Jobcast — Parallel and distributed processing framework Data processing on a cloud style KVS database
スポンサーリンク
概要
- 論文の詳細を見る
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, many KVS (as known as Key Value Store) systems exist which achieve high scalability for data spaces among a huge number of computers. The Jobcast architecture is an extension which has the capability to execute "job" on KVS data nodes so that it can also achieve scalability of processing space. In this paper, we introduce the Jobcast architecture and describe how Jobcast improves performance of some KVS applications especially by reducing data transmission cost. We evaluate and discuss performance improvement for some example applications as well.
- Information and Media Technologies 編集運営会議の論文
Information and Media Technologies 編集運営会議 | 論文
- Optimal Balanced Semi-Matchings for Weighted Bipartite Graphs
- A Quantitative Evaluation Methodology of Interconnection Networks
- Proposal and Performance Evaluation of Hash-based Authentication for P2P Network
- Resolving Direct and Indirect Anaphora for Japanese Definite Noun Phrases
- Ring Signatures: Universally Composable Definitions and Constructions