Evaluation of Network File System as a Shared Data Storage in Serverless Computing

被引：4
|
作者：
Choi, Jaeghang [1 ]
Lee, Kyungyong [1 ]
机构：
[1] Kookmin Univ, Dept Comp Sci, Seoul, South Korea
来源：
PROCEEDINGS OF THE 2020 SIXTH INTERNATIONAL WORKSHOP ON SERVERLESS COMPUTING (WOSC '20) | 2020年
基金：
新加坡国家研究基金会;
关键词：
D O I：
10.1145/3429880.3430096
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Fully-managed cloud and Function-as-a-Service (FaaS) services allow the wide adoption of serverless computing for various cloud-native applications. Despite the many advantages that serverless computing provides, no direct connection support exists between function run-times, and it is a barrier for data-intensive applications. To overcome this limitation, the leading cloud computing vendor Amazon Web Services (AWS) has started to support mounting the network file system (NFS) across different function run-times. This paper quantitatively evaluates the performance of accessing NFS storage from multiple function run-times and compares the performance with other methods of sharing data among function run-times. Despite the great qualitative benefits of the approach, the limited I/O bandwidth of NFS storage can become a bottleneck, especially when the number of concurrent access from function run-times increases.
引用
收藏
页码：25 / 30
页数：6
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