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2004
ACM
14 years 29 days ago
A Self-Organizing Storage Cluster for Parallel Data-Intensive Applications
Cluster-based storage systems are popular for data-intensive applications and it is desirable yet challenging to provide incremental expansion and high availability while achievin...
Hong Tang, Aziz Gulbeden, Jingyu Zhou, William Str...
HPDC
2003
IEEE
14 years 25 days ago
Flexible Information Discovery in Decentralized Distributed Systems
The ability to efficiently discover information using partial knowledge (for example keywords, attributes or ranges) is important in large, decentralized, resource sharing distri...
Cristina Schmidt, Manish Parashar
HIPC
2000
Springer
13 years 11 months ago
Meta-data Management System for High-Performance Large-Scale Scientific Data Access
Many scientific applications manipulate large amount of data and, therefore, are parallelized on high-performance computing systems to take advantage of their computational power a...
Wei-keng Liao, Xiaohui Shen, Alok N. Choudhary
CONEXT
2005
ACM
13 years 9 months ago
Location based placement of whole distributed systems
The high bandwidth and low latency of the modern internet has made possible the deployment of distributed computing platforms. The XenoServer platform provides a distributed compu...
David Spence, Jon Crowcroft, Steven Hand, Timothy ...
MOBIHOC
2006
ACM
14 years 7 months ago
Data storage placement in sensor networks
Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. This paper introduces stora...
Bo Sheng, Qun Li, Weizhen Mao