昨年: [[IEEE SERVICES 2021の注目論文リスト]] [IEEE Cloud 2022 Technical Program](https://conferences.computer.org/cloud/2022/program/) CLD_REG_016 Application Deployment Strategies for Reducing the Cold Start Delay of AWS Lambda Jaime Dantas, Hamzeh Khazaei and Marin Litoiu CLD_REG_050 Bayesian Uncertainty Modelling for Cloud Workload Prediction Andrea Rossi, Andrea Visentin, Steven Prestwich and Kenneth N. Brown CLD_REG_076 SLAM: SLO-Aware Memory Optimization for Serverless Applications Gor Safaryan, Anshul Jindal, Mohak Chadha and Michael Gerndt CLD_REG_150 Handling Heterogeneous Workflows in the Cloud while Enhancing Optimizations and Performance Emile Cadorel, Helene Coullon and Menaud Jean-Marc CLD_WIP_164 A Guided Approach Towards Complex Chaos Selection, Prioritisation and Injection Ojaswa Sharma, Mudit Verma, Saumya Bhadauria and Praveen Jayachandran CLD_WIP_196 Towards More Effective and Explainable Fault Management Using Cross-Layer Service Topology Dhanya R. Mathews, Mudit Verma, J. Lakshmi and Pooja Aggarwal CLD_REG_028 Bypass Container Overlay Networks with Transparent BPF-driven Socket Replacement Sunyanan Choochotkaew, Tatsuhiro Chiba, Scott Trent and Marcelo Amaral CLD_SHT_111 Applying Value-Based Deep Reinforcement Learning on KPI Time Series Anomaly Detection Yu Zhang and Tianbo Wang CLD_SHT_169 Building Golden Signal Based Signatures for Log Anomaly Detection Seema Nagar, Suranjana Samanta, Prateeti Mohapatra and Debanjana Kar CLD_REG_114 [[2022__CLOUD__MicroLens - A Performance Analysis Framework for Microservices Using Hidden Metrics With BPF]] Marcelo Amaral, Tatsuhiro Chiba, Scott Trent, Takeshi Yoshimura and Sunyanan Choochotkaew CLD_WIP_139 A Case For Cross-Domain Observability to Debug Performance Issues in Microservices Ranjitha K, Praveen Tammana, Pravein Govindan Kannan and Priyanka Naik CLD_SHT_029 AutoDECK: Automated Declarative Performance Evaluation and Tuning Framework on Kubernetes Sunyanan Choochotkaew, Tatsuhiro Chiba, Scott Trent, Takeshi Yoshimura and Marcelo Amaral CLD_REG_045 [[2022__CLOUD__Detecting Layered Bottlenecks in Microservices]] Detecting Layered Bottlenecks in Microservices Tatsushi Inagaki, Yohei Ueda, Moriyoshi Ohara, Sunyanan Choochotkaew, Marcelo Amaral, Scott Trent, Tatsuhiro Chiba and Qi Zhang CLD_REG_054 [[2022__CLOUD__Localizing and Explaining Faults in Microservices using Distributed Tracing]] Localizing and Explaining Faults in Microservices using Distributed Tracing Jesus Rios, Saurabh Jha and Laura Shwartz CLD_REG_092 Automated Configuration for Agile Software Environments Negar Mohammadi Koushki, Sanjeev Sondur and Krishna Kant CLD_REG_044 Avengers, Assemble! Survey of WebAssembly Security Solutions Minseo Kim, Hyerean Jang and Youngjoo Shin [IEEE SCC 2022 - TECHNICAL PROGRAM](https://conferences.computer.org/scc/2022/program/) SCC_SHT_883 General KPI Anomaly Detection using Attention Model Yanjun Shu, Tianrun Gao, Zhan Zhang and Jianhang Zhang SCC_SHT_6217 A Long-term Cloud Workload Prediction Framework for Reserved Resource Allocation Tianyang Wu, Maolin Pan and Yang Yu SCC_SHT_1266 Leveraging Log Instructions in Log-based Anomaly Detection Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso and Odej Kao