• KIPS Transactions on Software and Data Engineering
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• v.10 no.12
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• pp.595-602
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• 2021

The robot is developing into a software-oriented shape that recognizes the surrounding situation and is given a task. Cloud Robotics Platform is a method to support Service Oriented Architecture shape for robots, and it is a cloud-based method to provide necessary tasks and motion controllers depending on the situation. As it evolves into a humanoid robot, the robot will be used to help humans in generalized daily life according to the three robot principles. Therefore, in addition to robots for specific individuals, robots as public goods that can help all humans depending on the situation will be universal. Therefore, the importance of information security in the Cloud Robotics Computing environment is analyzed to be composed of people, robots, service applications on the cloud that give intelligence to robots, and a cloud bridge that connects robots and clouds. It will become an indispensable element for In this paper, we propose a Security Scheme that can provide security for communication between people, robots, cloud bridges, and cloud systems in the Cloud Robotics Computing environment for intelligent robots, enabling robot services that are safe from hacking and protect personal information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.9
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• pp.1544-1572
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• 2011

Task placement and scheduling are traditionally studied in following aspects: resource utilization, application throughput, application execution latency and starvation, and recently, the studies are more on application scalability and application performance. A methodology for task placement and scheduling centered on tasks based on virtual machines is studied in this paper to improve the performances of systems and dynamic adaptability in applications development and deployment oriented parallel computing. For parallel applications with no real-time constraints, we describe a thought of feature model and make a formal description for four layers of task placement and scheduling. To place the tasks to different layers of virtual computing systems, we take the performances of four layers as the goal function in the model of task placement and scheduling. Furthermore, we take the personal preference, the application scalability for a designer in his (her) development and deployment, as the constraint of this model. The workflow of task placement and scheduling based on virtual machines has been discussed. Then, an algorithm TPVM is designed to work out the optimal scheme of the model, and an algorithm TEVM completes the execution of tasks in four layers. The experiments have been performed to validate the effectiveness of time estimated method and the feasibility and rationality of algorithms. It is seen from the experiments that our algorithms are better than other four algorithms in performance. The results show that the methodology presented in this paper has guiding significance to improve the efficiency of virtual computing systems.

• Journal of the Korea Society for Simulation
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• v.16 no.4
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• pp.33-41
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• 2007

Service-Oriented Architecture(SOA) define the interaction method between two computing entities that one entity performs a unit task instead of another entity. This, unit task, is called "Service" and interaction of these services should have independency and loosely coupled task. The effect of SOA's main functions such as loosely coupled task and independent interoperability with influence the possibility of flexible message communication between different way and different users. In this article, we analyzed the performance about system stabilization between general web service and SOA based application that implemented through WCF based messaging framework using .NET Framework and integrated data presentation method. As the result of test, we confirmed that SOA environment using WCF have more advantages.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.57-70
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• 2020

This study examines the subjective perception of software developers on happiness at work through the Q-sort methodology. Analysis of 63 respondents revealed four types happiness at work with highly differentiated characteristics: 'stability of work oriented', 'defiant self-driven, technology-oriented', 'realistic professionalism oriented', and 'genuinely technology and task-immersion oriented'. The 'defiant self-driven, technology-oriented' and 'genuinely technology and task-immersion oriented' types are interested in latest ICT and consider recognition of one's professionalism as well as self-realization result in happiness at work. On the other hand, the 'stability of work oriented' and 'realistic professionalism oriented' types did not pay much attention to one's growth of technical career but emphasized salary, welfare benefits and job promotion as the most important factors in happiness at work. Today, extraordinary SW developers are a key factor to acquire industrial competitiveness. Nations and corporations should prepare realistic ways to promote overall happiness at work by accurately understanding the varying characteristics and predisposition of domestic ICT personnel. In Korea, it is found that there is a shortage of 'genuinely technology and task-immersion oriented' SW developers. In order to secure national and industrial competitiveness in the era of the Fourth Industrial Revolution, creation of work ecosystem to promote high levels of happiness at work is required to secure quality software production and pride as an ICT professional.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.2
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• pp.174-182
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• 2002

The object-oriented design methods and their CASE tools are widely used in practice by many real-time software developers. However, object-oriented CASE tools require an additional step of identifying tasks from a given design model. Unfortunately, it is difficult to automate this step for a couple of reasons: (1) there are inherent discrepancies between objects and tasks; and (2) it is hard to derive tasks while maximizing real-time schedulability since this problem makes a non-trivial optimization problem. As a result, in practical object-oriented CASE tools, task identification is usually performed in an ad-hoc manner using hints provided by human designers. In this paper, we present a systematic, schedulability-aware approach that can help mapping real-time object-oriented models to multi-threaded implementations. In our approach, a task contains a group of mutually exclusive transactions that may possess different periods and deadline. For this new task model, we provide a new schedulability analysis algorithm. We also show how the run-time system is implemented and how executable code is generated in our frame work. We have performed a case study. It shows the difficulty of task derivation problem and the utility of the automated synthesis of implementations as well as the Inappropriateness of the single-threaded implementations.

• Journal of Information Technology Services
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• v.9 no.3
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• pp.179-191
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• 2010

Service identification and composition is one of the key characteristics for a successful Service-Oriented Computing, being receiving a lot of attention from researchers in recent years. In the Service-Oriented Analysis, the identification of business services has to be preceded before application services are identified. Most approaches addressing the derivation of business services are based on heuristic methods and human experts. The manual identification of business services is highly expensive and ambiguous task, and it may result in the service design with bad quality because of errors and misconception. Although a few of approaches of automatic service identification are proposed, most of them are in focus on technical architectures and application services. In this paper, we propose a model on the automatic identification of business services by horizontal and vertical service alignment using Enterprise Architecture as an ontology. We verify the effectiveness of the proposed model of business services identification through a case study based on Department of Defense Enterprise Architecture.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.1-7
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• 2022

Recently, as the use of applications such as big data programs and machine learning programs that are driven while generating large amounts of data in the program itself becomes common, the existing main memory alone lacks memory, making it difficult to execute the program quickly. In particular, the need to derive results more quickly has emerged in a situation where it is necessary to analyze whether the entire sequence is genetically altered due to the outbreak of the coronavirus. As a result of measuring performance by applying large-capacity data to a computing system equipped with a self-developed memory pool MOCA host adapter instead of processing large-capacity data from an existing SSD, performance improved by 16% compared to the existing SSD system. In addition, in various other benchmark tests, IO performance was 92.8%, 80.6%, and 32.8% faster than SSD in computing systems equipped with memory pool MOCA host adapters such as SortSampleBam, ApplyBQSR, and GatherBamFiles by task of workflow. When analyzing large amounts of data, such as electrical dielectric pipeline analysis, it is judged that the measurement delay occurring at runtime can be reduced in the computing system equipped with the memory pool MOCA host adapter developed in this research.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.36.6-36
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• 2001

The problem of robot navigation and control is a complex task. Its complexity and characteristics depends on the characteristics of the environment robot inhabits, robot construction (mechanical abilities to move, sense) and the job the robot is supposed to do. In this paper we propose a hybrid programming approach to mobile robot navigation and control in an indoor environment. In our approach we used declarative, procedural, and object oriented programming paradigms and we utilized some advantages of our distributed computing architecture. The programming languages corresponding to the paradigms we used were C, C++ and Prolog. In the paper we present some details of our mobile robot hardware and software structure, focusing on the software design and implementation.

• Journal of KIISE
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• v.43 no.8
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• pp.893-901
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• 2016

In Internet of Things (IoT) environments, users are required to search for IoT devices necessary to access services for accomplishing their tasks. As IoT technologies advance, a user task will utilize various types of IoT-based services that are deployed in an IoT environment. Therefore, to accomplish a user task effectively, the services that utilize IoT devices need to be found in a certain geographical region. In addition, the service discovery needs to be accomplished in a stable manner while considering dynamically changing IoT environments. To deal with these issues, we propose two service discovery methods that consider geographic cohesiveness of services in IoT environments. We compare the effectiveness of the proposed methods against a traditional service discovery algorithm that does not consider geographic cohesiveness.

• Journal of Korea Technology Innovation Society
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• v.19 no.2
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• pp.231-253
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• 2016

The purpose of this study is two fold. First, we will explore the meaning, spread effect and consideration factors of manufacturing innovation in terms of theoretical perspective. Second, we will verify the status of high performance computing (HPC) utilization policy, and analyze the situation of US and Korea. Manufacturing innovation policy in each country has the objective in common which aims epoch-making enhancing of productivity. Nevertheless it can be characterized as innovation oriented policy rather than simple trial of productivity improvement. For long term growth and employment, the need for reindustrialization instead of deindustrialization should be recognized. Employment may be decreased temporarily and partially due to manufacturing innovation. However net effect of employment increasing will be bigger because of indirect employment. HPC utilization policy has the importance as a separate movement other than as a subset of manufacturing innovation. US government is trying to eliminate the bottleneck elements in adoption of HPC based M&S activity, and to promote the way of problem solving through the mechanism of public-private partnership, in spite of low level of HPC based M&S. In Korea, ecosystem related with the activity of HPC based M&S is needed, and expansion of M&S utilization in manufacturing companies and fostering of M&S supporting institutions will be important for this task.