Creation of multi-copies accelerates data transmission and reduces network traffic, but it causes overhead storage and additional network traffic. A variety of parallel transmission algorithms based on GridFTP and multi-copy can be used to accelerate data transmission further, but they can not adapt to a wide range of network, and they can not be used to solve the problems of storage space and network traffic waste. GridTorrent combined with BitTorrent and GridFTP has compatibility with grid and has flexible scalability, but the speed is very slow when there are few peers, to solve this problem multicopy is needed also. To achieve multiple optimization objectives of storage space saving, suitable for two kinds of application modes(i.e. para...
Grid is a highly distributed heterogeneous environment which interoperates towards completing a comm...
Data-centric applications are still a challenging issue for Large Scale Distributed Computing System...
It is important to improve data reliability and data access efficiency for data-intensive applicatio...
Parallel transmission algorithms CLBA and DAS greatly improved the speed of transferring data files,...
As Grid systems expand and become more and more popular, there is a growing need for efficient, scal...
Large amount of data that is often stored in many thousands of files is created as part of today’s g...
Parallel file replication where a large file needs to be simultaneously replicated to multiple sites...
Large amount of data that is often stored in many thousands of files is created as part of today’s g...
Data-sharing scientific communities use storage systems as distributed data stores by replicating co...
Data-sharing scientific communities use storage systems as distributed data stores by replicating co...
In this paper, we study the downloading mechanism of BitTorrent (or BT), a P2P based popular and con...
Grid is a highly distributed heterogeneous environment which interoperates towards completing a comm...
Data-intensive, high-performance computing applications often require the efficient transfer of tera...
Data-centric applications are still a challenging issue for Large Scale Distributed Computing System...
Large distributed systems such as Computational/Data Grids require large amounts of data to be co-lo...
Grid is a highly distributed heterogeneous environment which interoperates towards completing a comm...
Data-centric applications are still a challenging issue for Large Scale Distributed Computing System...
It is important to improve data reliability and data access efficiency for data-intensive applicatio...
Parallel transmission algorithms CLBA and DAS greatly improved the speed of transferring data files,...
As Grid systems expand and become more and more popular, there is a growing need for efficient, scal...
Large amount of data that is often stored in many thousands of files is created as part of today’s g...
Parallel file replication where a large file needs to be simultaneously replicated to multiple sites...
Large amount of data that is often stored in many thousands of files is created as part of today’s g...
Data-sharing scientific communities use storage systems as distributed data stores by replicating co...
Data-sharing scientific communities use storage systems as distributed data stores by replicating co...
In this paper, we study the downloading mechanism of BitTorrent (or BT), a P2P based popular and con...
Grid is a highly distributed heterogeneous environment which interoperates towards completing a comm...
Data-intensive, high-performance computing applications often require the efficient transfer of tera...
Data-centric applications are still a challenging issue for Large Scale Distributed Computing System...
Large distributed systems such as Computational/Data Grids require large amounts of data to be co-lo...
Grid is a highly distributed heterogeneous environment which interoperates towards completing a comm...
Data-centric applications are still a challenging issue for Large Scale Distributed Computing System...
It is important to improve data reliability and data access efficiency for data-intensive applicatio...