Name
Abstract | ||
|---|---|---|
With the advent of cloud computing, thousands of machines are connected and managed collectively. This era is confronted with a new challenge: performance variability, primarily caused by large-scale management issues such as hardware failures, software bugs, and configuration mistakes. In our previous work we highlighted one overlooked cause: limpware - hardware whose performance degrades significantly compared to its specification. We showed that limpware can cause severe impact in current scale-out systems. In this report, we quantify how often these scenarios happen in Hadoop Distributed File System. |
Year | Venue | Field |
|---|---|---|
2013 | CoRR | Distributed File System,Computer science,Software bug,Probabilistic estimation,Real-time computing,Operating system,Distributed computing,Cloud computing |
DocType | Volume | Citations |
Journal | abs/1311.3322 | 1 |
PageRank | References | Authors |
0.36 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thanh Do | 1 | 156 | 7.11 |
| Haryadi S. Gunawi | 2 | 554 | 36.58 |