µFuncCache: A User-Side Lightweight Cache System for Public FaaS Platforms

Author:

Li Bao1,Li Zhe1,Luo Jun1,Tan Yusong1,Lu Pingjing1

Affiliation:

1. School of Computer, National University of Defense Technology, Changsha 410073, China

Abstract

Building cloud-native applications based on public “Function as a Service” (FaaS) platforms has become an attractive way to improve business roll-out speed and elasticity, as well as reduce cloud usage costs. Applications based on FaaS are usually designed with multiple different cloud functions based on their functionality, and there will be call relationships between cloud functions. At the same time, each cloud function may depend on other services provided by cloud providers, such as object storage services, database services, and file storage services. When there is a call relationship between cloud functions, or between cloud functions and other services, a certain delay will occur, and the delay will increase with the length of the call chain, thereby affecting the quality of application services and user experience. Therefore, we introduce μFuncCache, a user-side lightweight caching mechanism to speed up data access for public FaaS services, fully utilizing the container delay destruction mechanism and over-booked memory commonly found in public FaaS platforms, to reduce function call latency without the need to perceive and modify the internal architecture of public clouds. Experiments in different application scenarios have shown that μFuncCache can effectively improve the performance of FaaS applications by consuming only a small amount of additional resources, while achieving a maximum reduction of 97% in latency.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference55 articles.

1. Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R.H., Konwinski, A., Lee, G., Patterson, D.A., Rabkin, A., and Stoica, I. (2023, April 21). Above the Clouds: A Berkeley View of Cloud Computing. Available online: https://www2.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf.

2. Cinar, K., Justin, M.R., Aadharsh, K., and Preston, M. (2017, January 3–7). Usage patterns and the economics of the public cloud. Proceedings of the 26th International Conference on World Wide Web (WWW), Perth, Australia.

3. Jonas, E., Schleier-Smith, J., Sreekanti, V., Tsai, C., Khandelwal, A., Pu, Q., Shankar, V., Carreira, J.M., Krauth, K., and Yadwadkar, N. (2023, April 21). Cloud Programming Simplified: A Berkeley View on Serverless Computing. Available online: https://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-3.pdf.

4. The rise of serverless computing;Castro;Commun. ACM,2019

5. What Serverless Computing Is and Should Become: The next Phase of Cloud Computing;Sreekanti;Commun. ACM,2021

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