D. Kotz, Expanding the potential for disk-directed I/O, in: Proceedings of the 1995.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....of the aggregate I O request. Based on this global knowledge, I O requests are combined and submitted in their proper order, making a much more efficient use of the I O subsystem. Two significant implementation techniques for collective I O are two phase I O [6, 19, 20] and disk directed I O [13, 16]. In disk directed I O, the collective I O request is sent to the I O processors which collectively determine and carry out the optimal I O strategy. In the two phase approach, the application processors collectively determine and carry out the optimized approach. In this paper, we deal only with ....

Kotz, D. Expanding the potential for disk-directed I/O. In Proceedings of the 1995 IEEE Symposium on Parallel and Distributed Processing. Pages 490 - 495, IEEE Computer Society Press.

....of the aggregate I O request. Based on this global knowledge, I O requests are combined and submitted in their proper order, making a much more efficient use of the I O subsystem. Two significant implementation techniques for collective I O are two phase I O [6, 19, 20] and disk directed I O [13, 16]. In disk directed I O, the collective I O request is sent to the I O processors which collectively determine and carry out the optimal I O strategy. In the two phase approach, the application processors collectively determine and carry out the optimized approach. In this paper, we deal only with ....

Kotz, D. Expanding the potential for disk-directed I/O. In Proceedings of the 1995 IEEE Symposium on Parallel and Distributed Processing. Pages 490 - 495, IEEE Computer Society Press.

....Application specific data distribution patterns, perhaps to support disk directed I O [21] need to execute on the data servers. If the distribution of data across clients or across disks is dependent on the value of the data, moving that function to the data server can halve network traffic [22]. Processors near the data servers can filter data in an application specific way, passing only the necessary data on to the clients, saving network bandwidth and client memory [10,22 24] Processors near the data servers can exchange blocks without passing the data through clients, e.g. to ....

.... across disks is dependent on the value of the data, moving that function to the data server can halve network traffic [22] Processors near the data servers can filter data in an application specific way, passing only the necessary data on to the clients, saving network bandwidth and client memory [10,22 24]. Processors near the data servers can exchange blocks without passing the data through clients, e.g. to rearrange blocks between disks during a copy or permutation operation. Format conversion, compression, and decompression are also possible. In short, there are many ways to optimize memory and ....

D. Kotz, Expanding the potential for disk-directed I/O, in: Proceedings of the 1995.

....the client node. I O nodes can implement application specific caching and prefetching policies to improve disk usage. Data dependent mapping functions can distribute file data in an application specific way, for example, in applications with a data dependent decomposition of unstructured data [6]. I O nodes can apply data reduction filters to save network bandwidth and compute node mem1 Core System Traditional Compute I O Nodes Network Galley Armada Core System Core System Application Application Application Figure 1. Our proposed evolution of parallel file system structure ....

D. Kotz. Expanding the potential for disk-directed I/O. In Proceedings of the 1995.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC