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Data platforms and analytics

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services

GenAI for Industry - AI-generated image compilation of industrial blueprints from renewable energy to transporation and manufacturing

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

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Published Date

Event

KDD 2022

August 14, 2022 – August 18, 2022 | Washington, DC

Microsoft is proud to be a sponsor of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (opens in new tab). The annual ACM SIGKDD conference is the premier international forum for data…

Publication

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Project Project

Publication

Learning Differential Operators for Interpretable Time Series Modeling

Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian

KDD 2022 | August 2022

Publication

TAOBench: An End-to-End Benchmark for Social Networking Workloads

Audrey Cheng, Xiao Shi, Aaron Kabcenell, Shilpa Lawande, Hamza Qadeer, Jason Chan, Harrison Tin, Ryan Zhao, Peter Bailis, Mahesh Balakrishnan, Nathan Bronson, Natacha Crooks, Ion Stoica

VLDB 2022 | August 2022

Publication

Digital Water for Agriculture

Sara Malvar, Anirudh Badam, Ranveer Chandra

August 2022

Publication

DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning (Extended Version)

Tarique Siddiqui, Wentao Wu, Vivek Narasayya, Surajit Chaudhuri

VLDB 2022 | August 2022

Publication

Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach

Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang

SIGKDD’22 | August 2022

Project Project

Publication

Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud

Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra M Ciortea, Sreraman Narasimhan, Subru Krishnan

VLDB 2022 | August 2022

Publication

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365

Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang

SIGKDD 2022 | August 2022

Project Project

Publication

PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost!

Remmelt Ammerlaan, Gilbert Antonius, Marc Friedman, H M Sajjad Hossain, Alekh Jindal, Peter Orenberg, Hiren Patel, Shi Qiao, Vijay Ramani, Lucas Rosenblatt, Abhishek Roy, Irene Shaffer, Soundarajan Srinivasan, Markus Weimer

VLDB 2022 | August 2022

Data platforms and analytics

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