Name
Abstract | ||
|---|---|---|
Edge computing reorganizes edge resources but is unstable and unreliable at present, thus, orchestration may occur occasionally. This paper provides an architecture named Boundless Resource Orchestrator (BRO) combing cloud computing and edge computing based on containers. The proposed architecture leverages container technology to accelerate and optimize the orchestration process. A master-slave paradigm is implemented in the architecture to provide region autonomy abilities rather than the centralized architecture. Considering the ever-changing circumstance of edge cloud, an orchestration strategy named Best Performance at Least Cost (BPLC) is proposed to maximize the performance of computing at minimum cost dynamically and automatically. Experiments are carried out on measuring couples of infrastructures and orchestration strategies that prove the BRO and BPLC as prior choices dealing with massive jobs in edge computing. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICCCN.2018.8487377 | 2018 27th International Conference on Computer Communication and Networks (ICCCN) |
Keywords | Field | DocType |
architecture leverages container technology,edge cloudcloud computing,edge cloud computing resources,BRO,master-slave paradigm,best performance at least cost,BPLC | Edge computing,Architecture,Computer science,Orchestration,Master/slave,Orchestration (computing),Distributed computing,Cloud computing | Conference |
ISSN | ISBN | Citations |
1095-2055 | 978-1-5386-5157-5 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenguang Yu | 1 | 0 | 1.35 |
| J. Wang | 2 | 479 | 95.23 |
| Qi Qi | 3 | 210 | 56.01 |
| Haifeng Sun | 4 | 68 | 27.77 |
| Jian Zou | 5 | 0 | 0.68 |