https://senhe.ai/tags/serverless/ServerlessHugoBlox Kit (https://hugoblox.com)en-usSun, 01 Jan 2023 00:00:00 +0000https://senhe.ai/media/icon_hu_da05098ef60dc2e7.pnghttps://senhe.ai/tags/serverless/https://senhe.ai/projects/cloud-testing/Sun, 01 Jan 2023 00:00:00 +0000https://senhe.ai/projects/cloud-testing/<h2 id="overview">Overview</h2> <p>Cloud computing introduces fundamental challenges for performance testing due to resource contention, hidden scheduling policies, and passive auto-scaling. These challenges are amplified in <strong>serverless computing</strong> environments where the resource abstraction level is higher and auto-scaling behaviors are not well-characterized.</p> <h2 id="research-thrusts">Research Thrusts</h2> <p><strong>Serverless Auto-Scaling Characterization</strong>: We define and characterize auto-scaling stages for serverless platforms, decomposing performance uncertainty into resource contention during execution and cold start-up latencies during environment initiation.</p> <p><strong>Monte Carlo Simulation-Based Testing</strong>: We develop simulation-based methodologies that can predict performance distributions of serverless applications, accounting for the stochastic nature of cloud performance fluctuations.</p> <p><strong>AI-Based Cloud Emulation</strong>: Building systems that emulate cloud environments on local machines to help users obtain accurate performance results at reduced testing costs, particularly when multiple applications need to be evaluated.</p> <p><strong>Performance Assurance in DevOps</strong>: Using development and operational data to detect performance regressions early in the software delivery cycle, with attention to end-user impact.</p>