## CLOUD - Best Paper Award: Real-time Task Scheduling in a FaaS Cloud - Best Student Paper Award: Towards a Robust Meta-Reinforcement Learning-Based Scheduling Framework for Time Critical Tasks in Cloud Environments - A system for proactive risk assessment of application changes in cloud operations - [[2021__CLOUD__Causal Modeling based Fault Localization in Cloud Systems using Golden Signals]] - AI-Assisted Security Controls Mapping for Clouds Built for Regulated Workloads - A Generalized Nesterov-accelerated Hessian-vector-based Latent Factor Analysis Model for QoS Prediction - Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters - A Deep Reinforcement Learning Approach to Resource Management in Hybrid Clouds Harnessing Renewable Energy and Task Scheduling - Impact of Distributed Rate Limiting on Load Distribution in a Latency-sensitive Messaging Service - [[2021__CLOUD__A Novel Middleware for Efficiently Implementing Complex Cloud-Native SLO]] - Fast and Efficient Performance Tuning of Microservices Vahid Mirzaebrahim Mostofi, Diwakar Krishnamurthy and Martin Arlitt - [[2021__CLOUD__Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models]] - NL2Vul: Natural Language to Standard Vulnerability Score for Cloud Security Posture Management, Muhammed Bulut and Jinho Hwang - Ensemble of Unsupervised Parametric and Non-Parametric Techniques to Discover Change Actions - DLB: Deep Learning Based Load Balancing, Xiaoke Zhu - A Holistic Approach to Data Access for Cloud-Native Analytics and Machine Learning - (WIP) Insights into Multi-Layered Fault Propagation and Analysis in a Cloud Stack - (WIP) Konveyor Move2Kube: Automated Replatforming of Applications to Kubernetes ## ICWS - (INV) [[2021__ICWS__SLO Script - A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs]] - (REG) SiaSL: A Siamese Neural Network for Service Level Prediction - (REG) GHTRec: A Personalized Service to Recommend GitHub Trending Repositories for Developers - (REG) COPA: A Combined Autoscaling Method for Kubernetes - (REG) Sieve: Attention-based Sampling of End-to-End Trace Data in Distributed Microservice Systems - (REG) An Assurance-Based Risk Management Framework for Distributed Systems - (WIP) Automatic Control Network Anomaly Detection Based on Behavior Understanding -