Name
Abstract | ||
|---|---|---|
Edge computing has become the de facto method for delay-sensitive applications, in which the computation and storage resources are placed at the edge of network. The main responsibility of edge computing is to carry data from the Cloud downlinks and terminal uplinks, and organize these data well on the edge side. This is the basis for subsequent analysis and processing of data. Therefore, this brings about a question as to how those data should be organized on the edge and how to store and retrieve them. In response to this demand, some methods have been proposed to solve the related problems of how to build data storage and retrieval services on the edge side. Those methods propose three different solutions: structured, unstructured, and hybrid schemes. However, the data storage and retrieval services for the heterogeneous edge environment is still lack of research. It is still not considered an important design test load balancing when the data is stored on the edge side. In this paper, we design and implement w-strategy, a load balance approach that implements the appropriate load balance among the heterogeneous edge nodes by using the weighted Voronoi diagram. Our solution utilizes the software defined networking paradigm to support a virtual-space based distributed hash tables (DHTs) to distribute data. Evaluation results show that w-strategy achieves better load balancing among the heterogeneous edge nodes compared to the existing methods, GRED and Chord. And, the w-strategy improves the average underutilization of the resources by 20%. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICPADS51040.2020.00027 | 2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS) |
Keywords | DocType | ISSN |
weighted Voronoi,SDN,load balance,edge computing | Conference | 1521-9097 |
ISBN | Citations | PageRank |
978-1-7281-8382-4 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sheng Chen | 1 | 2 | 2.07 |
| Zheng Chen | 2 | 5019 | 256.89 |
| Siyuan Gu | 3 | 5 | 1.76 |
| Baochao Chen | 4 | 0 | 0.34 |
| Junjie Xie | 5 | 0 | 0.34 |
| Deke Guo | 6 | 326 | 47.25 |