DuDE: A Distributed Computing System using a Decentralized P2P Environment

被引：0

作者：

Skodzik, Jan ^{[1
]}

Danielis, Peter ^{[1
]}

Altmann, Vlado ^{[1
]}

Rohrbeck, Jens ^{[1
]}

Timmermann, Dirk ^{[1
]}

Bahls, Thomas ^{[2
]}

Duchow, Daniel ^{[2
]}

机构：

[1] Univ Rostock, Inst Appl Microelect & Comp Engn, D-18051 Rostock, Germany

[2] Nokia Siemens Networks GmbH & Co, KG Broadband Access Div, D-17489 Greifswald, Germany

来源：

2011 IEEE 36TH CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN) | 2011年

关键词：

P2P; DHT; Kademlia; Distributed Computing; Distributed Storing;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The P2P-based system for the distributed computing of statistics called DuDE is presented. High scalability and failure resilience features of P2P are exploited to achieve a high-performance distributed system, which avoids the bottlenecks of a centralized computing system. To ensure high data availability, a sophisticated algorithm for distributed data storage is integrated. Furthermore, an algorithm for global peer discovery is presented, which allows for finding all data assigned to peers without the need for a central instance. For the realization of DuDE, common working stages of distributed computing are extended to enable a highly scalable computing system based on P2P technology. Generated results from a test system show a nearly perfect linear speedup for distributed computing as well as high processor and memory relief compared to a centralized solution.

引用

页码：1048 / 1055

页数：8

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