• The KIPS Transactions:PartA
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• v.14A no.4
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• pp.235-244
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• 2007

Caching and prefetching policies have been used in most of computer systems to compensate speed differences between primary memory and secondary storage devices. In this paper, we design and implement a Flash Cache Core Module(FCCM) on the YAFFS which operates on a file system layer for NAND flash memory. The FCCM is independent of the underlying kernel in order to support its stability and compatibility. Also, we implement the Dirty-Last memory replacement technique considering the characteristics of flash memory, and the waiting queue for pages to be prefetched according to page hit. The FCCM reduced the number of I/Os and the amount of prefetched pages by maximum 55%(20% on average) and maximum 55%(24% on average), respectively, comparing with caching and prefetching policies of Linux.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.5
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• pp.817-826
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• 2024

Modern networks and the internet now handle an unprecedented volume of data packets, making efficient traffic management increasingly challenging. To address this issue, next-generation network architectures like Content-Centric Networks (CCN) have emerged. CCN focuses on content-centric data processing to minimize unnecessary traffic. Traditional internet architectures primarily use an end-to-end approach, where multiple users requesting content simultaneously can lead to a surge in traffic. In contrast, CCN optimizes traffic by utilizing in-network cache functions, reducing the time required to serve content to users. Therefore, in CCN, it is crucial to determine which caching policy to apply for effective content management. Existing research has proposed various caching methods based on factors like Hit count and producer popularity. However, these methods often fail to consider content type, resulting in situations where less popular videos are removed in favor of images, potentially increasing network traffic. This study proposes a caching strategy that distinguishes between content type and producer popularity to further reduce network traffic and response time.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.4
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• pp.117-123
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• 2013

In the recent cloud storage environment, the amount of SSD (Solid-State Drive) replacing with the traditional hard disk drive is increasing. Management of SSD for its space efficiency has become important since SSD provides fast IO performance due to no mechanical movement whereas it has wearable characteristics and does not provide in place update. In order to manage space efficiency of SSD, data de-duplication technique is frequently used. However, this technique occurs much overhead because it consists of data chunking, hasing and hash matching operations. In this paper, we propose new data de-duplication method using PRAM cache. The proposed method uses hierarchical hash tables and LRU(Least Recently Used) for data replacement in PRAM. First hash table in DRAM is used to store hash values of data cached in the PRAM and second hash table in PRAM is used to store hash values of data in SSD storage. The method also enhance data reliability against power failure by maintaining backup of first hash table into PRAM. Experimental results show that average writing frequency and operation time of the proposed method are 44.2% and 38.8% less than those of existing data de-depulication method, respectively, when three workloads are used.

• Journal of KIISE:Computer Systems and Theory
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• v.36 no.1
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• pp.26-32
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• 2009

The multi-level storage architecture has been widely adopted in servers and data centers. However, while prefetching has been shown as a crucial technique to exploit sequentiality in accesses common for such systems and hide the increasing relative cost of disk I/O, existing multi-level storage studies have focused mostly on cache replacement strategies. In this paper, we show that prefetching algorithms designed for single-level systems may have their limitations magnified when applied to multi-level systems. Overly conservative prefetching will not be able to effectively use the lower-level cache space, while overly aggressive prefetching will be compounded across levels and generate large amounts of wasted prefetch. We design and implement a hierarchy-aware lower-level prefetching strategy called PMS(Prefetching strategy for Multi-level Storage system) that applicable to any upper level prefetching algorithms. PMS does not require any application hints, a priori knowledge from the application or modification to the va interface. Instead, it monitors the upper-level access patterns as well as the lower-level cache status, and dynamically adjusts the aggressiveness of the lower-level prefetching activities. We evaluated the PMS through extensive simulation studies using a verified multi-level storage simulator, an accurate disk simulator, and access traces with different access patterns. Our results indicate that PMS dynamically controls aggressiveness of lower-level prefetching in reaction to multiple system and workload parameters, improving the overall system performance in all 32 test cases. Working with four well-known existing prefetching algorithms adopted in real systems, PMS obtains an improvement of up to 35% for the average request response time, with an average improvement of 16.56% over all cases.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.1
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• pp.1-10
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• 2010

Recently heterogeneous storage system such as hybrid hard disk drive (H-HDD) combining flash memory and magnetic disk is launched, according as the read performance of NAND flash memory is enhanced as similar to that of hard disk drive (HDD) and the power consumption of NAND flash memory is reduced less than that of HDD. However, the read and write operations of NAND flash memory are slower than those of rotational disk. Besides, serious overheads are incurred on CPU and main memory in the case that intensive write requests to flash memory are repeatedly occurred. In this paper, we propose the Least Frequently Used-Hot scheme that replaces the data blocks whose reference frequency of read operation is low and update frequency of write operation is high, and the data flushing scheme that rearranges the data blocks into the multi-zone of the rotation disk. Experimental results show that the execution time of the proposed method is 38% faster than those of conventional LRU and LFU block replacement schemes in I/O performance aspect and the proposed method increases the life span of Non-Volatile Cache 40% higher than those of conventional LRU, LFU, FIFO block replacement schemes.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.5
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• pp.1229-1240
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• 1998

In this paper, we provide a design of DAVIC VOD service system with proxy servers which perform caching of video streams. Proxy servers are placed between a service provider system and service consumer systems. They provide video services to consumers on behalf of the service provider, therefore they reduce the loads of service providers and network. The operation of a proxy server depends on whether the requested program is in its storage. If this is the case, the prosy servere takes all the controls, but if the proxy does not have the program, it forwards the service request the proxy server takes all the controls, but if the prosy does not have the program, it forwards the service request to a service provider. While the service provider system provides the program to the consumer, the proxy copies and caches the program. The proxy server executes cache replacement, if necessary. We show by simultion that the LFU is the most efficiency caching replacement algorithm among the typical algorithms such as LRU, LFU, FIFO.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.13-21
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• 2012

Mobile data caching is usually used as an effective way to improve the speed of local transaction processing and reduce server load. In mobile database environment, due to its characters - low bandwidth, excessive latency and intermittent network, caching is especially crucial. A lot of mobile data caching strategies have been proposed to handle these problems over the last few years. However, with smart phone widely application these approaches cannot support vast data requirements efficiently. In this paper, to make full use of cache data, lower wireless transmission quantity and raise transaction success rate, we design a new mobile data caching synchronization strategy based on in-demand and replacement priority. We experimentally verify that our techniques significantly reduce quantity of wireless transmission and improve transaction success rate, especially when mobile client request a large amount of data.

• Convergence Security Journal
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• v.6 no.4
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• pp.91-99
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• 2006

Generally, a study of web caching is conducted on a performance improvement with structural approaches and a new hybrid method using existing methods, and studies on caching method itself. And existing analysis of reference-characteristic are conducted on a history analysis and a preference of users, a view point of data mining by log analysis. In this study, we analyze the reference-characteristic of web object on a view point of a characteristic of probability-distribution and a mean value of lifetime of a web-object. And using this result, we propose the new method for a performance improvement of a web-caching.

• Journal of Digital Contents Society
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• v.9 no.4
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• pp.653-659
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• 2008

With the recent explosion in using of the Internet, the problem of caching web objects has gained considerable importance. Caching on the Internet differs from traditional caching in several ways. Especially, the conventional caching algorithms are not well suited for the Internet caching. The poor performance is mainly due to its unfair treatment of small objects since all the objects are treated the same even though they differ in size. In this paper, I give an overview of caching policies designed for web objects, and provide a new algorithm of my own. I also have performed trace-driven simulations about variable-size replacement algorithms, and derived a new algorithm to improve byte hit-ratio by classifying objects based on their sizes.

• Annual Conference of KIPS
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• 2005.05a
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• pp.59-62
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• 2005

웹 상에서 XML 로 기술된 데이터가 증가하고, 이를 이용하여 의미 있는 데이터를 검색하는 것의 중요성이 커지고 있다. 웹 상에서 더 좋은 검색 성능을 보이기 위해 XML 질의 결과를 캐쉬하는 방법에 관한 연구들과 캐쉬의 저장 공간과 다양한 질의를 캐쉬에 저장하는 것에 한계가 있기 때문에 캐쉬 교체 기법에 관한 연구들이 있었다. 기존의 XML 캐쉬 교체 정책에는 질의 결과를 교체 단위로 하는 방법과 질의 결과 내의 각 경로들을 교체 단위로 하는 방법이 있는데, 첫번째 방법은 효율이 상대적으로 낮고 두번째 방법은 높은 효율에 비해 교체 연산을 수행하는 부담(overhead)이 크다는 단점이 있었다. 본 논문에서는 위 두 방법의 단점을 해결하기 위해 2 단계로 교체 희생자를 선택하는 방법을 제시한다. 질의 결과들 중에서 교체 희생자를 찾고, 그 희생자 내의 모든 경로들 중에서 다시 교체 희생자를 찾는다. 이는 각 질의 내의 경로가 교체 희생자가 되어 캐쉬 효율을 향상 시키고, 질의 결과에 대해 먼저 교체 대상을 찾으므로 교체 희생자를 찾기 위한 연산을 수행하는 부담을 줄인다. 또한 캐쉬 적중률, 최근 접근 시간, 인출 지연 시간, 객체 크기를 고려하여 교체 희생자를 선택하는 교체 함수를 제시한다. 가상의 시맨틱 데이터에 대한 캐쉬 교체 시스템을 구현하여 본 논문에서 제시한 교체 기법과 교체 함수를 평가한 결과를 기술한다.