• Title/Summary/Keyword: logical clustering

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Dynamic Clustering based Optimization Technique and Quality Assessment Model of Mobile Cloud Computing (동적 클러스터링 기반 모바일 클라우드 컴퓨팅의 최적화 기법 및 품질 평가 모델)

  • Kim, Dae Young;La, Hyun Jung;Kim, Soo Dong
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.6
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    • pp.383-394
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    • 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. Typically, in MCC, many nodes with different operating systems and platform and diverse mobile applications or services are located, and a central manager autonomously performs several management tasks to maintain a consistent level of MCC overall quality. However, as there are a larger number of nodes, mobile applications, and services subscribed by the mobile applications and their interactions are extremely increased, a traditional management method of MCC reveals a fundamental problem of degrading its overall performance due to overloaded management tasks to the central manager, i.e. a bottle neck phenomenon. Therefore, in this paper, we propose a clustering-based optimization method to solve performance-related problems on large-scaled MCC and to stabilize its overall quality. With our proposed method, we can ensure to minimize the management overloads and stabilize the quality of MCC in an active and autonomous way.

Management System of On-line Mode Client-cluster (온라인 모드 클라이언트-클러스터 운영 시스템)

  • 박제호;박용범
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.4 no.2
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    • pp.108-113
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    • 2003
  • Research results have demonstrated that conventional client-server databases have scalability problem in the presence of many concurrent clients. The multi-tier architecture that exploits similarities in clients' object access behavior partitions clients into logical clusters according to their object request pattern. As a result, object requests that are served inside the clusters, server load and request response time can be optimized. Management of clustering by utilizing clients' access pattern-based is an important component for the system's goal. Off-line methods optimizes the quality of the global clustering, the necessary cost and clustering schedule needs to be considered and planned carefully in respect of stable system's performance. In this paper, we propose methods that detect changes in access behavior and optimize system configuration in real time. Finally this paper demonstrates the effectiveness of on-line change detection and results of experimental investigation concerning reconfiguration.

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A Method for Dynamic Clustering-based Efficient Management in Large-Scale IoT Environment (대규모 IoT 컴퓨팅 환경에서 동적 클러스터링 기반 효율적 관리 기법)

  • Kim, Dae Young;La, Hyun Jung
    • Journal of Internet Computing and Services
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    • v.15 no.6
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    • pp.85-97
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    • 2014
  • IoT devices that collect information for end users and provide various services like giving traffic or weather information to them that are located everywhere aim to raise quality of life. Currently, the number of devices has dramatically increased so that there are many companies and laboratories for developing various IoT devices in the world. However, research about IoT computing such as connecting IoT devices or management is at an early stage. A server node that manages lots of IoT device in IoT computing environment is certainly needed. But, it is difficult to manage lots of devices efficiently. However, anyone cannot surly know about how many servers are needed or where they are located in the environment. In this paper, we suggest a method that is a way to dynamic clustering IoT computing environment by logical distance among devices. With our proposed method, we can ensure to manage the quality in large-scale IoT environment efficiently.

ESBL: An Energy-Efficient Scheme by Balancing Load in Group Based WSNs

  • Mehmood, Amjad;Nouman, Muhammad;Umar, Muhammad Muneer;Song, Houbing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.10
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    • pp.4883-4901
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    • 2016
  • Energy efficiency in Wireless Sensor Networks (WSNs) is very appealing research area due to serious constrains on resources like storage, processing, and communication power of the sensor nodes. Due to limited capabilities of sensing nodes, such networks are composed of a large number of nodes. The higher number of nodes increases the overall performance in data collection from environment and transmission of packets among nodes. In such networks the nodes sense data and ultimately forward the information to a Base Station (BS). The main issues in WSNs revolve around energy consumption and delay in relaying of data. A lot of research work has been published in this area of achieving energy efficiency in the network. Various techniques have been proposed to divide such networks; like grid division of network, group based division, clustering, making logical layers of network, variable size clusters or groups and so on. In this paper a new technique of group based WSNs is proposed by using some features from recent published protocols i.e. "Energy-Efficient Multi-level and Distance Aware Clustering (EEMDC)" and "Energy-Efficient Multi-level and Distance Aware Clustering (EEUC)". The proposed work is not only energy-efficient but also minimizes the delay in relaying of data from the sensor nodes to BS. Simulation results show, that it outperforms LEACH protocol by 38%, EEMDC by 10% and EEUC by 13%.

Scalability Estimations of a Workcase-based Workflow Engine (워크케이스 기반 워크플로우 엔진의 초대형성 성능 평가)

  • Ahn, Hyung-Jin;Park, Min-Jae;Lee, Ki-Won;Kim, Kwang-Hoon
    • Journal of Internet Computing and Services
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    • v.9 no.6
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    • pp.89-97
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    • 2008
  • Recently, many organizations such as companies or institutions have demanded induction of very large-scale workflow management system in order to process a large number of business-instances. Workflow-related vendors have focused on physical extension of workflow engines based on device-level clustering, so as to provide very large-scale workflow services. Performance improvement of workflow engine by simple physical-connection among computer systems which don't consider logical-level software architecture lead to wastes of time and cost for construction of very large-scale workflow service environment. In this paper, we propose methodology for performance improvement based on logical software architectures of workflow engine. We also evaluate scalable performance between workflow engines using the activity instance based architecture and workcase based architecture, our proposed architecture. Through analysis of this test's result, we can observe that software architectures to be applied on a workflow engine have an effect on scalable performance.

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A Statistical Approach for Extracting and Miming Relation between Concepts (개념간 관계의 추출과 명명을 위한 통계적 접근방법)

  • Kim Hee-soo;Choi Ikkyu;Kim Minkoo
    • The KIPS Transactions:PartB
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    • v.12B no.4 s.100
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    • pp.479-486
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    • 2005
  • The ontology was proposed to construct the logical basis of semantic web. Ontology represents domain knowledge in the formal form and it enables that machine understand domain knowledge and provide appropriate intelligent service for user request. However, the construction and the maintenance of ontology requires large amount of cost and human efforts. This paper proposes an automatic ontology construction method for defining relation between concepts in the documents. The Proposed method works as following steps. First we find concept pairs which compose association rule based on the concepts in domain specific documents. Next, we find pattern that describes the relation between concepts by clustering the context between two concepts composing association rule. Last, find generalized pattern name by clustering the clustered patterns. To verify the proposed method, we extract relation between concepts and evaluate the result using documents set provide by TREC(Text Retrieval Conference). The result shows that proposed method cant provide useful information that describes relation between concepts.

Prediction of Product Life Cycle Using Data Mining Algorithms : A Case Study of Clothing Industry (데이터마이닝 알고리즘을 이용한 제품수명주기 예측 : 의류산업 적용사례)

  • Lee, Seulki;Kang, Ji Hoon;Lee, Hankyu;Joo, Tae Woo;Oh, Shawn;Park, Sungwook;Kim, Seoung Bum
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.3
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    • pp.291-298
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    • 2014
  • Demand forecasting plays a key role in overall business activities such as production planning, distribution management, and inventory management. Especially, for a fast-changing environment of the clothing industry, logical forecasting techniques are required. In this study, we propose a procedure to predict product life cycle using data mining algorithms. The proposed procedure involves three steps : extracting key variables from profiles, clustering, and classification. The effectiveness and applicability of the proposed procedure were demonstrated through a real data from a leading clothing company in Korea.

A Case Study of the Community-based Nonformal Environmental Education Program Development-On the Case of the Nature School in the Forest- (지역기반 사회환경교육 프로그램 개발에 관한 연구-생태보전시민모임 숲속 자연학교 사례-)

  • Ji Eun-Kyoung;Kim, Jong-Wook
    • Hwankyungkyoyuk
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    • v.16 no.1
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    • pp.34-47
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    • 2003
  • The purpose of this study is to analyze the program development process of a nonformal environmental education(EE) program in detail. For the purpose, following research questions were answered in "the Nature School in the Forest" program in Eco-Club 1) What is the program development process? 2) What is the role of staffs, program developers, in the program development process? What are the meanings of their pedagogical approach? 3) With the findings of this study, how is the researcher able to develop ground theory for community-based nonformal EE, and to promote theoretical discussion for field improvement? The data were mainly gathered through participation observation and unstructured interview. And the data were analyzed by qualitative techniques such as clustering, factoring, noting pattern and themes, seeing plausibility, making metaphors, and building logical chain of evidence. The following conclusion comes out of the findings of this study. "The Nature School in the Forest" program is a educational device which the community-based NGO chose as a strategy to change individuals and community with its ideological purpose. And the program development process was the contiuous group decision-making process among staffs and volunteers. Consequently "the Nature School in the Forest" program is a circulated process of the voluntary activists training and their participation in program operation.

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Dynamic Text Categorizing Method using Text Mining and Association Rule

  • Kim, Young-Wook;Kim, Ki-Hyun;Lee, Hong-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.10
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    • pp.103-109
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    • 2018
  • In this paper, we propose a dynamic document classification method which breaks away from existing document classification method with artificial categorization rules focusing on suppliers and has changing categorization rules according to users' needs or social trends. The core of this dynamic document classification method lies in the fact that it creates classification criteria real-time by using topic modeling techniques without standardized category rules, which does not force users to use unnecessary frames. In addition, it can also search the details through the relevance analysis by calculating the relationship between the words that is difficult to grasp by word frequency alone. Rather than for logical and systematic documents, this method proposed can be used more effectively for situation analysis and retrieving information of unstructured data which do not fit the category of existing classification such as VOC (Voice Of Customer), SNS and customer reviews of Internet shopping malls and it can react to users' needs flexibly. In addition, it has no process of selecting the classification rules by the suppliers and in case there is a misclassification, it requires no manual work, which reduces unnecessary workload.

A Hermeneutical Analysis of the Program Development for Extension Education in Korea (농촌지도사업 교육프로그램 개발에 대한 해석학적 분석)

  • Kim, Jin-Hwa;Joeng, Ji-Woong
    • Journal of Agricultural Extension & Community Development
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    • v.3 no.2
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    • pp.247-264
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    • 1996
  • The objective of this study was to analyze the reality of the program development process in detail accomplished by the organizations of extension education in through the hermeneutical approach. To achieve this purpose, this study tried to find answers to the following three questions : (1) how the organization of extension education develop their programs for farmers? (2) what is the programmers' awareness to the process of program development? and what is the reason for their thought and action to do so. (3) can be discussed integrally the findings for drawing some implications? The qualitative data were mainly gathered through participation observation and unstructured interview. And the qualitative data were analyzed by (1) noting pattern and themes, (2) seeing plausibility, (3) clustering, (4) making metaphors, (5) factoring, and (6) building a logical chain of evidence which hermeneutical techniques far drawing the meaning from the gathered data. The findings of this study were as follows: The programmers of this organization carried out the developing program in the technical training division at the national level and the section of fostering farm manager at the county level for the purpose of delivering the agricultural new technology and the agricultural policy. The term used formly in this organization was `curriculum development for former', and the reality of program was `instruction profile` which signified the set of the educational manin contents. At county level, Educational planning was stressed on the implement of educational administration.

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