activity
20172025
most citedMITHRIL: Mining Sporadic Associations for Cache Prefetching

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.OS2025★ 1 cited

Valet: Efficient Data Placement on Modern SSDs

Devashish R. Purandare, Peter Alvaro, Avani Wildani +2

The increasing demand for SSDs coupled with scaling difficulties has left manufacturers scrambling for newer SSD interfaces which promise better performance and durability. While t…

cs.DB2024

Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL

Vishwanath Seshagiri, Siddharth Balyan, Vaastav Anand +5

Logging is a critical function in modern distributed applications, but the lack of standardization in log query languages and formats creates significant challenges. Developers cur…

cs.LG2024

Spatial Transfer Learning for Estimating PM2.5 in Data-poor Regions

Shrey Gupta, Yongbee Park, Jianzhao Bi +4

Air pollution, especially particulate matter 2.5 (PM2.5), is a pressing concern for public health and is difficult to estimate in developing countries (data-poor regions) due to a…

cs.LG2022★ 1 cited

ISTRBoost: Importance Sampling Transfer Regression using Boosting

Shrey Gupta, Jianzhao Bi, Yang Liu +1

Current Instance Transfer Learning (ITL) methodologies use domain adaptation and sub-space transformation to achieve successful transfer learning. However, these methodologies, in…

cs.PF2017★ 2 cited

MITHRIL: Mining Sporadic Associations for Cache Prefetching

Juncheng Yang, Reza Karimi, Trausti Sæmundsson +2

The growing pressure on cloud application scalability has accentuated storage performance as a critical bottle- neck. Although cache replacement algorithms have been extensively st…