Name
Title | ||
|---|---|---|
Learning-Based Memory Allocation Optimization for Delay-Sensitive Big Data Processing. |
Abstract | ||
|---|---|---|
Optimal resource provisioning is essential for scalable big data analytics. However, it has been difficult to accurately forecast the resource requirements before the actual deployment of these applications as their resource requirements are heavily application and data dependent. This paper identifies the existence of effective memory resource requirements for most of the big data analytic applic... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPDS.2018.2800011 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Memory management,Sparks,Predictive models,Big Data,Resource management,Task analysis,Java | Resource management,Spark (mathematics),Computer science,Service-level agreement,Real-time computing,Provisioning,Memory management,Garbage collection,Big data,Scalability,Distributed computing | Journal |
Volume | Issue | ISSN |
29 | 6 | 1045-9219 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linjiun Tsai | 1 | 9 | 1.17 |
| Hubertus Franke | 2 | 1257 | 104.86 |
| Chung-sheng Li | 3 | 1372 | 222.33 |
| Wanjiun Liao | 4 | 1597 | 121.46 |