Higher performance for embedded software with the intent of decreasing cost of hardware made widespread and development of hardware. Higher performance makes embedded software more complex, but to satisfy user demands and that of time-to-market, it has to be developed fast and achieve quality. Testing is the most important factor in embedded software development. Increasing complexity of the embedded system makes difficult to test manually and properly evaluate quality. This made automated testing becoming popular and in turn decline of manual testing. Because of the characteristics of embedded software, automated testing has difficulty performing all relevant tests and evaluation of the areas of concern. Manual testing of embedded software is affective in these areas and can directly affect quality of software. To properly test software manually it is necessary to have the proper testing procedures and personnel along with a well defined description of the system. In this paper we propose a manual testing mechanism that is more structured, effective and will improve quality of embedded software. We describe the model which is based on the existing problem of manual testing and analysis requirements. The model and technique we propose will make testing on software and related hardware areas more effective, and the way to share the testing experience and using quality evaluation.
Mobile agents provide an attractive conceptual framework for mobile device-based computing – small threads migrating from server to server, performing their functions, there are still many difficulties that must be addressed. These difficulties are currently preventing the widespread adoption of the technology. Some of the key problems include: security, user and provider psychological resistance, infrastructure integration, interoperability and reliability. Mobile computers and devices may operate in a variety of environments with different security schemes. In this paper, we present a mobile agent for convergence applications model. The model supports the flexible and extensible application specific convergence applications measures required by mobile computers and devices in distributed system. We gave a full description of mobile agent and its migration modes, after discussing the possible convergence applications, the model is explained at length and security analysis is also given in the way of collaboration requirements, mobility requirements and execution requirements. Keyword: mobile agent, convergence applications, distributed system, dynamic
IPv4 주소가 고갈되어가고 있기 때문에 IPv6 주소의 사용이 늘어나고 있다. IPv6 환경에서는 주소자동설정 기능이 제공된다. 주소가 각 호스트(host)에 자동으로 할당될 경우, 네트워크 관리 시스템은 모든 장비의 IP주소를 조사하고 해당 정보를 유지해야 하는 어려움이 따른다. 또한, IP주소가 자동으로 설정되기 때문에 악의적 사용자가 아무런 제약 없이 네트워크 주요장비에 접근할 수 있는 문제가 발생한다. 이런 문제를 해결하기 위해 악의적 사용자들에 대한 관리 및 차단이 필요하다. 본 논문에서는, IPv6 환경에서 호스트를 탐색하고 인가되지 않은 호스트가 네트워크에 접속하는 것을 차단함으로써, 네트워크 주요 자원을 효율적으로 관리하고 보호하는 호스트 탐색 및 네트워크 접속 차단 에이전트 시스템을 제안한다. IPv6 환경에서 본 에이전트 시스템의 성능을 테스트한 결과, 본 시스템은 정상적으로 탐색과 차단 기능을 수행하였다. As IPv4 addresses are exhausting, the use of IPv6 addresses is increasing. IPv6 environment provides address auto-configuration function. If addresses are allocated to each host automatically, network management system has difficulty in inspecting every IP of all devices and keeping the relevant informations. Also, as IP addresses are configured automatically, problems such as malicious users accessing network devices with no restriction can occur. To solve these problems, managing and blocking of malicious user is necessary. In this paper, we suggest agent system for searching of host computer and blocking network access which manages and protects the major network resources efficiently by searching host and blocking unauthorized host access to network in IPv6 environment. According to the test results of function of this agent system in IPv6 environment, we have checked that this system performs searching and blocking function normally.
An increase In traffic has a large Influence on the performance of a total network. Therefore, traffic management has become an important issue of network management. In this paper, we propose a new routing algorithm that attempts to analyze network conditions using time series prediction models and to propose predictive optimal routing decisions. Traffic congestion is assumed when the predicting result is bigger than the permitted bandwidth. By collecting traffic in real network, the predictable model is obtained when it minimizes statistical errors. In order to predict network traffic based on time series models, we assume that models satisfy a stationary assumption. The stationary assumption can be evaluated by using ACF(Auto Correlation Function) and PACF(Partial Auto Correlation Function). We can obtain the result of these two functions when it satisfies the stationary assumption. We modify routing oaths by predicting traffic in order to avoid traffic congestion through experiments. As a result, Predicting traffic and balancing load by modifying paths allows us to avoid path congestion and increase network performance.
Recently, users of multimedia files demand a high capacity file via internet. However, it is difficult to guarantee QoS for high capacity files on internet because of its inconstant bandwidth. For guaranteeing the QoS, CDN (Content Delivery Network) is generally used for contents delivery service. Based on CDN, we propose Content Distribution and Management using Metadata (CDM) system which provides advanced transmission method and searching method. To enhance the transmission rate, CDM system supports segment-unit-based transmission method that enables parallel transmission. Also, we propose a distribution method through content based search.
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