Name
Abstract | ||
|---|---|---|
System provisioning, resource allocation, and configuration decisions for I/O-intensive workflow applications are complex even for expert users. Users face choices at multiple levels: allocating resources to individual sub-systems (e.g., the application layer, the storage layer) as well as configuring each of these optimally (e.g., replication level, chunk size, caching policies in case of storage... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TPDS.2015.2497693 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Accuracy,Resource management,Predictive models,Benchmark testing,Data models,Space exploration,Complexity theory | Workflow technology,Application layer,Computer science,Distributed data store,Real-time computing,Provisioning,Resource allocation,Workflow application,Workflow,Workflow management system,Distributed computing | Journal |
Volume | Issue | ISSN |
27 | 9 | 1045-9219 |
Citations | PageRank | References |
2 | 0.36 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lauro Beltrao Costa | 1 | 194 | 12.23 |
| Samer Al-Kiswany | 2 | 294 | 22.52 |
| Matei Ripeanu | 3 | 2461 | 233.84 |
| Hao Yang | 4 | 12 | 1.54 |