• Title/Summary/Keyword: Information Lead Time

Search Result 794, Processing Time 0.03 seconds

Endoscopic radiofrequency Stretta therapy reduces proton pump inhibitor dependency and the need for anti-reflux surgery for refractory gastroesophageal reflux disease

  • Abraham Joel;Alakh Konjengbam;Yirupaiahgari Viswanath;Georgios Kourounis;Emily Hammond;Helen Frank;Shivani Kuttuva;Simon Mbarushimana;Hena Hidayat;Srivishnu Thulasiraman
    • Clinical Endoscopy
    • /
    • v.57 no.1
    • /
    • pp.58-64
    • /
    • 2024
  • Background/Aims: Radiofrequency treatment of the gastroesophageal junction using the Stretta procedure for treating gastroesophageal reflux disease (GERD) is observed to improve the symptoms and proton pump inhibitor (PPI) dependence and reduce the need for anti-reflux operations. As one of the largest studies in Europe, we evaluated the clinical outcomes of Stretta in patients with medically refractory GERD. Methods: A tertiary UK center evaluated all patients with refractory GERD who underwent Stretta between 2014 and 2022. Patients and primary care professionals were contacted to obtain information regarding the initiation of PPI and reintervention after Stretta. Results: Of the 195 patients (median age, 55 years; 116 women [59.5%]) who underwent Stretta, PPI-free period (PFP) data were available for 144 (73.8%) patients. Overall, 66 patients (45.8%) did not receive PPI after a median follow-up of 55 months. Six patients (3.1%) underwent further interventions. The median PFP after Stretta was 41 months. There was a significant negative correlation between PFP and age (p=0.007), with no differences between sexes (p=0.96). Patients younger than 55 years of age had a longer PFP than their older counterparts (p=0.005). Younger males had a significantly longer PFP than older males (p=0.021). However, this was not observed in the female cohort (p=0.09) or between the younger men and women (p=0.66). Conclusions: Our findings suggest that Stretta is a safe and feasible option for treating refractory GERD, especially in younger patients. It prevents further anti-reflux interventions in most patients and increases the lead-time to surgery in patients with refractory GERD.

A Regression-Model-based Method for Combining Interestingness Measures of Association Rule Mining (연관상품 추천을 위한 회귀분석모형 기반 연관 규칙 척도 결합기법)

  • Lee, Dongwon
    • Journal of Intelligence and Information Systems
    • /
    • v.23 no.1
    • /
    • pp.127-141
    • /
    • 2017
  • Advances in Internet technologies and the proliferation of mobile devices enabled consumers to approach a wide range of goods and services, while causing an adverse effect that they have hard time reaching their congenial items even if they devote much time to searching for them. Accordingly, businesses are using the recommender systems to provide tools for consumers to find the desired items more easily. Association Rule Mining (ARM) technology is advantageous to recommender systems in that ARM provides intuitive form of a rule with interestingness measures (support, confidence, and lift) describing the relationship between items. Given an item, its relevant items can be distinguished with the help of the measures that show the strength of relationship between items. Based on the strength, the most pertinent items can be chosen among other items and exposed to a given item's web page. However, the diversity of the measures may confuse which items are more recommendable. Given two rules, for example, one rule's support and confidence may not be concurrently superior to the other rule's. Such discrepancy of the measures in distinguishing one rule's superiority from other rules may cause difficulty in selecting proper items for recommendation. In addition, in an online environment where a web page or mobile screen can provide a limited number of recommendations that attract consumer interest, the prudent selection of items to be included in the list of recommendations is very important. The exposure of items of little interest may lead consumers to ignore the recommendations. Then, such consumers will possibly not pay attention to other forms of marketing activities. Therefore, the measures should be aligned with the probability of consumer's acceptance of recommendations. For this reason, this study proposes a model-based approach to combine those measures into one unified measure that can consistently determine the ranking of recommended items. A regression model was designed to describe how well the measures (independent variables; i.e., support, confidence, and lift) explain consumer's acceptance of recommendations (dependent variables, hit rate of recommended items). The model is intuitive to understand and easy to use in that the equation consists of the commonly used measures for ARM and can be used in the estimation of hit rates. The experiment using transaction data from one of the Korea's largest online shopping malls was conducted to show that the proposed model can improve the hit rates of recommendations. From the top of the list to 13th place, recommended items in the higher rakings from the proposed model show the higher hit rates than those from the competitive model's. The result shows that the proposed model's performance is superior to the competitive model's in online recommendation environment. In a web page, consumers are provided around ten recommendations with which the proposed model outperforms. Moreover, a mobile device cannot expose many items simultaneously due to its limited screen size. Therefore, the result shows that the newly devised recommendation technique is suitable for the mobile recommender systems. While this study has been conducted to cover the cross-selling in online shopping malls that handle merchandise, the proposed method can be expected to be applied in various situations under which association rules apply. For example, this model can be applied to medical diagnostic systems that predict candidate diseases from a patient's symptoms. To increase the efficiency of the model, additional variables will need to be considered for the elaboration of the model in future studies. For example, price can be a good candidate for an explanatory variable because it has a major impact on consumer purchase decisions. If the prices of recommended items are much higher than the items in which a consumer is interested, the consumer may hesitate to accept the recommendations.

A Study on Survey of Improvement of Non Face to Face Education focused on Professor of Disaster Management Field in COVID-19 (코로나19 상황에서 재난분야 교수자를 대상으로 한 비대면 교육의 개선에 관한 조사연구)

  • Park, Jin Chan;Beck, Min Ho
    • Journal of the Society of Disaster Information
    • /
    • v.17 no.3
    • /
    • pp.640-654
    • /
    • 2021
  • Purpose: Normal education operation was difficult in the national disaster situation of Coronavirus Infection-19. Non-face-to-face education can be an alternative to face to face education, but it is not easy to provide the same level of education. In this study, the professor of disaster management field will identify problems that can occur in the overall operation and progress of non-face-to-face education and seek ways to improve non-face-to-face education. Method: Non-face-to-face real-time education was largely categorized into pre-class, in-class, post-class, and evaluation, and case studies were conducted through the professor's case studies. Result&Conclusion: The results of the survey are as follows: First, pre-class, it was worth considering providing a non-face-to-face educational place for professors, and the need for prior education on non-face-to-face educational equipment and systems was required. In addition, it seems necessary to make sure that education is operated smoothly by giving enough notice on classes and to make efforts to develop non-face-to-face education programs for practical class. Second, communication between professor and learner, and among learners can be an important factor in non-face-to-face mid classes. To this end, it is necessary to actively utilize debate-type classes to lead learners to participate in education and enhance the educational effect through constant interaction. Third, non-face-to-face post classes, policies on the protection of privacy due to video records should be prepared to protect the privacy of professors in advance, and copyright infringement on educational materials should also be considered. In addition, it is necessary to devise various methods for fair and objective evaluation. According to the results of the interview, in the contents, which are components of non-face-to-face education, non-face-to-face education requires detailed plans on the number of students, contents, and curriculum suitable for non-face-to-face education from the design of the education. In the system, it is necessary to give the professor enough time to fully learn and familiarize with the function of the program through pre-education on the program before the professor gives non-face-to-face classes, and to operate the helpdesk, which can thoroughly check the pre-examination before non-face-to-face education and quickly resolve the problem in case of a problem.

Pareto Ratio and Inequality Level of Knowledge Sharing in Virtual Knowledge Collaboration: Analysis of Behaviors on Wikipedia (지식 공유의 파레토 비율 및 불평등 정도와 가상 지식 협업: 위키피디아 행위 데이터 분석)

  • Park, Hyun-Jung;Shin, Kyung-Shik
    • Journal of Intelligence and Information Systems
    • /
    • v.20 no.3
    • /
    • pp.19-43
    • /
    • 2014
  • The Pareto principle, also known as the 80-20 rule, states that roughly 80% of the effects come from 20% of the causes for many events including natural phenomena. It has been recognized as a golden rule in business with a wide application of such discovery like 20 percent of customers resulting in 80 percent of total sales. On the other hand, the Long Tail theory, pointing out that "the trivial many" produces more value than "the vital few," has gained popularity in recent times with a tremendous reduction of distribution and inventory costs through the development of ICT(Information and Communication Technology). This study started with a view to illuminating how these two primary business paradigms-Pareto principle and Long Tail theory-relates to the success of virtual knowledge collaboration. The importance of virtual knowledge collaboration is soaring in this era of globalization and virtualization transcending geographical and temporal constraints. Many previous studies on knowledge sharing have focused on the factors to affect knowledge sharing, seeking to boost individual knowledge sharing and resolve the social dilemma caused from the fact that rational individuals are likely to rather consume than contribute knowledge. Knowledge collaboration can be defined as the creation of knowledge by not only sharing knowledge, but also by transforming and integrating such knowledge. In this perspective of knowledge collaboration, the relative distribution of knowledge sharing among participants can count as much as the absolute amounts of individual knowledge sharing. In particular, whether the more contribution of the upper 20 percent of participants in knowledge sharing will enhance the efficiency of overall knowledge collaboration is an issue of interest. This study deals with the effect of this sort of knowledge sharing distribution on the efficiency of knowledge collaboration and is extended to reflect the work characteristics. All analyses were conducted based on actual data instead of self-reported questionnaire surveys. More specifically, we analyzed the collaborative behaviors of editors of 2,978 English Wikipedia featured articles, which are the best quality grade of articles in English Wikipedia. We adopted Pareto ratio, the ratio of the number of knowledge contribution of the upper 20 percent of participants to the total number of knowledge contribution made by the total participants of an article group, to examine the effect of Pareto principle. In addition, Gini coefficient, which represents the inequality of income among a group of people, was applied to reveal the effect of inequality of knowledge contribution. Hypotheses were set up based on the assumption that the higher ratio of knowledge contribution by more highly motivated participants will lead to the higher collaboration efficiency, but if the ratio gets too high, the collaboration efficiency will be exacerbated because overall informational diversity is threatened and knowledge contribution of less motivated participants is intimidated. Cox regression models were formulated for each of the focal variables-Pareto ratio and Gini coefficient-with seven control variables such as the number of editors involved in an article, the average time length between successive edits of an article, the number of sections a featured article has, etc. The dependent variable of the Cox models is the time spent from article initiation to promotion to the featured article level, indicating the efficiency of knowledge collaboration. To examine whether the effects of the focal variables vary depending on the characteristics of a group task, we classified 2,978 featured articles into two categories: Academic and Non-academic. Academic articles refer to at least one paper published at an SCI, SSCI, A&HCI, or SCIE journal. We assumed that academic articles are more complex, entail more information processing and problem solving, and thus require more skill variety and expertise. The analysis results indicate the followings; First, Pareto ratio and inequality of knowledge sharing relates in a curvilinear fashion to the collaboration efficiency in an online community, promoting it to an optimal point and undermining it thereafter. Second, the curvilinear effect of Pareto ratio and inequality of knowledge sharing on the collaboration efficiency is more sensitive with a more academic task in an online community.

Design and Implementation of an Execution-Provenance Based Simulation Data Management Framework for Computational Science Engineering Simulation Platform (계산과학공학 플랫폼을 위한 실행-이력 기반의 시뮬레이션 데이터 관리 프레임워크 설계 및 구현)

  • Ma, Jin;Lee, Sik;Cho, Kum-won;Suh, Young-kyoon
    • Journal of Internet Computing and Services
    • /
    • v.19 no.1
    • /
    • pp.77-86
    • /
    • 2018
  • For the past few years, KISTI has been servicing an online simulation execution platform, called EDISON, allowing users to conduct simulations on various scientific applications supplied by diverse computational science and engineering disciplines. Typically, these simulations accompany large-scale computation and accordingly produce a huge volume of output data. One critical issue arising when conducting those simulations on an online platform stems from the fact that a number of users simultaneously submit to the platform their simulation requests (or jobs) with the same (or almost unchanging) input parameters or files, resulting in charging a significant burden on the platform. In other words, the same computing jobs lead to duplicate consumption computing and storage resources at an undesirably fast pace. To overcome excessive resource usage by such identical simulation requests, in this paper we introduce a novel framework, called IceSheet, to efficiently manage simulation data based on execution metadata, that is, provenance. The IceSheet framework captures and stores each provenance associated with a conducted simulation. The collected provenance records are utilized for not only inspecting duplicate simulation requests but also performing search on existing simulation results via an open-source search engine, ElasticSearch. In particular, this paper elaborates on the core components in the IceSheet framework to support the search and reuse on the stored simulation results. We implemented as prototype the proposed framework using the engine in conjunction with the online simulation execution platform. Our evaluation of the framework was performed on the real simulation execution-provenance records collected on the platform. Once the prototyped IceSheet framework fully functions with the platform, users can quickly search for past parameter values entered into desired simulation software and receive existing results on the same input parameter values on the software if any. Therefore, we expect that the proposed framework contributes to eliminating duplicate resource consumption and significantly reducing execution time on the same requests as previously-executed simulations.

A Microgravity for Mapping and Monitoring the Subsurface Cavities (지하 공동의 탐지와 모니터링을 위한 고정밀 중력탐사)

  • Park, Yeong-Sue;Rim, Hyoung-Rae;Lim, Mu-Taek;Koo, Sung-Bon
    • Geophysics and Geophysical Exploration
    • /
    • v.10 no.4
    • /
    • pp.383-392
    • /
    • 2007
  • Karstic features and mining-related cavities not only lead to severe restrictions in land utilizations, but also constitute serious concern about geohazard and groundwater contamination. A microgravity survey was applied for detecting, mapping and monitoring karstic cavities in the test site at Muan prepared by KIGAM. The gravity data were collected using an AutoGrav CG-3 gravimeter at about 800 stations by 5 m interval along paddy paths. The density distribution beneath the profiles was drawn by two dimensional inversion based on the minimum support stabilizing functional, which generated better focused images of density discontinuities. We also imaged three dimensional density distribution by growing body inversion with solution from Euler deconvolution as a priori information. The density image showed that the cavities were dissolved, enlarged and connected into a cavity network system, which was supported by drill hole logs. A time-lapse microgravity was executed on the road in the test site for monitoring the change of the subsurface density distribution before and after grouting. The data were adjusted for reducing the effects due to the different condition of each survey, and inverted to density distributions. They show the change of density structure during the lapsed time, which implies the effects of grouting. This case history at the Muan test site showed that the microgravity with accuracy and precision of ${\mu}Gal$ is an effective and practical tool for detecting, mapping and monitoring the subsurface cavities.

A Coexistence Model in a Dynamic Platform with ICT-based Multi-Value Chains: focusing on Healthcare Service (ICT 기반 다중 가치사슬의 동적 플랫폼에서의 공존 모형: 의료서비스를 중심으로)

  • Lee, Hyun Jung;Chang, Yong Sik
    • Journal of Intelligence and Information Systems
    • /
    • v.23 no.1
    • /
    • pp.69-93
    • /
    • 2017
  • The development of ICT has leaded the diversification and changes of supplies and demands in markets. It also caused the creations of a variety of values which are differentiated from those in the existing market. Therefore, a new-type market is created, which can include multi-value chains which are from ICT-based created markets as well as the existing markets. We defined the platform as the new-type market. In the platform, the multi-value chains can be coexisted with multi-values. In true market, when a new-type value chain entered into an existing market, it is general that it can be conflicted with the existing value chain in the market. The conflicted problem among multi-value chains in a market is caused by the sharing of limited market resources like suppliers, consumers, services or products among the value chains. In other words, if there are multi-value chains in the platform, then it is possible to have conflictions, overlapping, creations or losses of values among the value chains. To solve the problem, we introduce coexistence factors to reduce the conflictions to reach market equilibrium in the platform. In the other hand, it is possible to lead the creations of differentiated values from the existing market and to augment the total market values in the platform. In the early era of ICT development, ICT was introduced for improvement of efficiency and effectiveness of the value chains in the existing market. However, according to the changed role of ICT from the supporter to the promotor of the market, ICT became to lead the variations of the value chains and creations of various values in the markets. For instance, Uber Taxi created a new value chain with ICT-based new-type service or products with new resources like new suppliers and consumers. When Uber and Traditional Taxi services are playing at the same time in Taxi service platform, it is possible to create values or make conflictions among values between the new and old value chains. In this research, like Uber and traditional taxi services, if there are conflictions among the multi-value chains, then it is necessary to minimize the conflictions in the platform for the coexistence of multi-value chains which can create the value-added values in the platform. So, it is important to predict and discuss the possible conflicted problems between new and old value chains. The confliction should be solved to reach market equilibrium with multi-value chains in the platform. That is, we discuss the possibility of the coexistence of multi-value chains in the platform which are comprised of a variety of suppliers and customers. To do this, especially we are focusing on the healthcare markets. Nowadays healthcare markets are popularized in global market as well as domestic. Therefore, there are a lot of and a variety of healthcare services like Traditional-, Tele-, or Intelligent- healthcare services and so on. It shows that there are multi-suppliers, -consumers and -services as components of each different value chain in the same platform. The platform can be shared by different values that are created or overlapped by confliction and loss of values in the value chains. In this research, as was said, we focused on the healthcare services to show if a platform can be shared by different value chains like traditional-, tele-healthcare and intelligent-healthcare services and products. Additionally, we try to show if it is possible to increase the value of each value chain as well as the total value of the platform. As the result, it is possible to increase of each value of each value chain as well as the total value in the platform. Finally, we propose a coexistence model to overcome such problems and showed the possibility of coexistence between the value chains through experimentation.

The Application of Customer Relationship Management for the Effective Prenatal Care (효과적인 산전관리를 위한 고객관계관리(CRM)의 도입)

  • Shin, Sook;Paik, Soo-Kyung;Kang, Sung-Hong;Kim, Yu-Mi
    • Korea Journal of Hospital Management
    • /
    • v.10 no.1
    • /
    • pp.93-114
    • /
    • 2005
  • The prenatal care is the preventive medical service to help the pregnant mother deliver the healthy baby. It's regular examines give some chances to check-up the healthy conditions. This thesis concentrates on the CRM system to support an effective prenatal care system and prove the effectiveness of it. As CRM is the adapted management related to the customer's own information, it is important to develop the CRM model classified by the patients characteristics. A general hospital in Busan operated the CRM system to carry out the effective prenatal care and there is an analysis to ensure the effectiveness of CRM system for the pregnant women in our maternity ward. The results can be summarized as follows: 1) According to the comparisons with the CRM system, we can conclude the system is desirable. (1) Maternal Age : In the age distribution, the prenatal visit frequency, triple marker freqency, oral GTT and targeted ultrasonography in the experimental group in 30 to 34 years old is higher on the whole. For over 35 years old group, the higher frequency comes out in the oral GTT and targeted ultrasonography and for 25 to 29 years old group the different figure shows just in the targeted ultrasonography. (2) Area of residence: There is a clear difference in all the items in Busan and near area but no sign of difference in prenatal visits and oral GTT in other residencial area. Especially in the targeted ultrasonography the higher figure shows in the experimental group located in the both areas. The targeted ultrasonography is known as the specific examination which should be examined by the specialists, on the contrary the other examinations can be operated in the small clinic. So the public information and seminars related with ultrasonography increases the check-up frequency. The clinic requests some ultrasonographical examinations to the specialists in general hospital. (3) Parity: The clear difference shows that the CRM system causes the prenatal visit frequency to become higher in experimental group. The figure is 9.7 times and 8.6 times each. This is opposite that the past study said multiparity reduced the average prenatal visits. But the result of CRM is considered as the method to help the multiparity understand the importance of the prenatal care. (4) Obstetrical history: In the experimental group of the spontaneous delivery group, the figure is higher in the prenatal visit frequency, triple marker, oral GTT and targeted ultrasonography but the Caesarean section delivery group has higher figure in targeted ultrasonography. (5) In the first check-up, the rate of targeted ultrasonography in under 16 week pregnancy, in the 16 week pregnancy to 32 week pregnancy and the over 32 week pregnancy in the experimental group is upper than the compared one. For the oral GTT, there is a difference in under 16 week pregnancy but no difference in prenatal visits and triple marker. 2) The analysis of characteristics of prenatal care through the decision tree resulted in the fact that the most important variable is the residential area. After the delivery frequency is following, the obstetrical history and maternal age are in order. It is the same result in the triple marker and oral GTT. Consequently it is the same order of important variables in CRM system. The effectiveness of CRM system is proved in this study. The CRM system is a marketing method to control and lead the customers through the segmentation of customer data. It increases the new customer aquisition, maintenance of loyal customers, augmentation of customers value, activation of potential customers and creation of life time customers. So eventually it can enlarge the customers value. The medical institution should make efforts to establish the data base enforced by the customer's information on the underlying ordinary data system to carry out the CRM system effectively. In addition, it should develop the a variety of marketing strategy in order to set up one to one marketing satisfying the needs of individual patients.

  • PDF

Study on ${\ulcorner}Bonchojeonghwa{\lrcorner}$ ${\ulcorner}Inbu{\lrcorner}$ ("본초정화(本草精華)" "인부(人部)"에 대한 고찰)

  • Kwon, Young-Bae;Eom, Dong-Myung;Kim, Hong-Kyoon
    • Korean Journal of Oriental Medicine
    • /
    • v.11 no.2
    • /
    • pp.1-22
    • /
    • 2005
  • Study on ${\ulcorner}$Bonchojeonghwa${\lrcorner}$, which is one of the most specialized medical books in Boncho(Herbal Medicines), has been done by comparing it with some other medical books published in the Chosun dynasty. Though there was not meaningful result on e names of Korean medicine by this study and more study should follow in the future, from medicines recorded in ${\ulcorner}$Inbu (a chapter of medical ingredients from human body)${\lrcorner}$, we can reach on some results as follows by comparing in names of Korean medicines, their medical components, relevant explanations and etc. 1. Though it is difficult to know the author and the published year due to absence of the preface and epilogue, the publication is presumed to date from mid-l7th century, from the facts that Muheeong's ${\ulcorner}$Shinnongbonchokyongso${\lrcorner}$ is in the ${\ulcorner}$Bonchojeonghwa${\lrcorner}$'s reference list, and that there is not Hangul expression in the names of medicines nor the Ching dynasty’s books as a reference. 2. As a result of studying on the names of medicines recorded in ${\ulcorner}$Inbu${\lrcorner}$ of the Chosun dynasty's famous medical books, before ${\ulcorner}$ Bonchojeonghwa${\lrcorner}$, 19 medicines in ${\ulcorner}$Hyangyakjipsungbang${\lrcorner}$, 25 in ${\ulcorner}$Donguibogam${\lrcorner}$, and after ${\ulcorner}$Bonchojeonghwa${\lrcorner}$, 6 in ${\ulcorner}$Uimumbogam${\lrcorner}$, 4 in ${\ulcorner}$Kwangjebikup${\lrcorner}$, 11 in ${\ulcorner}$Bangyakhappyon${\lrcorner}$. And there are 37 medicines which are unique, ${\ulcorner}$Bonchojeonghwa${\lrcorner}$ has 31, the biggest records among them. 3. As a result of studying on the names of medicines recorded in 「Inbu」 of the ${\ulcorner}$Bonchojeonghwa${\lrcorner}$ and ${\ulcorner}$ Donguibogam${\lrcorner}$, 22 medicines were recorded in the both books, 9 were only recorded in ${\ulcorner}$Bonchojeonghwa${\lrcorner}$ and 3 were only recorded in ${\ulcorner}$Donguibogam${\lrcorner}$. 3 out of the total 37 medicines recorded in ${\ulcorner}$Inbu${\lrcorner}$ are only recorded in ${\ulcorner}$Hangyakjipsungbang${\lrcorner}$, and more study on this is needed. 4. From the contents recorded in ${\ulcorner}$Bonchojeonghwa${\lrcorner}$ and ${\ulcorner}$Donguibogam${\lrcorner}$, Benchojeonghwa is more in detail than Donguibogam. Thus, it was specialized in Boncho (Herbal Medicines) enough to be compared with general medical books, and played a good role in leading medical science's specialization. 5. Late Chosun dynasty's medical study on Boncho (Herbal Medicines) just like ${\ulcorner}$Bonchojeonghwa${\lrcorner}$ didn't lead to an active development of knowledge communication due to Confucian ethics. This limitation created the trend relying on general medical books or Yaksungga (songs of memorizing Boncho information) for Boncho information, but Boncho information of late Chosun dynasty became more in detail. That is, while Bokhapbang, combination of various medicines, were developed in China, Danmibang, single medicine but different intensity, were developed in Chosun. And thus, even though the kinds of medicines became smaller, but its contents became rather rich. 5. The medicines recorded in ${\ulcorner}$Bonchojeonghwa${\lrcorner}$ and ${\ulcorner}$Donguibogam${\lrcorner}$ are, from the view point of today, unclean or rather uncomfortable to use. Out those medicines, Bunchung, Hwasijangsanginkol, Hongyon, Gonidoogun, Inkondang had been used for a very long time and which proves their medical efficacy, and it is a great pity that they can’t be tried today due to the limitation by modern ethics.

  • PDF

Design and Implementation of Game Server using the Efficient Load Balancing Technology based on CPU Utilization (게임서버의 CPU 사용율 기반 효율적인 부하균등화 기술의 설계 및 구현)

  • Myung, Won-Shig;Han, Jun-Tak
    • Journal of Korea Game Society
    • /
    • v.4 no.4
    • /
    • pp.11-18
    • /
    • 2004
  • The on-line games in the past were played by only two persons exchanging data based on one-to-one connections, whereas recent ones (e.g. MMORPG: Massively Multi-player Online Role-playings Game) enable tens of thousands of people to be connected simultaneously. Specifically, Korea has established an excellent network infrastructure that can't be found anywhere in the world. Almost every household has a high-speed Internet access. What made this possible was, in part, high density of population that has accelerated the formation of good Internet infrastructure. However, this rapid increase in the use of on-line games may lead to surging traffics exceeding the limited Internet communication capacity so that the connection to the games is unstable or the server fails. expanding the servers though this measure is very costly could solve this problem. To deal with this problem, the present study proposes the load distribution technology that connects in the form of local clustering the game servers divided by their contents used in each on-line game reduces the loads of specific servers using the load balancer, and enhances performance of sewer for their efficient operation. In this paper, a cluster system is proposed where each Game server in the system has different contents service and loads are distributed efficiently using the game server resource information such as CPU utilization. Game sewers having different contents are mutually connected and managed with a network file system to maintain information consistency required to support resource information updates, deletions, and additions. Simulation studies show that our method performs better than other traditional methods. In terms of response time, our method shows shorter latency than RR (Round Robin) and LC (Least Connection) by about 12%, 10% respectively.

  • PDF