activity
20192026
collaborators

5 papers

cs.AI2026

ActionNex: A Virtual Outage Manager for Cloud Computing

Zhenfeng Lin, Haoji Hu, Ming Hao +11

Outage management in large-scale cloud operations remains heavily manual, requiring rapid triage, cross-team coordination, and experience-driven decisions under partial observabili…

eess.SY2024

Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure

Chaoyun Zhang, Randolph Yao, Si Qin +8

The presence of unhealthy nodes in cloud infrastructure signals the potential failure of machines, which can significantly impact the availability and reliability of cloud services…

cs.DC2024

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction

Haozhe Li, Minghua Ma, Yudong Liu +8

With the rapid growth of cloud computing, a variety of software services have been deployed in the cloud. To ensure the reliability of cloud services, prior studies focus on failur…

stat.AP2020

Breaking hypothesis testing for failure rates

Rohit Pandey, Yingnong Dang, Gil Lapid Shafriri +2

We describe the utility of point processes and failure rates and the most common point process for modeling failure rates, the Poisson point process. Next, we describe the uniforml…

cs.DC2019

Annual Interruption Rate as a KPI, its measurement and comparison

Rohit Pandey, Yingnong Dang, Ali Vira +3

This article is divided into two chapters. The first chapter describes the failure rate as a KPI and studies its properties. The second one goes over ways to compare this KPI acros…