Benchmarking the Data Layer Across Serverless Platforms

Proceedings of the 2nd Workshop on High Performance Serverless Computing Pub Date : 2022-06-30 DOI:10.1145/3526060.3535460

S. Palepu, Dheeraj Chahal, M. Ramesh, Rekha Singhal

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引用次数: 1

Abstract

The use of highly scalable serverless platforms for web microservices and IoT applications is well known. However, their use for data-intensive applications is restricted due to the stateless nature of serverless functions. Any data retrieval, storage, and the peer-to-peer communication requirement of an application in serverless deployment is satisfied using cloud storage services such as object storage, database, cache, etc. The heterogeneous cloud storage services offered by different cloud service providers have unique deliverable performance. One key challenge is to find the maximum achievable data transfer rate from serverless platforms to cloud storage services. In this work, we evaluate the performance of storage systems available for use with serverless platforms from multiple cloud vendors. Additionally, we examine the effect of cloud service characteristics and configurations on accelerating the data transfer between them. The experimental data provides some key insights to assist with designing application architecture using serverless platforms and cloud storage services.

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跨无服务器平台的数据层基准测试

在web微服务和物联网应用中使用高度可扩展的无服务器平台是众所周知的。然而，由于无服务器功能的无状态特性，它们在数据密集型应用程序中的使用受到限制。在无服务器部署中，应用程序的任何数据检索、存储和点对点通信需求都可以使用云存储服务(如对象存储、数据库、缓存等)来满足。不同云服务提供商提供的异构云存储服务具有独特的可交付性能。一个关键的挑战是找到从无服务器平台到云存储服务的最大可实现数据传输速率。在这项工作中，我们评估了可用于多个云供应商的无服务器平台的存储系统的性能。此外，我们还研究了云服务特征和配置对加速它们之间数据传输的影响。实验数据为使用无服务器平台和云存储服务设计应用程序架构提供了一些关键的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2nd Workshop on High Performance Serverless Computing

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