ServlessSimPro: A comprehensive serverless simulation platform

IF 6.2 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS Future Generation Computer Systems-The International Journal of Escience Pub Date : 2024-10-19 DOI:10.1016/j.future.2024.107558

Han Cao , Jinquan Zhang , Long Chen , Siyuan Li , Guang Shi

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Abstract

Serverless computing represents an emerging paradigm within cloud computing, characterized by the fundamental concept of enabling developers to run applications without the need for concerns related to the management of underlying servers. Although there are several mature serverless computing platforms currently exist, there is limited availability of open-source simulation platforms that can accurately simulate the characteristics of serverless environments and provide a free and convenient tool for researchers to conduct investigations. Furthermore, existing simulation platforms do not provide comprehensive interfaces for scheduling strategies and do not provide the diverse monitoring metrics required by researchers. In response to this gap, we have developed the ServlessSimPro simulation platform. This platform offers the most comprehensive set of scheduling algorithms, diverse evaluation metrics, and extensive interfaces and parameters among all existing serverless simulators. The experimental results demonstrate that the scheduling algorithm of the simulator can effectively reduce latency, enhance resource utilization, and decrease energy consumption.

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ServlessSimPro：全面的无服务器仿真平台

无服务器计算代表了云计算中的一种新兴范式，其基本概念是让开发人员能够在无需关注底层服务器管理的情况下运行应用程序。虽然目前有几个成熟的无服务器计算平台，但能准确模拟无服务器环境特征并为研究人员提供免费、方便的研究工具的开源模拟平台却很有限。此外，现有的仿真平台没有为调度策略提供全面的接口，也没有提供研究人员所需的各种监控指标。针对这一不足，我们开发了 ServlessSimPro 仿真平台。在现有的无服务器仿真器中，该平台提供了最全面的调度算法、多样化的评估指标以及广泛的接口和参数。实验结果表明，该模拟器的调度算法能有效减少延迟、提高资源利用率并降低能耗。

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来源期刊

Future Generation Computer Systems-The International Journal of Escience 工程技术-计算机：理论方法

CiteScore

19.90

自引率

2.70%

发文量

376

审稿时长

10.6 months

期刊介绍： Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.

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