Presentation 2011-02-28
Jobcast - Parallel and distributed processing framework : Data processing on a cloud style KVS database
Ikuo Nakagawa,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a new architecture for parallel and distributed processing framework, "Jobcast", which enables data processing on a cloud style KVS database. Nowadays, lots of KVS (as known as Key Value Store) systems exist which achieve high scalability for data spaces among a huge number of computers. Some of KVS implementations use "consistent hash" algorithm to identify the backend data node to store a pair of key and value. Jobcast also uses consistent hash algorithm for a distribution strategy and has a capability to store key and value pairs into huge number of computers as a KVS system. Furthermore, Jobcast also distributes "jobs" into data nodes for parallel and distributed processing. In this paper, we introduce a basic architecture of Jobcast and evaluate a data processing performance for a typical example.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) component / parallel and distributed processing / cloud database / NoSQL / KVS
Paper # SITE2010-50,IA2010-86
Date of Issue

Conference Information
Committee IA
Conference Date 2011/2/21(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Internet Architecture(IA)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Jobcast - Parallel and distributed processing framework : Data processing on a cloud style KVS database
Sub Title (in English)
Keyword(1) component
Keyword(2) parallel and distributed processing
Keyword(3) cloud database
Keyword(4) NoSQL
Keyword(5) KVS
1st Author's Name Ikuo Nakagawa
1st Author's Affiliation Cloud business planning dept. Intec Systems Institute, Inc.()
Date 2011-02-28
Paper # SITE2010-50,IA2010-86
Volume (vol) vol.110
Number (no) 430
Page pp.pp.-
#Pages 6
Date of Issue