Predicting Intermediate Storage Performance for Workflow Applications

System provisioning, resource allocation, and system configuration decisions for work flow I/O-intensive applications are complex even for expert users. One factor making the problem space more complex is that users face decisions at multiple levels: allocating resources to individual sub-systems (e.g., the application layer, the storage layer) and configuring each of these optimally (e.g., replication level, chunk size, caching policies in case of storage) which have a large impact on overall application performance. This paper presents their progress on addressing the problem of supporting these provisioning, allocation and configuration decisions for work-flow applications.

Provided by: University of Bristol Topic: Storage Date Added: Jun 2013 Format: PDF

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