A Resource-centric Analysis and Optimization of NoSQL Workloads using Distressed Resource Volume Metric
Summary: Releases real Cosmos DB NoSQL traces and introduces Distressed Resource Volume (DRV) to quantify user-facing QoS, plus LoadStar for policy simulation. Luna forecasting and Orbit replica rebalancing reduce tail errors and resources by up to 35% in production. (summarized by gpt-5.6-luna on Aug 17 2026)
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Authors
- 1. Gunika Verma (Microsoft)
- 2. Aashutosh A V (Microsoft)
- 3. Pooja Srinivas (Microsoft)
- 4. Yogesh Simmhan (Indian Institute of Science)
- 5. Ayush Choure (Microsoft)
- 6. Harshit Shah (Microsoft)
- 7. Mayukh Das (Microsoft)
- 8. Prashant Sasatte (Microsoft)
- 9. Chetan Bansal (Microsoft)
- 10. Abhijit Pai (Microsoft)
- 11. Suraj Dixit (Microsoft)
- 12. Achint Agrawal (Microsoft)
BibTeX Citation
@article{verma_vldb26,
title = {{A Resource-centric Analysis and Optimization of NoSQL Workloads using Distressed Resource Volume Metric}},
author = {Verma, Gunika and V, Aashutosh A and Srinivas, Pooja and Simmhan, Yogesh and Choure, Ayush and Shah, Harshit and Das, Mayukh and Sasatte, Prashant and Bansal, Chetan and Pai, Abhijit and Dixit, Suraj and Agrawal, Achint},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {9},
pages = {1867--1879},
doi = {10.14778/3819518.3819520},
url = {https://doi.org/10.14778/3819518.3819520},
year = {2026}
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