International Conference on Computer and Knowledge Engineering

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FaaScaler: An Automatic Vertical and Horizontal Scaler for Serverless Computing Environments

Authors :

Zahra Rezaei¹ Saeid Abrishami² Seid Nima Moeintaghavi³

1- Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran 2- Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran 3- Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

Keywords :

Serverless Computing،Vertical Scaling،Horizontal Scaling،Reinforcement Learning

Abstract :

Function as a Service (FaaS) is a cloud computing model that relieves application developers from the responsibility of managing infrastructure tasks like resource provisioning and scaling. Serverless functions, however, have specific and limited execution times, making effective auto-scaling decisions for these services particularly challenging. To ensure proper configuration and scaling of resources, it is essential to have a thorough understanding of environmental changes and dynamic factors that influence system performance, alongside considering function specifications and user needs. To tackle this issue, we introduce FaaScaler, a reinforcement learning-based approach for scaling functions and containers, aimed at meeting function deadlines and enhancing processor efficiency. FaaScaler models the scaling challenge as a Markov Decision Process (MDP) and utilizes the Proximal Policy Optimization (PPO) learning algorithm to train an agent to make both horizontal and vertical scaling decisions. The proposed system is evaluated using the OpenFaaS platform, with results indicating that FaaScaler effectively meets execution deadlines for most requests while optimizing processor utilization.

Papers List

List of archived papers

Adaptive Pattern Reconstruction Using Linear Regression for Improved TPS Anomaly Detection

Ali Azarsina - Alireza Safarzadeh - MohammadReza Jamali - Abdolhossein Vahabie

Real-time Implementation of Fuzzy Visual Servoing for a Delta Robot via Shape and Color Detection

Nooshin Najafian - Alireza Ashrafi Majd - Abbas Ansaroudi - Sahar Aghazadeh - Manizheh Zakeri - Mohammad-Reza Sayyed Noorani

Span-prediction of Unknown Values for Long-sequence Dialogue State Tracking

Marzieh Naghdi Dorabati - Reza Ramezani - Mohammad Ali Nematbakhsh

Frame Classification in Video Capsule Endoscopy Using an Improved Capsule Network

Amirhossein Ghaemi - Habibollah Danyali - Alireza Ghaemi

DevRanker: An Effective Approach to Rank Developers for Bug Report Assignment

Mohammad Reza Kardoost - Mohammad Reza Moosavi - Reza Akbari

Intelligent Rule Extraction in Complex Event Processing Platform for Health Monitoring Systems

Mohammad Mehdi Naseri - Shima Tabibian - Elaheh Homayounvala

Token-Based Access Control for Inter-organization Collaboration in Hyperldger Fabric

Parsa Hedayatnia - Mohammad Ata Jalilian - Mohammad Allahbakhsh - Haleh Amintoosi

Investigating the Behavior of Generation Z Customers in Online Banking Services (Case Study of a Bank of Iran)

Elham Mahmoudabadi - Esmaeil Mollaahmadi

LightFedSelect: A Lightweight Framework for Byzantine-Robust Federated Learning

Seyed Saeed Razavi - Seyed Arsalan Vasegh Rahim Parvar - Soroosh Dadashi Pakdeh - Mohammad Matin Rezaeifard - Morteza Mollaie Chafi - Reza Ebrahimi Atani

Taguchi Design of Experiments Application in Robust sEMG Based Force Estimation

Mohsen Ghanaei - Hadi Kalani - Alireza Akbarzadeh