Persistent cache in Cooperative Search Engine

Sato, Nobuya; Uehara, Masato; Sakai, Yoshifumi; Mori, Hideki

doi:10.1109/icdcsw.2002.1030767

Cited by 19 publications

(19 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Persistent Cache (PC) [7]: There must be at least one CS in the CSE to improve the response time of retrieval. However, the cache soon becomes invalid because the update interval is very short in the CSE.…”

Section: Fig 1 the Overview Of Cooperative Search Enginementioning

confidence: 99%

“…• Look Ahead Cache in "Next 10" Search [4]: To shorten the delay in the search process, the CS prepares the next result for the "Next 10" search. That is, the search result is divided into page units, and each page unit is cached in advance by a background process without increasing the response time.…”

Section: Fig 1 the Overview Of Cooperative Search Enginementioning

confidence: 99%

“…• Score based Site Selection (SbSS) [5]: In a "Next 10" search, the score of the next ranked document in each site is gathered in advance, and requests to sites with low-ranked documents are suppressed. As a result of this suppression, network traffic does not increase unnecessarily.…”

Section: Fig 1 the Overview Of Cooperative Search Enginementioning

confidence: 99%

See 2 more Smart Citations

Cloud Search Engine for IaaS

Ichikawa

Uehara

2013

Transactions on Computational Collective Intelligence X

View full text Add to dashboard Cite

Abstract. Cloud based online storage enables the storage of massive data. In these systems, a full text search engine is very important for finding documents. In this paper, we propose a distributed search engine suitable for searching a cloud. In our previous work, we developed a distributed search engine, the cooperative search engine (CSE). We now extend the CSE to search clouds. In a cloud, elasticity and reliability are important. We realize these by employing consistent hashing for distributed index files in the cloud. In this paper, we describe the improved CSE architecture and its implementation for a cloud search.

show abstract

Section: Fig 1 the Overview Of Cooperative Search Enginementioning

confidence: 99%

Section: Fig 1 the Overview Of Cooperative Search Enginementioning

confidence: 99%

See 1 more Smart Citation

Cloud Search Engine for IaaS

Ichikawa

Uehara

2013

Transactions on Computational Collective Intelligence X

View full text Add to dashboard Cite

show abstract

“…So, to globally share cached retrieval results among CSs, we proposed Global Shared Cache (GSC). Persistent Cache (PC) [14]: There is at least one CS in CSE. However, the cache becomes invalid soon because the update interval is very short in CSE.…”

Section: Score Based Site Selection (Sbss)[12]mentioning

confidence: 99%

“…Global Shared Cache (GSC) [13]: A LMSE sends a query to the nearest CS. Many CS may send same requests to LMSEs.…”

Section: Score Based Site Selection (Sbss)[12]mentioning

confidence: 99%

A real-time retrieval system using change aware distributed file system

Uehara

Sato

The Fourth International Conference onComputer and Information Technology, 2004. CIT '04.

Self Cite

View full text Add to dashboard Cite

Intranet information retrieval is very important to discover the useful knowledge. In this process, search engine is useful. However, conventional search engines, which are based on centralized architecture, are not suited for the intranet information retrieval because intranet information is frequently updated. Centralized search engines take a long time to collect web pages by robots. So, we have developed a distributed search engine, Cooperative Search Engine (CSE), to retrieve fresh information. In CSE, a local search engine located in each Web server makes an index of local pages. And, a Meta search server integrates these local search engines to realize a global search engine. CSE takes a few minutes to update index because each local search engine scans all files in its own disk. In this paper, we propose the notification mechanism using change aware distributed file system. As this result, we realize the real-time information retrieval.

show abstract