SCOOP: A Scalable Object-Oriented Serverless Platform

Narges Shahidi, Jashwant Raj Gunasekaran, Mahmut Taylan Kandemir, Bhuvan Urgaonkar

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Function-as-a-Service (FaaS) has been the primary component to drive the movement toward serverless computing. These lightweight and scalable components, though attractive, are non-trivial to accommodate the needs of long-running stateful applications. In this paper, we highlight the drawbacks of existing stateful FaaS proposals, in turn motivating the need to rethink the stateful serverless model for building general-purpose applications, while maintaining its benefits such as auto-scaling and pay-per-use cost model. We present a novel serverless model based on the object-oriented (OO) programming paradigm, with Object-as-a-Service (OaaS), acting as the only component of the serverless design. Through our experimental evaluations, we demonstrate that the proposed architecture, named SCOOP, can improve the end-to-end latency of applications by 52% and 58%, compared to the state-of-the-art stateless and stateful FaaS implementations, respectively, while reducing the SLO violations by up to 14% by scaling resources based on the traffic fluctuations in the WITS and Berkeley traces.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 IEEE 16th International Conference on Cloud Computing, CLOUD 2023
EditorsClaudio Ardagna, Nimanthi Atukorala, Pete Beckman, Carl K. Chang, Rong N. Chang, Constantinos Evangelinos, Jing Fan, Geoffrey C. Fox, Judy Fox, Christoph Hagleitner, Zhi Jin, Tevfik Kosar, Manish Parashar
PublisherIEEE Computer Society
Number of pages3
ISBN (Electronic)9798350304817
StatePublished - 2023
Event16th IEEE International Conference on Cloud Computing, CLOUD 2023 - Hybrid, Chicago, United States
Duration: Jul 2 2023Jul 8 2023

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190


Conference16th IEEE International Conference on Cloud Computing, CLOUD 2023
Country/TerritoryUnited States
CityHybrid, Chicago

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Software

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