Name
Abstract | ||
|---|---|---|
Serverless computing offers the potential to program the cloud in an autoscaling, pay-as-you go manner. In this paper we address critical gaps in first-generation serverless computing, which place its autoscaling potential at odds with dominant trends in modern computing: notably data-centric and distributed computing, but also open source and custom hardware. Put together, these gaps make current serverless offerings a bad fit for cloud innovation and particularly bad for data systems innovation. In addition to pinpointing some of the main shortfalls of current serverless architectures, we raise a set of challenges we believe must be met to unlock the radical potential that the cloud---with its exabytes of storage and millions of cores---should offer to innovative developers. |
Year | Venue | DocType |
|---|---|---|
2019 | CIDR | Conference |
Volume | Citations | PageRank |
abs/1812.03651 | 0 | 0.34 |
References | Authors | |
8 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph M. Hellerstein | 1 | 14093 | 1651.14 |
| Jose Faleiro | 2 | 19 | 3.76 |
| Joseph E. Gonzalez | 3 | 2219 | 102.68 |
| Johann Schleier-Smith | 4 | 20 | 3.54 |
| Vikram Sreekanti | 5 | 24 | 3.66 |
| Alexey Tumanov | 6 | 554 | 24.61 |
| Chenggang Wu | 7 | 44 | 6.57 |