Title :
Pipeline and batch sharing in grid workloads
Author :
Thain, Douglas ; Bent, John ; Arpaci-Dusseau, Andrea C. ; Arpaci-Dusseau, Remzi H. ; Livny, Miron
Author_Institution :
Dept. of Comput. Sci., Wisconsin Univ., Madison, WI, USA
Abstract :
We present a study of six batch-pipeline scientific workloads that are candidates for execution on computational grids. Whereas other studies focus on the behavior of single applications, this study characterizes workloads composed of pipelines of sequential processes that use file storage for communication and also share measurements of the memory, CPU, and I/O requirements of individual components as well as analyses of I/O sharing within complete batches. We conclude with a discussion of the ramifications of these workloads for end-to-end scalability and overall system design.
Keywords :
batch processing (computers); input-output programs; performance evaluation; pipeline processing; processor scheduling; resource allocation; storage area networks; CPU share measurements; I/O share measurements; batch sharing; batch-pipeline workload; communication file storage; computational grids; grid workloads; memory share measurements; pipeline sharing; scientific workload; Application software; Biology computing; Grid computing; Physics computing; Pipelines; Production; Random access memory; Scalability; Telecommunication traffic; Throughput;
Conference_Titel :
High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on
Print_ISBN :
0-7695-1965-2
DOI :
10.1109/HPDC.2003.1210025
