• The KIPS Transactions:PartA
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• v.13A no.6 s.103
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• pp.511-516
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• 2006

The data grid computing provides geographically distributed storage resources to solve computational problems with large-scale data. Unlike cache replacement policies in virtual memory or web-caching replacement, an optimal file replacement policy for data grids is the one of the important problems by the fact that file size is very large. The traditional file replacement policies such as LRU(Least Recently Used) LCB-K(Least Cost Beneficial based on K), EBR(Economic-based cache replacement), LVCT(Least Value-based on Caching Time) have the problem that they have to predict requests or need additional resources to file replacement. To solve theses problems, this paper propose SBR-k(Sized-based replacement-k) that replaces files based on file size. The results of the simulation show that the proposed policy performs better than traditional policies.

• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.57-64
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• 2008

The data grid computing provides geographically distributed storage resources to solve computational problems with large-scale data. Unlike cache replacement policies in virtual memory or web-caching replacement, an optimal file replacement policy for data grids is the one of the important problems by the fact that file size is very large. The traditional file replacement policies such as LRU(Least Recently Used), LCB-K(Least Cost Beneficial based on K), EBR(Economic-based cache replacement), LVCT(Least Value-based on Caching Time) have the problem that they have to predict requests or need additional resources to file replacement. To solve theses problems, this paper propose SBR-k(Sized-based replacement-k) that replaces files based on file size. The proposed policy considers file size to reduce the number of files corresponding to a requested file rather than forecasting the uncertain future for replacement. The results of the simulation show that hit ratio was similar when the cache size was small, but the proposed policy was superior to traditional policies when the cache size was large.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.5-6
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• 2017

본 논문은 데이터를 보다 적은 소비전력으로 보관하기 위한 에너지 효율적인 파일 분산배치 정책을 제안한다. 이 정책은 개별 하드디스크 용량을 빠르게 가득 채우도록 분산 스토리지의 쓰기 동작을 처리하고, 가득 찬 하드디스크의 모터를 정지시켜 에너지 효율을 향상시킨다. Ceph 분산 스토리지를 수정하여 제안하는 파일 분산배치 정책을 적용하였으며 시뮬레이션을 통하여 제안하는 파일 분산배치 정책이 에너지 효율적임을 확인하였다.

• The KIPS Transactions:PartC
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• v.10C no.4
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• pp.387-396
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• 2003

Many studies have been done on secure kernel and encryption filesystem for system security. Secure kernel can protect user or system data from unauthorized and/or illegal accesses by applying various access control policy like ACL, MAC, RBAC and so on, but cannot protect user or system data from stealing backup media or disk itself. In addition to access control policy, there are many studies on encryption filesystem that encrypt file data within system level. However few studies have been done on combining access control policy and encryption filesystem. In this paper we proposed a new encryption filesystem that provides a transparency to the user by integrating encryption service into virtual filesystem layer within secure kernel that has various access control policies. Proposed encryption filesystem can provide a simple encryption key management architecture by using encryption keys based on classes of MAC policy and overcome a limit of physical data security of access control policy for stealing.

• The KIPS Transactions:PartA
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• v.15A no.1
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• pp.35-44
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• 2008

It is important to manage access control for secure ubiquitous applications. In this paper, we present an access-control system for executing policy file which includes access control rules. We implemented Context-aware Access Control Manager(CACM) based on Java Context-Awareness Framework(JCAF) which provides infrastructure and API for creating context-aware applications. CACM controls accesses to method call based on the access control rules in the policy file. We also implemented a support tool to help programmers modify incorrect access control rules using static analysis information, and a simulator for simulating ubiquitous applications. We describe simulation results for several ubiquitous applications.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.403-405
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• 2006

Java 2에서는 자원의 접근관리를 위하여 정책파일에 근거한 스택 인스펙션(stack Inspection)기법을 제공하고 있다. 본 논문에서는 스택 인스펙션에 자연스럽게 접근하여 불필요한 권한검사 집합을 구하기 위해 역방향 흐름분석(backward flow analysis) 기법을 사용한 권한검사 시스템을 구현하였다. 이를 통해 정책파일의 내용에 근거하여 각 메소드에서 항상 성공하거나 실패하는 권한검사를 결정하여 보여준다. 또한 권한검사에 대해서 스택 인스펙션하는 과정을 추적해볼 수 있다. 본 시스템을 이용하는 사용자는 불필요한 권한검사를 제거하여 스택 인스펙션을 최적화하거나, 자신의 프로그램에 적절한 보안정책을 세우기 위해 정책파일을 수정하는데 이 분석결과를 활용할 수 있다.

• The Transactions of the Korea Information Processing Society
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• v.4 no.11
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• pp.2849-2860
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• 1997

In this paper, we present efficient cache replacement policies for the software RAID file system. The performance of this policies is compared to two other policies previously proposed for conventional file systems and adapted for the software RAID file system. As in hardware RAID systems, we found small-writes to be the performance bottleneck in software RAID file systems. To tackle this small-write problem, we propose cache replacement policies. Using trace driven simulations we show that the proposed policies improve performance in the aspect of the average response time and the average system busy time.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.289-291
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• 2003

최근 들어 임베디드 시스템이 많은 발전을 하고 있고, 공간적인 장점으로 인해서 임베디드 시스템에 플래시 메모리가 많이 사용되고 있다. 그러나 플래시 메모리는 일반 자기 저장 매체와는 다른 특성을 가지고 있어서 플래시 메모리에 알맞은 효율적인 파일 관리 시스템을 필요로 한다. 현재 임베디드 리눅스에서는 JFFS2파일 시스템을 많이 사용하고 있는데, 이 논문에서는 JFFS2의 wear-leveling 알고리즘을 개선한 빈도수를 이용한 지움정책을 제안하고, 시뮬레이션을 통해서 빈도수를 이용한 지움정책의 wear-leveling이 효과적인 성능을 나타냄을 보였다.

• Journal of Internet Computing and Services
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• v.5 no.6
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• pp.103-110
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• 2004

In this paper we study and analyze the influence of caching strategies on the performance of WWW servers, We propose a new strategy called file type based caching that aims to obtain a well-balanced mixture between large and small files in the cache, and moreover, it provides good performance for both small and large file as expected, By using the type based caching good results are obtained for both the hit rate and the byte hit rate.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.6
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• pp.422-426
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• 2007

Personal mobile devices equipped with non-volatile storage such as MP3 player, PMP, cellular phone, and USB memory require safety for the stored data on the devices. One of the safety requirements is secure deletion, which is removing stored data completely so that the data can not be restored illegally. In this paper, we study how to design the secure deletion on Flash memory, commonly used as storage media for mobile devices. We consider two possible secure deletion policy, named zero-overwrite and garbage-collection respectively, and analyze how each policy affects the performance of Flash memory file systems. Then, we propose an adaptive file deletion scheme that exploits the merits of the two possible policies. Specifically, the proposed scheme applies the zero-overwrite policy for small files, whereas it employs the garbage-collection policy for large files. Real implementation experiments show that the scheme is not only secure but also efficient.