IBM / M and S / Amazon / STC LC / Oracle / Google / Facebook / MySQL / Yahoo! / Microsoft / /
Country
United States / /
Currency
USD / / /
Facility
Hive Odysseus/ Parallel-IR Hadoop Dryad ODYS Key-value store / Drexel University / College of Information Science / Korea Advanced Institute of Science / /
IndustryTerm
real-world scale search engine / presented advanced search / search condition types / large-scale search engine / query processing / user query processing / search engine mode / database systems / average processing time / specific site / search condition type / batch processing / search efficient / query processing performance / massively-parallel search engines / Typical commercial search engines / query processing times / keyword query processing / Web pages16 / parallel search engine / slave side query processing time / longer processing time / massively-parallel processing systems / search capability / massively-parallel search engine / on-line discussion board systems / large-scale commercial search engines / keyword search / search scope / query processing time / search using attribute embedding / efficiently handle keyword search / search engine library / search condition / search performance / large storage systems / proposed search engine architecture / low-level storage systems / nm k∈top-k sct∈search / Web search engine / shortest processing time / parallel processing frameworks / parallel processing systems / keyword search conditions / search engines / Web search engines / keyword search condition / massivelyparallel search engine / search queries / nh k∈top-k sct∈search / parallel query processing capabilities / search query / average query processing time / efficient parallel processing / disk device / sctsearch / search engine / search condition type condition / parallel search engines / cloud services / depending on the search condition type / /
MarketIndex
Estimated Sojourn Time The / set 60 / AND / /
OperatingSystem
Linux / /
Organization
Yale / Korea Advanced Institute of Science and Technology / Drexel University Philadelphia / IDF / Department of Computer Science / College of Information Science and Technology / Computer Systems Organization / /
relaxed consistency model / and flexible schema / Linux community Title+Content Title database AND Content index AND Writer / representative / performance model for the parallel search engine / /
Product
Apache / /
ProgrammingLanguage
C / Python / SQL / C++ / /
ProvinceOrState
New York / /
PublishedMedium
The CPU times / /
Technology
LAN / DB-IR algorithms / Linux / Search Engine / operating system / DBMS / RAID / discussion board / gigabit / parallel processing / /
ODYS: An Approach to Building a Massively-Parallel Search Engine Using a DB-IR Tightly-Integrated Parallel DBMS for Higher-Level Functionality Kyu-Young Whang† , Tae-Seob Yun† , Yeon-Mi Yeo† , Il-Yeol Song‡ , Hyu