DeepTriage: Automated transfer assistance for incidents in cloud services

Abstract: As cloud services are growing and generating high revenues, the cost of downtime in these services is becoming significantly expensive. To reduce loss and service downtime, a critical primary step is to execute incident triage, the process of assigning a service incident to the correct responsible team, in a timely manner. An incorrect assignment risks additional incident reroutings and increases its time to mitigate by 10x. However, automated incident triage in large cloud services faces many challenges: (1) a highly imbalanced incident distribution from a large number of teams, (2) wide variety in formats of input data or data sources, (3) scaling to meet production-grade requirements, and (4) gaining engineers’ trust in using machine learning recommendations. To address these challenges, we introduce DeepTriage, an intelligent incident transfer service combining multiple machine learning techniques - gradient boosted classifiers, clustering methods, and deep neural networks - in an ensemble to recommend the responsible team to triage an incident. Experimental results on real incidents in Microsoft Azure show that our service achieves 82.9

13/07/2020

Chuan Luo, Bo Qiao, Wenqian Xing and
Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

distributed, asynchronous, large scale, gradient staleness, staleness penalization, sgd, deep learning, neural networks, optimization

4:36

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Predictive Job Scheduling under Uncertain Constraints in Cloud Computing

Hang Dong, Boshi Wang, Bo Qiao and
Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda

Yu Zhou, Chen Sun, Hongqiang Harry Liu and
Rui Miao, Shi Bai, Bo Li, Zhilong Zheng, Lingjun Zhu, Zhen Shen, Yongqing Xi, Pengcheng Zhang, Dennis Cai, Ming Zhang, Mingwei Xu

auto ml, hyperparameter optimization, meta learning, task aware, hyperband, hyperparameters, warm start, image classication, resnet, shufflenet

4:58

19/01/2020

Abstract Interpretation, Distributed Routing Protocols, Network Control Plane, Network Verification, Router Configuration Verification, Network Simulation, Network Reliability

20:41

14/09/2020

Sebastien Levy, Randolph Yao, Youjiang Wu and
Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga Govindaraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati

Justin Fu, Mohammad Norouzi, Ofir Nachum and
George Tucker, ziyu wang, Alexander Novikov, Sherry Yang, Michael Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Tom Paine

Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic and
Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic