• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.4-6
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• 2004

본 논문에서는 원격 캐쉬를 추가시킨 분산 메모리 구조 다중 프로세서 시스템의 성능 향상을 위해 새로운 원격 캐쉬 교체 정색을 제안한다. 일반적으로 다중 계층 내포성(MLI)을 치키는 다중 계층 메모리 구조에서 LRU 교체 정책을 사용할 경우, 상위 계층 캐쉬의 LRU 정보와 하위 계층 캐쉬의 LRU 정보가 서로 상이함으로 인해 하위 계층 캐쉬에서의 교체가 상위 계층에서 사용 중인 캐처 라인의 교체를 발생시켜 전체 시스템의 성능을 저하시키는 원인이 된다. 이러한 LRU 캐쉬 교체 정책의 단점을 보완하고자 각 노드 당 프로세서들의 원격 메모리 접근 지역성을 이용한 원격 캐쉬 교체정책의 사용으로 상위 캐쉬의 유용한 캐쉬 라인의 접근 실패율을 감소시킴으로써 다중 프로세서 시스템의 성능 향상을 꾀한다. 프로그램 기반 시뮬레이터를 통해 제안한 원격 캐쉬 교체 정책을 적용하였을 때, 기존의 LRU 교체 정책과 비교하여 무효화 수와 캐쉬 접근 실패가 평균 5%. 최대 10% 감소하였다.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.11_12
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• pp.541-556
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• 2005

The memory access latency of the system has been a primary factor of performance degradation in single-processor system and multi-processor system. The remote memory access latency takes a lot of overhead over the local memory access latency especially in the distributed shared-memory system. To resolve this problem, the multi-level cache architecture that contains a remote cache in the multi-processor system has been proposed. In this paper, we propose a new cache replacement policy that improves the performance of the multi-processor system with the remote cache. If the multi-level cache keeps the multi-level inclusion(MLI) property and uses the LRU(Least Recently Used) cache replacement policy, the LRU information of the higher-level cache(a processor cache) would be different with that of the lower-level cache(a remote cache). In this situation, the replacement of a remote cache line can induce the exchange of a processor cache line that is used by the processor. It is a main factor of performance degradation in a whole system. To alleviate this disadvantage of the LRU replacement polity, the new policy analyses tht processor's remote memory access pattern of each node and uses this information to reduce the number of invalidations of the useful cache line in the higher-level cache. The new replacement policy of the remote cache can improve the performance by $3.5\%$ in maximum and $2.5\%$ in average on SPLASH-2 benchmarks, compared to the general LRU cache replacement policy.

• Journal of KIISE:Computer Systems and Theory
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• v.29 no.7
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• pp.369-376
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• 2002

Although LRU is not adequate for database that has non-uniform reference pattern, it has been adopted in most database systems due to the absence of the proper alternative. We analyze database block reference pattern with the realistic database trace. Based on this analysis, we propose a new cache replacement policy. Trace analysis shows that extremely non-popular blocks take up about 70 % of the entire blocks. The influence of recency on blocks' re-reference likelihood is at first strong due to temporal locality, however, it rapidly decreases and eventually becomes negligible as stack distance increases. Based on this observation, RCB(Reference Characteristic Based) cache replacement policy, which we propose in this paper, classifies the entire blocks into four block groups by blocks' recency and re-reference likelihood, and operates different priority evaluation methods for each block group. RCB policy evicts non-popular blocks more quickly than the others and evaluates the priority of the block by frequency that has not been referenced for a long time. In a trace-driven simulation, RCB delivers a better performance than the existing polices(LRU, 2Q, LRU-K, LRFU). Especially compared to LRU. It reduces miss count by 5~l2.7%. Time complexity of RCB is O(1), which is the same with LRU and 2Q and superior to LRU-K(O(log$_2$N)) and LRFU(O(l) ~ O(log$_2$N)).

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.7_8
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• pp.426-433
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• 2003

Management policies of Web Proxy Cache, for the QoS of Web users, are mainly focused on the page replacement and the data consistency policy. But the two subjects have been studied independently to each other regardless of its possibility of cooperation. In this paper, we introduce the performance improvement obtained by adapting the characteristic of LMF used in data consistency policy to LRU, thus taking the better performance synergy as a result of complementary cooperation. Various policies for the management of Web Proxy Cache are in progress, this study can be a way of performance guide to increase cache hit ratio and reduce the transmission overhead of Web Server.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.85-87
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• 2003

무선환경과 모바일 기기의 발달되고, 모바일 단말기의 보편화로 인해 유선환경에서 제공되던 각종 멀티미디어 서비스가 무선환경으로 옮겨가고 있다. 기존의 웹캐쉬 정책은 그 성능을 이미 검증 받았다. 그러나 그런 정책들은 인기도와 네트워크의 상태만을 고려했기 때문에 무선환경에서는 적합하지 않다. 본 논문에서는 무선환경에서 모바일 호스트의 이동성과 미디어 스트림의 특성을 고려한 캐쉬 교체 정책인 M-LRU를 제안한다. 그리고, 시뮬레이션을 통하여 기존의 LRU정책과 제안한 M-LRU 정책을 비교하였으며, 8-9%의 성능향상이 되었다는 것을 보여준다.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.10
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• pp.556-568
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• 2003

This paper presents and analyzes the performance of a weighted-window based cache replacement policy for the efficient media caching in streaming media cache servers. The proposed policy makes, for each cached object, use of the reference count, reference time, amount of media delivered to clients and, in particular, the periodic patterns of user requests. Also, by giving weights to the recently referenced media contents, the replacement policy adequately and swiftly reflects the ever-changing characteristics of users preferences. The simulation studies show that the performance of the proposed policy has improved over the conventional policies such as LRU, LFU and SEG - in terms of hit ratio, byte hit ratio, delayed start and cache input.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10c
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• pp.47-49
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• 2000

버퍼 캐쉬의 관리를 위해 많은 교체 정책들과 선반입 정책들이 연구되어져 왔다. 그러나, GNU/Linux를 포함한 많은 실제의 운영체제들은 일반적으로 Least Recently Used (LRU) 교체 정책을 사용한다. 본 논문에서는 끊임없이 적극적인 선반입이 이루어지는 가운데 버퍼관리와 선반입을 효율적으로 통합하는 SA-W2R 정책을 제안한다. 이 정책은 구현이 단순하여 실제 시스템에서 채택하기 용이하다. 이 정책은 기본적으로 버퍼 교체를 위하여 LRU 정책을 사용한다. 그러나 정책의 모듈성으로 인해 어떤 교체 정책도 이 정책에 적용될 수 있다. SA-W2R 정책에서는 선반입을 위해 오버헤드가 적어 일반적으로 많이 사용되는 LRU-One Block Lookahead(OBL) 정책을 사용한다. GNU/Linux 커널 버전 2.2.14에 구현된 SA-W2R 정책은 응용 프로그램의 실행 시간에 있어 현재 버전의 GNU/Linux 보다 최고 23%의 성능 향상을 보였다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.409-411
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• 2002

본 논문에서는 스트리밍 미디어 캐슁 서버의 효율적인 캐슁 구조를 위하여 참조 횟수, 참조량, 참조 시간 둥의 정량적인 인자들과 사용자 요구 주기를 적용하여 최근 참조 경향에 높은 가중치를 부여함으로써 변화하는 콘텐츠 선호 경향에 빠르게 적응하는 가중치 기반의 캐쉬 교체 정책을 제안한다. 성능 분석은 시뮬레이션 환경 구축을 통해 실험하였으며 LRU, LFU와 SEG 캐쉬 정책과 비교 분석하여 향상된 결과를 보였다.

• 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.

• 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.