Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...
Search Computing defines a new class of applications, which enable end users to perform exploratory search processes over multi-domain data sources available on the Web. These appl...
Alessandro Bozzon, Marco Brambilla, Alessandro Cam...
Abstract— The scale, reliability, and cost requirements of enterprise data centers require automation of center management. Examples include provisioning, scheduling, capacity pl...
Sandip Agarwala, Yuan Chen, Dejan S. Milojicic, Ka...
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
Distributed storage systems often use data replication to mask failures and guarantee high data availability. Node failures can be transient or permanent. While the system must ge...
Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei ...