首页    期刊浏览 2024年11月15日 星期五
登录注册

文章基本信息

  • 标题:D4M, a Self-Adapting Decentralized Derived Data Collection and Monitoring Framework
  • 本地全文:下载
  • 作者:Karsten Saller ; Dominik Stingl ; Andy Schürr
  • 期刊名称:Electronic Communications of the EASST
  • 电子版ISSN:1863-2122
  • 出版年度:2011
  • 卷号:37
  • 语种:English
  • 出版社:European Association of Software Science and Technology (EASST)
  • 摘要:Peer-to-peer systems are evolving as a viable distributed resource sharing paradigm on the Internet. The trend is growing towards the usage of such decentralized systems because they are more scalable and resource efficient than centralized systems. Current decentralized systems, like peer-to-peer networks, lack functionality to adapt the transmission of certain information artifacts, according to their access patterns. Additionally, there is still no approach for an efficient dependency management between distributed and dependent information in decentralized networks. This paper presents our ideas of D4M, a framework for the management of distributed derived data in decentralized systems, and how such data can be handled in an efficient manner.
国家哲学社会科学文献中心版权所有