104 search results - page 8 / 21 » A Self-Organizing Storage Cluster for Parallel Data-Intensiv... |
CLUSTER
2004
IEEE
13 years 11 months ago
2004
IEEE
A key challenge in supporting data-driven scientific applications is the storage and management of input and output data in a distributed environment. In this paper, we describe a...
GPC
2007
Springer
14 years 1 months ago
2007
Springer
Grid systems are well-known for its high performance computing or large data storage with inexpensive devices. They can be categorized into two major types: computational grid and ...
HPDC
2007
IEEE
14 years 1 months ago
2007
IEEE
Adapting to the network is the key to achieving high performance for communication-intensive applications, including scientific computing, data intensive computing, and multicast...
CLUSTER
2005
IEEE
14 years 1 months ago
2005
IEEE
In the area of Grid computing, there is a growing need to process large amounts of data. To support this trend, we need to develop efficient parallel storage systems that can prov...
CLUSTER
2006
IEEE
14 years 1 months ago
2006
IEEE
Distributed applications, especially the ones being I/O intensive, often access the storage subsystem in a non-sequential way (stride requests). Since such behaviors lower the ove...