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Jobcast - Parallel and Distributed Processing Framework: Data Processing on a Cloud Style KVS Database

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2 Author(s)
Ikuo Nakagawa ; Adv. Technol. R&D Inst., Intec, Inc., Tokyo, Japan ; Kenichi Nagami

In this paper, we propose a new architecture for parallel and distributed processing framework, gJobcasth, 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 gconsistent hashh 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.

Published in:

Applications and the Internet (SAINT), 2012 IEEE/IPSJ 12th International Symposium on

Date of Conference:

16-20 July 2012