Name
Abstract | ||
|---|---|---|
Internet of Things (IoT) applications have seen a phenomenal growth with estimates of growing to a 25 Billion dollar industry by 2020. With the scale of IoT applications growing and stricter requirements on latency, edge computing has piqued the interest for such environments. However, the industry is still in its infancy with no proper support for applications running across the entire edge-cloud environment, and an array of manual tedious per-application optimizations. In this work, we propose Steel, a unified framework for developing, deploying, and monitoring applications in the edge-cloud. Steel supports dynamically adapting and easily moving services back and forth between the edge and the cloud. Steel is extensible where common optimizations (but crucial for the edge) can be built as pluggable and configurable modules. We have added two very common optimizations: placement and adaptive communication, to cope with both short and long-term changes in the workload and environment. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Distributed, Parallel, and Cluster Computing | Edge computing,Latency (engineering),Workload,Computer science,Internet of Things,Extensibility,Liberian dollar,Distributed computing,Cloud computing |
DocType | Volume | Citations |
Journal | abs/1805.02305 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shadi A. Noghabi | 1 | 14 | 4.63 |
| Jack Kolb | 2 | 0 | 0.34 |
| Peter Bodík | 3 | 1182 | 51.66 |
| Eduardo Cuervo | 4 | 0 | 0.34 |