• Title/Summary/Keyword: apache

Search Result 361, Processing Time 0.03 seconds

Study on Web Server Configuration using Apache Modeling Language (Apache Modeling Language를 이용한 웹 서버 설정에 대한 연구)

  • Kyung, Min-Gi;Ku, Min-O;Cho, Na-Yun;Min, Dug-Ki
    • 한국IT서비스학회:학술대회논문집
    • /
    • 2010.05a
    • /
    • pp.525-528
    • /
    • 2010
  • 웹 서비스에 대한 증가하는 데이터 수요를 감당하기 위해서 많은 웹 서버들이 이용되고 있다. 현재의 웹 서비스 분야에서 클러스터와 대용량 데이터 처리의 중요성이 높아지고 있다. 또한 웹 서버의 설정이 서비스 제공자의 필요에 따라 유기적으로 변경이 가능해야한다. 하지만 현재 서비스 개발자들은 UML 등의 언어를 이용해서 비즈니스 프로세스를 디자인한다. 하지만 빠르게 변화하는 비즈니스 프로세스를 웹 서버에 적용하는 보편화된 방법은 존재하지 않는다. 본 논문에서는 웹 서버 시장에서 쓰이고 있는 Apache 서버와 웹서버의 실질적인 동작을 묘사하는 FMC (Fundamental Modeling Concepts)의 Apache Modeling Language를 이용해서 Apache 웹 서버에 대한 설정 작업을 수행하는 방법에 대해 제안한다.

  • PDF

Lambda Architecture Design using Apache Kudu and Impala (Apache Kudu와 Impala를 활용한 Lambda Arch tecture 설계)

  • Hwang, Yun-Young;Lee, Pil-Won;Shin, Yong-Tae
    • Annual Conference of KIPS
    • /
    • 2020.05a
    • /
    • pp.60-62
    • /
    • 2020
  • 데이터의 양은 기술의 발전으로 발생하는 크게 증가하였고 다양한 빅데이터 처리 플랫폼이 등장하고 있다. 이 중 가장 널리 사용되고 있는 품랫폼이 Apache 소프트웨어 재단에서 개발한 Hadoop이며, Hadoop은 IoT 분야에도 사용된다. 그러나 기존에 Hadoop 기반 IoT 센서 데이터 수집 분석 환경은 Hadoop의 코어 프로젝트인 HDFS의 Small File로 인한 네임노드의 과부하 문제와 Import된 데이터의 Update나 Delete가 불가능하다는 문제가 있다. 본 논문에서는 Apache Kudu와 Impala를 활용해 Lambda Architecture를 설계한다. 제안하는 Architecture는 IoT 센서 데이터를 Cold-Data와 Hot-Data로 분류해 각 성격에 맞는 스토리지에 저장하고 Batch를 동해 생성된 Batch-View와 Apache Kudu와 Impala를 통해 생성된 Real-time View를 활용해 기존 Hadoop 기반 IoT 센서 데이터 수집 분석 환경의 문제를 해결하고 사용자가 분석된 데이터에 접근하는 시간을 단축한다.

Mobile Edge Computing based Building Disaster Alert System Implementation (Mobile Edge Computing을 활용한 건물 재난 알림 시스템 구축 방안)

  • Ha, Taeyoung;Kim, Jungsung;Chung, Jong-Moon
    • Journal of Internet Computing and Services
    • /
    • v.18 no.4
    • /
    • pp.35-42
    • /
    • 2017
  • In this paper, a building disaster notification system with MEC (Mobile Edge Computing) technology is proposed, which informs people in a building about the disaster. The overview of MEC is presented, and the structure and characteristics of network using MEC are described. In addition, the characteristics of a enterprise integration pattern based Apache Camel is described, and how to implement MEC with Apache Camel is presented. Finally, an implementation method of building disaster notification system with Apache Camel based MEC is proposed to quickly recognize disasters through sensors and to rapidly evacuate people from buildings.

Comparative Analysis of the Accuracy of Severity Scoring Systems for the Prediction of Healthcare Outcomes of Intensive Care Unit Patients (중환자실 환자의 건강결과 예측을 위한 중증도 평가도구의 정확도 비교분석)

  • Seong, Ji-Suk;So, HeeYoung
    • Journal of Korean Critical Care Nursing
    • /
    • v.8 no.1
    • /
    • pp.71-79
    • /
    • 2015
  • Purpose: The purpose of this study was to compare the applicability of the Charlson Comorbidity Index (CCI) and Acute Physiology, Age, Chronic Health Evaluation III (APACHE III) to the prediction of the healthcare outcomes of intensive care unit (ICU) patients. Methods: This research was performed with 136 adult patients (age>18 years) who were admitted to the ICU between May and June 2012. Data were measured using the CCI score with a comorbidity index of 19 and the APACHE III score on the standard of the worst result with vital signs and laboratory results. Discrimination was evaluated using receiver operating characteristic (ROC) curves and area under an ROC curve (AUC). Calibration was performed using logistic regression. Results: The overall mortality was 25.7%. The mean CCI and APACHE III scores for survivors were found to be significantly lower than those of non-survivors. The AUC was 0.835 for the APACHE III score and remained high, at 0.688, for the CCI score. The rate of concordance according to the CCI and the APACHE III score was 69.1%. Conclusion: The route of admission, days in ICU, CCI, and APACHE III score are associated with an increased mortality risk in ICU patients.

Patient Severity Classification in a Medical ICU using APACHE Ⅲ and Patient Severity Classification Tool (APACHE Ⅲ를 이용한 중환자 분류도구의 타당도 검증)

  • Lee, Gyeong-Ok;Sin, Hyeon-Ju;Park, Hyeon-Ae;Jeong, Hyeon-Myeong;Lee, Mi-Hye;Choe, Eun-Ha;Lee, Jeong-Mi;Kim, Yu-Ja;Sim, Yun-Gyeong;Park, Gwi-Ju
    • Journal of Korean Academy of Nursing
    • /
    • v.30 no.5
    • /
    • pp.1243-1253
    • /
    • 2000
  • The purpose of this study was to verify the validity of the Patient Severity Classification Tool by examining the correlations between the APACHE Ⅲ and the Patient Severity Classification Tool and to propose admission criteria to the ICU. The instruments used for this study were the APACHE Ⅲ developed by Knaus and the Patient Severity Classification Tool developed by Korean Clinical Nurses Association. Data was collected from the 156 Medical ICU patients during their first 24 hours of admission at the Seoul National University Hospital by three trained Medical ICU nurses from April 20 to August 31 1999. Data were analyzed using the frequency, $x^2$, Wilcoxon rank sum test, and Spearman rho. There was statistically significant correlations between the scores of the APACHE III and the Patient Severity Classification Tool. Mortality rate was increased as patients classification of severity in both the APACHE III and the Patient Severity Classification Tool scored higher. The Patient Severity Classification Tool was proved to be a valid and reliable tool, and a useful tool as one of the severity predicting factors, ICU admission criteria, information sharing between ICUs, quality evaluations of ICUs, and ICU nurse staffing.

  • PDF

Acute Respiratory Distress Syndrome in Respiratory Intensive Care Unit (호흡기계 중환자실에서 치료 관리된 급성호흡곤란증후군의 임상특성)

  • Moon, Seung-Hyug;Song, Sang-Hoon;Jung, Ho-Seuk;Yeun, Dong-Jin;Uh, Su-Tack;Kim, Yong-Hoon;Park, Choon-Sik
    • Tuberculosis and Respiratory Diseases
    • /
    • v.45 no.6
    • /
    • pp.1252-1264
    • /
    • 1998
  • Background : Patients with established ARDS have a mortality rate that exceeds 50 percent despite of intensive care including artificial ventilation modality, Mortality has been associated with sepsis and organ failure preceding or following ARDS ; APACHE II score ; old age and predisposing factors. Revised ventilator strategy over last 10 years especially at ARDS appeared to improve the mortality of it. We retrospectively investigated 40 ARDS patients of respiratory-care unit to examine how these factors influence outcome. Methods : A retrospective investigation of 40 ARDS patients in respiratory-care unit with ventilator management over 46 months was performed. We investigated the clinical characteristics such as a risk factor, cause of death and mortality, and also parameters such as APACHE II score, number of organ dysfunction, and hypoxia score (HS, $PaO_2/FIO_2$) at day 1, 3, 7 of severe acute lung injury, and simultaneously the PEEP level and tidal volume. Results : Clinical conditions associated with ARDS were sepsis 50%, pneumonia 30%, aspiration pneumonia 20%, and mortality rate based on the etiology of ARDS was sepsis 50%, pneumonia 67%(p<0.01 vs sepsis), aspiration pneumonia 38%. Overall mortality rate was 60%. In 28 day-nonsurvivors, leading cause of death was severe sepsis(42.9%) followed by MOF(28.6%), respiratory failure(19.1 %), and others(9.5%). There were no differences in variables of age, sex, APACHE II score, HS, and numbers of organ dysfunction at day 1 of ARDS between 28-days survivor and nonsurvivors. In view of categorized variables of age(>70), APACHE II score(>26), HS(<150) at day 1 of ARDS, there were significant differences between 28-days survivor and nonsurvivors(p<0.05). After day 1 of ARDS, the survivors have improved their APACHE II score, HS, numbers of organ dysfunction over the first 3d to 7d, but nonsurvivors did not improve over a seven-day course. There were significant differences in APACHE II score and numbers of organ dysfunction of day 3, 7 of ARDS, and HS of day 7 of ARDS between survivors and nonsurvivors(p<0.05). Fatality rate of ARDS has been declined from 68% to less than 40% between 1995 and 1998. There were no differences in APACHE II score, HS, numbers of organ dysfunction, old age at presentation of ARDS. In last years, mean PEEP level was significantly higher and mean tidal volume was significantly lower than previous years during seven days of ARDS(p<0.01). Conclusions : Improvement of HS, APACHE II score, organ dysfunction over the first 3d to 7d is associated with increased survival Decline in ARDS fatality rates between 1995 and 1998 seems that this trend must be attributed to improved supportive therapy including at least high PEEP instead of conventional-least PEEP approach in ventilator management of acute respiratory distress syndrome.

  • PDF

Group Management System based on Apache Web Server and Android App (Apache 웹서버와 Android 앱 기반의 동호회 관리 시스템)

  • Eun, Jong-Min;Oh, Jae-Kon;Kim, Jeong-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.18 no.2
    • /
    • pp.141-147
    • /
    • 2018
  • The group is one of the hobbies and other life groups, and each person in the group directly attends the meeting and works on the topic of the group. In this paper, we implemented voting, announcements, surveys, and suggestions, which are necessary functions for similar groups including group. We also provide web sites based on Apache web server for convenience of Android smartphone applications, OS except Android, Group management can be managed by using the manager's website which can manage the whole group management. It is designed with Apache web server, web communication language PHP, MySQL database, and Android.

Interhospital Comparison of Outcome from Intensive Care Unit with APACH III Scoring System (APACHE III 시스템을 이용한 병원간 중환자실 치료결과 비교분석)

  • Lee, Duk-Hee;No, Mee-Young;Kim, Byung-Sung
    • Journal of Preventive Medicine and Public Health
    • /
    • v.27 no.3 s.47
    • /
    • pp.437-445
    • /
    • 1994
  • The objective of this study was to evaluate outcome for the patients of the intensive care unit, using APACHE III prognostic system. We prospectively collected the information of 429 patients in intensive care units at 2 tertiary care hospitals and 4 secondary care hospitals in PUSAN who had been admitted from December 1, 1993 to February 28, 1994. The results were as follows. 1. APACHE III scores were various from 0 to 173. But the distribution of the scores were similar between tertiary care hospitals and secondary care hospitals. 2. The mortality rate significantly increased as APACHE III score rised (p<0.001). Within the interval of same score, generally, the mortality of operative patients was higher in secondary care hospitals but in the case of nonoperative patients higher in tertiary care hospitals. 3. When the tertiary care hospitals compared with secondary for ratio of the predicted mortality rate to the actual mortality rate, there was little difference. 4. When we compared the 6 hospitals, one hospital had significantly better results and another hospital was significantly inferior (p<0.05).

  • PDF

Apache-Shttp: The Development of Secure Web Server (Apache-Shttp : 안전한 웹 서버 개발)

  • 박정수;조은경;함진호
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 1998.11a
    • /
    • pp.463-466
    • /
    • 1998
  • 다양한 응용분야에서 사용되고 있는 웹은 최근 전자상거래 둥에서의 이용에 대한 기대가 한층 고조되고 있다. 그러나 이러한 웹은 전자상거래 행위에서 특히 중요한 부인봉쇄 서비스가 제공되고 있지 않으며 64비트 이하의 비도로 기밀성 서비스를 제공하고 있다. 이 논문에서는 WWW의 보안 요구사항 및 이를 위한 WWW 프로토콜로 IETF(Internet Engieering Task force)에서 제안한 S-HTTP(Secure HTTP, Secure HyperText Transfer Protocol)를 기반으로 하는 안전한 WWW시스템 개발, Apache-Shttp를 위한 기능 설계, 개발 환경 및 개발된 시스템의 시연을 기술한다.

  • PDF

An Implementation of Web-Enabled OLAP Server in Korean HealthCare BigData Platform (한국 보건의료 빅데이터 플랫폼에서 웹 기반 OLAP 서버 구현)

  • Ly, Pichponreay;Kim, jin-hyuk;Jung, seung-hyun;Lee, kyung-hee Lee;Cho, wan-sup
    • Proceedings of the Korea Contents Association Conference
    • /
    • 2017.05a
    • /
    • pp.33-34
    • /
    • 2017
  • In 2015, Ministry of Health and Welfare of Korea announced a research and development plan of using Korean healthcare data to support decision making, reduce cost and enhance a better treatment. This project relies on the adoption of BigData technology such as Apache Hadoop, Apache Spark to store and process HealthCare Data from various institution. Here we present an approach a design and implementation of OLAP server in Korean HealthCare BigData platform. This approach is used to establish a basis for promoting personalized healthcare research for decision making, forecasting disease and developing customized diagnosis and treatment.

  • PDF