258 Papers
1.1K Citations
Nong Xiao is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Computer science & Cache. The author has an hindex of 21, co-authored 235 publications. Previous affiliations of Nong Xiao include University of California, Berkeley & University of Defence.
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Papers
Wukong: A cloud-oriented file service for mobile Internet devices
TL;DR: This paper reports a novel cloud-oriented file service, Wukong, which provides a user-friendly and highly available facilitative data access method for mobile devices in cloud settings, and is the first file service that supports heterogeneous cloud services forMobile devices by using the innovative storage abstraction layer.
LazySort: A customized sorting algorithm for non-volatile memory
TL;DR: Li et al. as discussed by the authors proposed LazySort, which is a novel external sorting algorithm that exploits the NVM byte addressing mechanism and the orderly distribution of data to improve the sorting efficiency.
A Quantitative Survey on QoS-Aware Replica Placement
Wei Fu,Nong Xiao,Xicheng Lu +2 more
- 24 Oct 2008
TL;DR: A survey on QoS-aware Replica Placement Problem (QRPP) for distributed system, model and definition of QRPP are discussed and existing solutions are described and analyzed in detail.
HConfig: Resource adaptive fast bulk loading in HBase
Xianqiang Bao,Ling Liu,Nong Xiao,Fang Liu,Qi Zhang,Tao Zhu +5 more
- 11 Nov 2014
TL;DR: HConfig, a semi-automated configuration manager for optimizing HBase system performance from multiple dimensions is developed and it is shown that the HConfig enhanced bulk loading can significantly improve the performance of HBase bulk loading jobs compared to the HBase default configuration, and achieve 2.7× speedup in throughput under different client threads while maintaining linear horizontal scalability.
GraphPEG: Accelerating Graph Processing on GPUs
TL;DR: GraphPEG as discussed by the authors improves the performance of graph processing by coupling automatic edge gathering with fine-grain work distribution, which is based on the observation that many graph algorithms have a common pattern on graph traversal.