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Guoqing Harry Xu

Researcher at University of California, Los Angeles

Publications -  16
Citations -  349

Guoqing Harry Xu is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Scalability & Server. The author has an hindex of 6, co-authored 16 publications receiving 138 citations.

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Proceedings ArticleDOI

Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics

TL;DR: Reducto is built, a system that dynamically adapts filtering decisions according to the time-varying correlation between feature type, filtering threshold, query accuracy, and video content, and it achieves significant filtering benefits, while consistently meeting the desired accuracy.
Proceedings ArticleDOI

RStream: marrying relational algebra with streaming for efficient graph mining on a single machine

TL;DR: RStream is the first single-machine, out-of-core mining system that leverages disk support to store intermediate data and demonstrates that RStream outperforms all of them, running on a 10-node cluster, e.g., by at least a factor of 1.7×, and can process large graphs on an inexpensive machine.
Proceedings Article

Semeru: A memory-disaggregated managed runtime

TL;DR: Semeru is presented, a distributed JVM that can dramatically improve the performance of managed cloud applications in a memory-disaggregated environment and possesses three major innovations: a universal Java heap, which provides a unified abstraction of virtual memory across CPU and memory servers and allows any legacy program to run without modifications.
Proceedings ArticleDOI

JShrink: in-depth investigation into debloating modern Java applications

TL;DR: JShrink develops an end-to-end bytecode debloating framework that augments traditional static reachability analysis with dynamic profiling and type dependency analysis and renovates existing bytecode transformations to account for new language features in modern Java.
Proceedings ArticleDOI

Grapple: A Graph System for Static Finite-State Property Checking of Large-Scale Systems Code

TL;DR: A novel path constraint encoding/decoding algorithm is proposed to attach a path constraint to a graph edge, allowing the graph engine to efficiently recover a path and compute its constraint during the computation.