5 papers
Vivace: Exact Temporal OLAP over Interval Histories via Independent Serverless Execution
Woohyeok Park, Taeyoon Kim, Hyunjoon Kim +1
Temporal online analytical processing (OLAP) analyzes past states of data whose values change over time. Such histories are naturally stored as interval histories, in which each ro…
KubePACS: Kubernetes Cluster Using Performant, Highly Available, and Cost Efficient Spot Instances
Taeyoon Kim, Kyumin Kim, Enrique Molina-Giménez +2
Cloud users aim to minimize cost while maximizing performance by selecting the most suitable instance types for their workloads. To reduce expenses, spot instances have been widely…
Ding-Dong Ditch: Peeking Into Spot Instance Availability
Kyumin Kim, Moohyun Song, Taeyoon Kim +1
Spot instances offer significant cost savings of up to 90% over on-demand prices, making them an attractive resource for large-scale computing workloads. However, understanding the…
SpotVista: Availability-Aware Recommendation System for Reliable and Cost-Efficient Multi-Node Spot Instances
Taeyoon Kim, Kyumin Kim, Kyunghwan Kim +4
Cloud vendors offer discounted spot instances to maximize surplus resource utilization, but these instances are subject to the risk of sudden interruption. Traditional pricing data…
Why Do AI Agents Systematically Fail at Cloud Root Cause Analysis?
Taeyoon Kim, Woohyeok Park, Hoyeong Yun +1
Failures in large-scale cloud systems incur substantial financial losses, making automated Root Cause Analysis (RCA) essential for operational stability. Recent efforts leverage La…