Tootfinder

MuST2-Learn: Multi-view Spatial-Temporal-Type Learning for Heterogeneous Municipal Service Time Estimation
Nadia Asif, Zhiqing Hong, Shaogang Ren, Xiaonan Zhang, Xiaojun Shang, Yukun Yuan
https://arxiv.org/abs/2508.16503

MuST2-Learn: Multi-view Spatial-Temporal-Type Learning for Heterogeneous Municipal Service Time Estimation
Non-emergency municipal services such as city 311 systems have been widely implemented across cities in Canada and the United States to enhance residents' quality of life. These systems enable residents to report issues, e.g., noise complaints, missed garbage collection, and potholes, via phone calls, mobile applications, or webpages. However, residents are often given limited information about when their service requests will be addressed, which can reduce transparency, lower resident satisfac…

Scavenger : Revisiting Space-Time Tradeoffs in Key-Value Separated LSM-trees
Jianshun Zhang, Fang Wang, Jiaxin Ou, Yi Wang, Ming Zhao, Sheng Qiu, Junxun Huang, Baoquan Li, Peng Fang, Dan Feng
https://arxiv.org/abs/2508.13935

Scavenger+: Revisiting Space-Time Tradeoffs in Key-Value Separated LSM-trees
Key-Value Stores (KVS) based on log-structured merge-trees (LSM-trees) are widely used in storage systems but face significant challenges, such as high write amplification caused by compaction. KV-separated LSM-trees address write amplification but introduce significant space amplification, a critical concern in cost-sensitive scenarios. Garbage collection (GC) can reduce space amplification, but existing strategies are often inefficient and fail to account for workload characteristics. Moreove…

Scavenger: Better Space-Time Trade-Offs for Key-Value Separated LSM-trees
Jianshun Zhang, Fang Wang, Sheng Qiu, Yi Wang, Jiaxin Ou, Junxun Huang, Baoquan Li, Peng Fang, Dan Feng
https://arxiv.org/abs/2508.13909

Scavenger: Better Space-Time Trade-Offs for Key-Value Separated LSM-trees
Key-Value Stores (KVS) implemented with log-structured merge-tree (LSM-tree) have gained widespread acceptance in storage systems. Nonetheless, a significant challenge arises in the form of high write amplification due to the compaction process. While KV-separated LSM-trees successfully tackle this issue, they also bring about substantial space amplification problems, a concern that cannot be overlooked in cost-sensitive scenarios. Garbage collection (GC) holds significant promise for space amp…