• International journal of advanced smart convergence
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• v.11 no.2
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• pp.1-6
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• 2022

With the emergence of the new era of the 4th industrial revolution, compute-bound workloads with large memory footprint like big data processing increase dramatically. Even in such compute-bound workloads, however, we observe bulky I/Os while loading big data from storage to memory. Although file I/O cache plays a role of accelerating the performance of storage I/O, we found out that the cache hit rate in such environments is not improved even though we increase the file I/O cache capacity because of some special I/O references generated by compute-bound workloads. To cope with this situation, we propose a new file I/O cache management policy that improves the cache hit rate for compute-bound workloads significantly. Trace-driven simulations by replaying file I/O reference logs of compute-bound workloads show that the proposed cache management policy improves the cache hit rate compared to the well-acknowledged CLOCK algorithm by a large margin.

• World Technopolis Review
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• v.3 no.3
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• pp.114-121
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• 2014

This paper presents two cases of Science and Technology Parks (STPs), from Malaysia and India, that are driven by business organisations in partnership with governments. The need to locate the STP near to a university or a research institute has been considered crucial to attract firms to the STP - but in this paper, we illustrate the efforts to develop a locally relevant STP through the cases of Pahang Bio Science in Malaysia and the ICICI Knowledge Park (now known as IKP) in Hyderabad India. These two developments are anchored by business organisations that are playing a pivotal role in their development. The government plays a supporting role in terms of policy and supplying certain complementary resources. In addition, we note that the government support also provides legitimacy for the business organisation developing the STP. In the case of the Malaysian STP, we note the approach is towards inclusive development by developing linkages to local communities, and in the case of the Indian STP, one can see the development of the STP in a dynamic way changing according to the needs of the sector. Especially interesting is the foresight by the nodal business organisations in developing the STPs.

• Journal of KIISE:Databases
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• v.29 no.2
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• pp.148-157
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• 2002

Caching in meta-search engines can improve the response time of users' request. We describe the cache scheme in our meta-search engine in terms of its architecture and operational flow. In particular, we propose a popularity-driven cache algorithm that utilizes popularities of queries to determine cached data to be purged. The popularity is a value that represents the normalized occurrence frequency of user queries. This paper presents how to collect popular queries and how to calculate query popularities. An empirical performance evaluation of the popularity-driven caching with the traditional schemes (i.e., least recently used (LRU) and least frequently used (LFU)) has been carried out on a collection of real data. In almost all cases, the proposed replacement policy outperforms LRU and LFU.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.57-67
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• 2016

As the Internet is becoming more socialized, Korean government, publishing a slogan, Government 3.0, has recently began to find a way to deliver its administration services to the public in more personalized manner. Policy directions to implement this advanced idea, are however still at large, primarily because of the vague nature of 'personalized'. This study, therefore, explores the possibility of getting public administrative services closer to personalization. To achieve this objective, this study attempts to develop a integrative framework of classifying the administration services to the public, based on two dimensions - the degree of citizen-oriented and the degree of government-driven, both of which are perhaps key determinants of personaliztion of services. For each quadrant of the framework, key features, characteristics, and conditions to be met are explained and followed by exemplary cases and policy implications.

• Journal of the Korean Solar Energy Society
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• v.30 no.2
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• pp.1-9
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• 2010

This study has intended to analyze citizen's recognition on Photovoltaic (PV) System Supply Policy in Korea. To reach this goal, this study has employed a survey method and statistical analysis. We have asked 140 citizens knowing the policy to some degree to answer questionnaires including various contents related to PV supply policy driven by central government of Korea. The contents of questionnaires consist of three parts: 1) supply policies, 2) PV system and 3) expected effect from the policy. To verify any differences among the characteristics of respondents, ANOVA (Analysis of Variance) was carried out in 95% confidence level. This study has found the following results: 1) most citizens were positive about the 'Photovoltaic System Supply Policies'; 2) most citizens anticipated the policy would be helpful to cope with the environmental problems and energy crisis and 3) there exit subtle differences between residents according to the respondent's characteristics such as sex, age, occupation, and housing type.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.475-487
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• 2020

The paper aims to facilitate a discussion around how big data technologies and data from citizens can be used to help public administration, society, and policy-making to improve community's lives. This paper discusses opportunities and challenges of big data strategies for government, society, and policy-making. It employs the presentation of numerous practical examples from different parts of the world, where public-service delivery has seen transformation and where initiatives have been taken forward that have revolutionized the way governments at different levels engage with the citizens, and how governments and civil society have adopted evidence-driven policy-making through innovative and efficient use of big data analytics. The examples include the governments of the United States, China, the United Kingdom, and India, and different levels of government agencies in the public services of fraud detection, financial market analysis, healthcare and public health, government oversight, education, crime fighting, environmental protection, energy exploration, agriculture, weather forecasting, and ecosystem management. The examples also include smart cities in Korea, China, Japan, India, Canada, Singapore, the United Kingdom, and the European Union. This paper makes some recommendations about how big data strategies transform the government and public services to become more citizen-centric, responsive, accountable and transparent.

• Journal of the Korea Society for Simulation
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• v.12 no.2
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• pp.35-44
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• 2003

The effectiveness of buffer cache replacement algorithms is critical to the performance of I/O systems. In this paper, we propose the degree of inter-reference gap (DIG) based block replacement scheme that retains merits of the least recently used (LRU) such as simple implementation and good cache hit ratio (CHR) for general patterns of references, and improves CHR further. In the proposed scheme, cache blocks with low DIGs are distinguished from blocks with high DIGs and the replacement block is selected among high DIGs blocks as done in the low inter-reference recency set (LIRS) scheme. Thus, by having the effect of the partitioning the cache memory dynamically based on DIGs, CHR is improved. Trace-driven simulation is employed to verified the superiority of the DIG based scheme and shows that the performance improves up to about 175% compared to the LRU scheme and 3% compared to the LIRS scheme for the same traces.

• Journal of Digital Convergence
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• v.5 no.1
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• pp.35-45
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• 2007

High tech companies' strategies are divided into four parts, Market Pull, Technology Push, Market-Driven, and Driving Markets. Market Pull strategy means to search market-needs, chances or new industries with technological chance. Technology Push means to create new market by new technology. While Market driven companies follow market changes, Driving Market companies make or change their markets. This study analyzes how companies recognize their market situations based on technology and which business inclination paths are selected for success. And we would like to know there are performance distinctions based on market differentiation strategies.

• Journal of Internet Computing and Services
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• v.13 no.1
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• pp.75-81
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• 2012

Previous RFID systems exclusively manage the tags and readers for each company in individual manner. Thus, RFID system manager should understand and design specifications such as tag events, data format, and etc, based on individual companies. But it is very difficult to know all statements. To resolve theses problems, there has been conceptual research about policy-based RFID service management model that is not restrained from standards of typical RFID systems, including EPCglobal standard, and ISO/IEC standard. However, previous proposed service management model only aimed event management without including device management. Therefore, in this paper, we propose extended device management policy model for giving shape to the proposed policy-based RFID service management model. If the proposing device management policy model is used for device management, we can integrate control management for heterogeneous middleware, diverse RFID devices, and applications for each company. Moreover, we show that the RFID device management policy is translated and processed as an example using the proposing policy model in real-time RFID system.

• Korean journal of communication and information
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• v.36
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• pp.231-253
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• 2006

Based on the development of IT(information technology), the explosive diffusion and growth of the new media and services in Korea has attracted keen international attention. The construction of IT infrastructure driven by the proactive social informatization policy of the government has also been spectacular. Korea has persistently pursued strong 'new media-informatization policy' with three main objectives in mind: 1)Industrial-economic value creation; 2)socio-cultural value creation; and 3)building of the knowledge society-knowledge state. But its consequence is rather paradoxical. While its performance is excellent in terms of quantity growth of industry and technology, quality development of society, culture and knowledge creation is lagging far behind. This paradoxical outcome originates, not from any simple policy error, but from a structural problem inherent in new media-informatization policy in Korea which has long been captured by developmentalism. In order for Korea to harvest the reward of strong new media-informatization infrastructure, it needs to institute a policy structure based on a knowledge IT strategy such as research and development of core and patent technologies, design and production of quality contents, networking knowledge bases of society, etc.