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Shixiong Zhao

Researcher at University of Hong Kong

Publications -  20
Citations -  134

Shixiong Zhao is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Computer science & Scalability. The author has an hindex of 4, co-authored 13 publications receiving 45 citations.

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Proceedings ArticleDOI

Bidl: A High-throughput, Low-latency Permissioned Blockchain Framework for Datacenter Networks

TL;DR: Bidl as mentioned in this paper is the first permissioned blockchain framework highly optimized for datacenter networks, which carries a sequencer to parallelize the consensus protocol and transaction execution speculatively.
Journal ArticleDOI

v Pipe : A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training

TL;DR: vPipe as mentioned in this paper provides dynamic layer partitioning and memory management for pipeline parallelism by searching a near-optimal partitioning/memory management plan and live layer migration protocol for rebalancing the layer distribution across a training pipeline.
Proceedings ArticleDOI

OWL: Understanding and Detecting Concurrency Attacks

TL;DR: OWL is the first practical tool that models general concurrency attacks' implicit consequences and automatically detects them, and eliminates 94.1% of the reports generated by existing concurrency bug detectors as false positive, greatly reducing developers' efforts on diagnosis.
Proceedings ArticleDOI

Uranus: Simple, Efficient SGX Programming and its Applications

TL;DR: Uranus effectively tackles the two major vulnerabilities in the code-reuse approach by presenting two new protocols: a Java bytecode attestation protocol for dynamically loaded functions; and an OS-decoupled, efficient GC protocol optimized for data-handling applications running in enclaves.
Journal ArticleDOI

NFVactor : A Resilient NFV System Using the Distributed Actor Model

TL;DR: This paper proposes NFVactor, a novel NFV system that aims to provide lightweight failure resilience and high-performance flow migration by using actor model to provide a per-flow execution environment, so that each flow can replicate and migrate itself with improved parallelism.