Presentation 2013-04-18
A Study of the Data Merging on the Distributed Processing Framework
Satoshi KONDOH, Masashi KANEKO, Takeshi FUKUMOTO,
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Abstract(in English) Recently, to acquire the high reliance and the high performance for the increase of the number of users, we often apply various services to the scale-out architecture by clusters. Generally, we have to change the code to apply the scale-out architecture to the developing software. In order to avoid the complicatedness with this change, we code by using some distributed processing framework in many cases. However, since conventional distributed processing frameworks were specialized in Single Key Operation or Parallel Processing, we couldn't develop the distributed database which can retrieve by not only Key but also some condition, on those frameworks. Therefore, in this research, we propose the new distributed processing framework which enables us to develop those databases, by extending HttpServlet which is popular in server field. In addition, we implemented this framework, and evaluated this with simple database program. Finally, we confirmed scalability in both case of Single Key Operation and Parallel Processing.
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Keyword(in English) Distributed Framework / Parallel Processing / Data merge
Paper # NS2013-4
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Committee NS
Conference Date 2013/4/11(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of the Data Merging on the Distributed Processing Framework
Sub Title (in English)
Keyword(1) Distributed Framework
Keyword(2) Parallel Processing
Keyword(3) Data merge
1st Author's Name Satoshi KONDOH
1st Author's Affiliation NTT Network Service Systems Laboratories, NTT Corporation()
2nd Author's Name Masashi KANEKO
2nd Author's Affiliation NTT Network Service Systems Laboratories, NTT Corporation
3rd Author's Name Takeshi FUKUMOTO
3rd Author's Affiliation NTT Network Service Systems Laboratories, NTT Corporation
Date 2013-04-18
Paper # NS2013-4
Volume (vol) vol.113
Number (no) 4
Page pp.pp.-
#Pages 4
Date of Issue