• Proceedings of the Korean Information Science Society Conference
• /
• 2006.06d
• /
• pp.199-201
• /
• 2006

소형 모바일 디바이스는 일반적으로 배터리로 동작하는 등 전력제한적이며 시스템 메모리 및 자원 제약적이다. 또한 소형 모바일 디바이스에서 실행되는 응용프로그램은 일반적으로 시스템의 일부 기능만을 이용하여 수행된다. 따라서 본 연구에서는 시스템에서 제공하는 서비스를 각각의 컴포넌트로 구현하고 응용프로그램의 요구에 따라 소프트웨어 플랫폼을 동적으로 재구성할 수 있는 소프트웨어 플랫폼을 설계 및 구현하였다. 구현한 플랫폼을 웨어러블 컴퓨터 보드에 포팅하여 정상 동작함을 확인하였다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.06a
• /
• pp.254-255
• /
• 2007

유비쿼터스 컴퓨팅의 핵심 구성요소인 웨어러블 컴퓨터는 배터리를 기반으로 운영되므로 웨어러블 컴퓨터의 사용 시간을 늘리려면 효과적인 전력관리가 필요하다. 본 논문에서는 웨어러블 컴퓨터의 전력관리를 위한 컴포넌트 형태 미들웨어에 대한 구현 상황과 그 성능에 대해 기술한다. 구현된 전력관리 미들웨어는 전력인지 인터페이스, 전력관리 모듈과 전력관리 미들웨어 인터페이스로 구성된다. 구현된 전력인지 인터페이스로 전력관리 미들웨어 인터페이스는 다른 미들웨어 컴포넌트 개발자나 응용프로그램 개발자에게 시스템에 투명한 전력관리 기법을 제공할 수 있다. 성능 측정 결과, 구현된 전력관리 미들웨어를 이용하여 LCD 화면 밝기와 블루투스 장치 검색 메시지 주기를 조절할 경우, 웨어러블 컴퓨터의 이용시간이 약 2배 이상 증가하였다.

• Journal of Internet Computing and Services
• /
• v.14 no.2
• /
• pp.73-85
• /
• 2013

As a way of augmenting constrained resources of mobile devices such as CPU and memory, many works on mobile cloud computing (MCC), where mobile devices utilize remote resources of cloud services or PCs, /have been proposed. A typical approach to resolving resource problems of mobile nodes in MCC is to offload functional components to other resource-rich nodes. However, most of the current woks do not consider a characteristic of dynamically changed MCC environment and propose offloading mechanisms in a conceptual level. In this paper, in order to ensure performance of highly complex mobile applications, we propose four different types of offloading mechanisms which can be applied to diverse situations of MCC. And, the proposed offloading mechanisms are practically designed so that they can be implemented with current technologies. Moreover, we define cost models to derive the most sutilable situation of applying each offloading mechanism and prove the performance enhancement through offloadings in a quantitative manner.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.2
• /
• pp.67-75
• /
• 2014

In this paper, we proposed offloading delay method which determines effectively offloading timing by measuring of handoff delay and offloading time at mobile node side in mobile environment. The propose method measures each of handoff delay and offloading time and making decision of proper offloading timing on mobile node side. Therefore, it is possible to support cloud computing without changing previous implemented cloud computing structure for fixed node in a mobile environment. We compare the energy consumption of server and node to analyze efficiency of proposed method by using existing method of energy consumption measurement. Simulation results shows the reducing energy consumption more than previous method and operation time similar to previous method.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.3
• /
• pp.231-237
• /
• 2006

Pervasive computing environment is similar to the meaning of ubiquitous computing, however it is a kind of the commercial product, which is made from the collaboration between NIST and IBM. On the basis of this environment, the research of mobile agents for intrusion detection is going on in progress. In this paper, we study the research about mobile agents for the intrusion detection and then suggest scenarios using moving mobile agents based on the multiple mobile agents in the intrusion detection. Subsequently, we could figure out the problems which occurred through progress of integrity movement as a matter of the intrusion detection.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2013.05a
• /
• pp.621-624
• /
• 2013

Mobile Cloud Computing is today's emerging technology. Customers enjoy the services and application from this combination of mobile technology and cloud computing. Beside all these benefits it also increases the concerns regarding privacy of users, while interacting with this new paradigm One of the services is Location based services, but to get their required services user has to give his/her current location to the LBS provider that is violation of location privacy of mobile client. Many approaches are in literature for preserve location privacy but some has computation restriction and some suffer from lack of privacy. In this paper we proposed a novel idea that not only efficient in its protocol but also completely preserves the user's privacy. The result shows that by sharing just service name and a large enough geographic area (e.g. a city) user gets required information from the server by doing little client side processing We perform experiments at client side by developing and testing an android based mobile client application to support our argument.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.12
• /
• pp.5669-5684
• /
• 2018

The new mobile edge network architecture has been required for an increasing amount of traffic, quality requirements, advanced driver assistance system for autonomous driving and new cloud computing demands on highway. This article proposes a hierarchical cloud computing architecture to enhance performance by using adaptive data load distribution for buses that play the role of edge computing server. A vehicular dynamic cloud is based on wireless architecture including Wireless Local Area Network and Long Term Evolution Advanced communication is used for data transmission between moving buses and cars. The main advantages of the proposed architecture include both a reduction of data loading for top layer cloud server and effective data distribution on traffic jam highway where moving vehicles require video on demand (VOD) services from server. Through the description of real environment based on NS-2 network simulation, we conducted experiments to validate the proposed new architecture. Moreover, we show the feasibility and effectiveness for the connected car media service on highway.

• The Journal of Korean Institute of Next Generation Computing
• /
• v.13 no.6
• /
• pp.21-30
• /
• 2017

Physical computing is performed through interaction with the real world making it suitable for cultivating student abilities in computing knowledge and thought processes. Furthermore, if users can develop programs under block-coding environment, it will be more easy and more intuitive. However, the existing block coding environment has a problem that the physical devices must be continuously connected to the computer. Blockly is an open source library that adds a visual code editor linked with graphic blocks to demonstrate coding concepts through web and mobile apps. Using Blockly, we describe a development environment for physical computing on mobile platform, which combines physical computing with an established block-coding environment, and activates it through wireless communication.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.43 no.1 s.307
• /
• pp.67-74
• /
• 2006

Contort-aware computing technology is one of the key technology of ubiquitous computing in the mobile device environment. Context recognition computing enables computer applications that automatically respond to user's everyday activity to be realized. In this paper, We use accelerometer could sense activity states of the object and apply to mobile devices. This method for estimating human motion states utilizes various statistics of accelerometer data, such as mean, standard variation, and skewness, as features for classification, and is expected to be more effective than other existing methods that rely on only a few simple statistics. Classification algorithm uses simple decision tree instead of existing neural network by considering mobile devices with limited resources. A series of experiments for testing the effectiveness of the our context detection system for mobile applications and ubiquitous computing has been performed, and its result is presented.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.52 no.3
• /
• pp.127-135
• /
• 2015

Context-aware mobile cloud computing is a new promising paradigm that allows to improve user experience by analyzing contextual information such as user location, time of the day, neighboring devices and current activity. In this paper we provide performance study of context-aware mobile cloud computing system with Volare middleware. Volare monitors the resources and context of the device. and dynamically adapts cloud service requests accordingly, at discovery time or at runtime. This approach allows for more resource-efficient and reliable cloud service discovery, as well as significant cost savings at runtime. We also have studied the performance of context-aware mobile cloud computing for different quality of service (QoS) adaptation policies. Our simulations results show that when battery level is low and CPU usage is high and user cannot maintain the initial QoS, service cost is decreased according to current adaptation policy. In conclusion, the current adaptation policy suggested in this paper may improve user experience by providing a dynamically adapted service cost according to a situation.