sensing
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    • v.28 no.4
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    • pp.467-475
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    • 2012
  • Cloud computing services are known that they have many advantages from the point of view in economic saving, scalability, security, sharing and accessibility. So their applications are extending from simple office systems to the expert system for scientific computing. However, research or computing technology development in the geo-spatial fields including remote sensing applications are the beginning stage. In this work, the previously implemented smartphone app for image processing was first migrated to mobile cloud computing linked to Amazon web services. As well, parallel programming was applied for improving operation performance. Industrial needs and technology development cases in terms of mobile cloud computing services are being increased. Thus, a performance testing on a satellite image processing module was carried out as the main purpose of this study. Types of implementation or services for mobile cloud varies. As the result of this testing study in a given condition, the performance of cloud computing server was higher than that of the single server without cloud service. This work is a preliminary case study for the further linkage approach for mobile cloud and satellite image processing.

Towards efficient sharing of encrypted data in cloud-based mobile social network

  • Sun, Xin;Yao, Yiyang;Xia, Yingjie;Liu, Xuejiao;Chen, Jian;Wang, Zhiqiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.4
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    • pp.1892-1903
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    • 2016
  • Mobile social network is becoming more and more popular with respect to the development and popularity of mobile devices and interpersonal sociality. As the amount of social data increases in a great deal and cloud computing techniques become developed, the architecture of mobile social network is evolved into cloud-based that mobile clients send data to the cloud and make data accessible from clients. The data in the cloud should be stored in a secure fashion to protect user privacy and restrict data sharing defined by users. Ciphertext-policy attribute-based encryption (CP-ABE) is currently considered to be a promising security solution for cloud-based mobile social network to encrypt the sensitive data. However, its ciphertext size and decryption time grow linearly with the attribute numbers in the access structure. In order to reduce the computing overhead held by the mobile devices, in this paper we propose a new Outsourcing decryption and Match-then-decrypt CP-ABE algorithm (OM-CP-ABE) which firstly outsources the computation-intensive bilinear pairing operations to a proxy, and secondly performs the decryption test on the attributes set matching access policy in ciphertexts. The experimental performance assessments show the security strength and efficiency of the proposed solution in terms of computation, communication, and storage. Also, our construction is proven to be replayable choosen-ciphertext attacks (RCCA) secure based on the decisional bilinear Diffie-Hellman (DBDH) assumption in the standard model.