Fetching the paper…
Reading the bibliography…
Incident management for large cloud services is a complex and tedious process and requires significant amount of manual efforts from on-call engineers (OCEs).
Detection Is Better Than Cure: A Cloud Incidents Perspective. In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering . 1891–1902
Vaibhav Ganatra, Anjaly Parayil, Supriyo Ghosh, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, and Jonathan Mace. 2023 · 1902
Earlier work this paper cites.
Algorithms for the Longest Common Subsequence Problem
Daniel S. Hirschberg. 1977 · 1977
Earlier work this paper cites.
ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out . Association for Computational Linguistics, 74–81
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation. In COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics . COLING, 501–507
Chin-Yew Lin and Franz Josef Och. 2004 · 2004
Earlier work this paper cites.
METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. In Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization , Jade Goldstein, Alon Lavie, Chin-Yew Lin, and Clare Voss (Eds.). Association for Computational Linguistics, Ann Arbor, Michigan, 65–72
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
Correlating events with time series for incident diagnosis. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining . 1583–1592
Chen Luo, Jian-Guang Lou, Qingwei Lin, Qiang Fu, Rui Ding, Dongmei Zhang, and Zhe Wang. 2014 · 2014
Earlier work this paper cites.
Simple Testing Can Prevent Most Critical Failures: An Analysis of Production Failures in Distributed { \{ Data-Intensive } \} Systems. In 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI 14) . 249–265
Ding Yuan, Yu Luo, Xin Zhuang, Guilherme Renna Rodrigues, Xu Zhao, Yongle Zhang, Pranay U Jain, and Michael Stumm. 2014 · 2014
Earlier work this paper cites.
Response time service level agreements for cloud-hosted web applications. In Proceedings of the Sixth ACM Symposium on Cloud Computing . 315–328
Hiranya Jayathilaka, Chandra Krintz, and Rich Wolski. 2015 · 2015
Earlier work this paper cites.
Thinking about availability in large service infrastructures. In Proceedings of the 16th Workshop on Hot Topics in Operating Systems . 12–17
Jeffrey C Mogul, Rebecca Isaacs, and Brent Welch. 2017 · 2017
Earlier work this paper cites.
An analysis of { \{ network-partitioning } \} failures in cloud systems. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18) . 51–68
Ahmed Alquraan, Hatem Takruri, Mohammed Alfatafta, and Samer Al-Kiswany. 2018 · 2018
Earlier work this paper cites.
An empirical study on crash recovery bugs in large-scale distributed systems. In Proceedings of the 2018 26th ACM joint meeting on european software engineering conference and symposium on the foundations of software engineering . 539–550
Yu Gao, Wensheng Dou, Feng Qin, Chushu Gao, Dong Wang, Jun Wei, Ruirui Huang, Li Zhou, and Yongming Wu. 2018 · 2018
Earlier work this paper cites.
Amazon’s one hour of downtime on Prime Day may have cost it up to $100 million in lost sales
Sean Wolfe. 2018 · 2018
Earlier work this paper cites.
Continuous incident triage for large-scale online service systems. In 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE) . IEEE, 364–375
Junjie Chen, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, and Dongmei Zhang. 2019 · 2019
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) . Association for Computational Linguistics, 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Earlier work this paper cites.
Characterizing service level objectives for cloud services: Realities and myths. In 2019 IEEE International Conference on Autonomic Computing (ICAC) . IEEE, 200–206
Jianru Ding, Ruiqi Cao, Indrajeet Saravanan, Nathaniel Morris, and Christopher Stewart. 2019 · 2019
Earlier work this paper cites.
Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
Earlier work this paper cites.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019b · 2019
Cited alongside, same era.
Nines are not enough: Meaningful metrics for clouds. In Proceedings of the Workshop on Hot Topics in Operating Systems . 136–141
Jeffrey C Mogul and John Wilkes. 2019 · 2019
Cited alongside, same era.
Language Models are Unsupervised Multitask Learners
Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Cited alongside, same era.
Cloud Monitoring
Chellammal Surianarayanan, Pethuru Raj Chelliah, Chellammal Surianarayanan, and Pethuru Raj Chelliah. 2019 · 2019
Cited alongside, same era.
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Weinberger, and Yoav Artzi. 2019 · 2019
Cited alongside, same era.
Jigsaw: Large language models meet program synthesis. In Proceedings of the 44th International Conference on Software Engineering . 1219–1231
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, and Rahul Sharma. 2022 · 2022
Later among the works it cites.
Using deep learning to generate complete log statements. In Proceedings of the 44th International Conference on Software Engineering . 2279–2290
Antonio Mastropaolo, Luca Pascarella, and Gabriele Bavota. 2022 · 2022
Later among the works it cites.
Codegen: An open large language model for code with multi-turn program synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong. 2022 · 2022
Later among the works it cites.
A systematic evaluation of large language models of code. In Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming . 1–10
Frank F Xu, Uri Alon, Graham Neubig, and Vincent Josua Hellendoorn. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
DeCaf: diagnosing and triaging performance issues in large-scale cloud services. In Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Practice . 201–210
Chetan Bansal, Sundararajan Renganathan, Ashima Asudani, Olivier Midy, and Mathru Janakiraman. 2020 · 2020
Cited alongside, same era.
Characterizing Service Level Objectives for Cloud Services: Motivation of Short-Term Cache Allocation Performance Modeling
Jianru Ding. 2020 · 2020
Cited alongside, same era.
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems. In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering . 1410–1420
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, et al · 2020
Cited alongside, same era.
NUBIA: NeUral Based Interchangeability Assessor for Text Generation. In Proceedings of the 1st Workshop on Evaluating NLG Evaluation . Association for Computational Linguistics, 28–37
Hassan Kane, Muhammed Yusuf Kocyigit, Ali Abdalla, Pelkins Ajanoh, and Mohamed Coulibali. 2020 · 2020
Cited alongside, same era.
Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
Cited alongside, same era.
Understanding and detecting software upgrade failures in distributed systems. In Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles . 116–131
Yongle Zhang, Junwen Yang, Zhuqi Jin, Utsav Sethi, Kirk Rodrigues, Shan Lu, and Ding Yuan. 2021 · 2021
Cited alongside, same era.
Few-shot training LLMs for project-specific code-summarization. In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering . 1–5
Toufique Ahmed and Premkumar Devanbu. 2022 · 2022
Cited alongside, same era.
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. In 45th International Conference on Software Engineering
Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, and Saravan Rajmohan. 2023 · 2023
Later among the works it cites.
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents
Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming WEN, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, and Dongmei Zhang. 2023 · 2023
Later among the works it cites.
Gemini: A Family of Highly Capable Multimodal Models
Gemini Team Google. 2023 · 2023
Later among the works it cites.
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, et al · 2023
Later among the works it cites.
Repair is nearly generation: Multilingual program repair with llms. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 37. 5131–5140
Harshit Joshi, José Cambronero Sanchez, Sumit Gulwani, Vu Le, Gust Verbruggen, and Ivan Radiček. 2023 · 2023
Later among the works it cites.
Software testing with large language model: Survey, landscape, and vision
Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, and Qing Wang. 2023 · 2023
Later among the works it cites.
Dependency Aware Incident Linking in Large Cloud Systems. In Proceedings of The Web Conference (WWW)
Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, and Saravan Rajmohan. 2024 · 2024
Closest in time.
Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach. In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering
Pooja Srinivas, Fiza Husain, Anjaly Parayil, Ayush Choure, Chetan Bansal, and Saravan Rajmohan. 2024 · 2024
Closest in time.
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, and Saravan Rajmohan. 2024 · 2024
Closest in time.
Learning a hierarchical monitoring system for detecting and diagnosing service issues. In Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining . 2029–2038
Vinod Nair, Ameya Raul, Shwetabh Khanduja, Vikas Bahirwani, Qihong Shao, Sundararajan Sellamanickam, Sathiya Keerthi, Steve Herbert, and Sudheer Dhulipalla. 2015 · 2038
Closest in time.
GMonE: A complete approach to cloud monitoring
Jesús Montes, Alberto Sánchez, Bunjamin Memishi, María S Pérez, and Gabriel Antoniu. 2013 · 2040
Closest in time.
Cloud monitoring: A survey
Giuseppe Aceto, Alessio Botta, Walter De Donato, and Antonio Pescapè. 2013 · 2093
Closest in time.