Page 184 - 《软件学报》2021年第7期
P. 184

2102                                     Journal of Software  软件学报 Vol.32, No.7,  July 2021

                [63]    Gan Y, Zhang Y, Hu K, Cheng D, He Y, Pancholi M, Delimitrou C. SEER: Leveraging big data to navigate the complexity of
                     performance debugging in  cloud  microservices. In: Proc. of the 24th Int’l  Conf. on  Architectural Support for Programming
                     Languages and Operating Systems. 2019. 19–33.
                [64]    Mariappan M, Vora K. Graphbolt: Dependency-driven synchronous processing of streaming graphs. In: Proc. of the 14th EuroSys
                     Conf. 2019. 1–16.
                [65]    Sheng F, Cao Q, Cai H, Yao J, Xie C. GraPU: Accelerate streaming graph analysis through preprocessing buffered updates. In:
                     Proc. of the ACM Symp. on Cloud Computing. 2018. 301–312.
                [66]    Feng G, Ma Z, Li D, Zhu X, Cai Y, Han W, Chen W. RisGraph: A real-time streaming system for evolving graphs. arXiv Preprint
                     arXiv: 2004.00803, 2020.
                [67]    Mcsherry F, Murray DG, Isaacs R, Isard M. Differential dataflow. In: Proc. of the 6th Biennial Conf. on Innovative Data Systems
                     Research (CIDR 2013). 2013.
                [68]    Ammar K, McSherry F, Salihoglu S, Joglekar M. Distributed evaluation of subgraph queries using worstcase optimal lowmemory
                     dataflows. arXiv Preprint arXiv: 1802.03760, 2018.
                [69]    Peng N,  Poon H, Quirk C, Toutanova K, Yih  W. Cross-sentence  n-ary relation  extraction with graph  LSTMS.  Trans. of  the
                     Association for Computational Linguistics, 2017,5:101–115.
                [70]    Veličković P, Cucurull G, Casanova A, Romero A, Liò P, Bengio Y. Graph attention networks. arXiv Preprint arXiv: 1710.10903,
                     2017.
                [71]    Bresson X, Laurent T. Residual gated graph ConvNets. arXiv Preprint arXiv: 1711.07553, 2017.
                [72]    Ma L, Yang Z, Miao Y, Xue J, Wu M, Zhou L, Dai Y. Neugraph: Parallel deep neural network computation on large graphs. In:
                     Proc. of the 2019 USENIX Annual Technical Conf. (USENIX ATC 19). 2019. 443–458.
                [73]    Zhu R, Zhao K, Yang H, Lin W, Zhou C, Ai B, Li Y, Zhou J. AliGraph: A comprehensive graph neural network platform. Proc. of
                     the VLDB Endowment, 2019,12(12):2094–2105.

                 附中文参考文献:
                 [13]  王康瑾,贾统,李影.在离线混部作业调度与资源管理技术研究综述.软件学报,2020,31(10):3100–3119. http://www.jos.org.cn/
                     1000-9825/6066.htm [doi: 10.13328/j.cnki.jos.006066]
                 [47]  毕亚辉,姜苏洋,王志刚,冷芳玲,鲍玉斌,于戈,钱岭.面向磁盘驻留的类 Pregel 系统的多级容错处理机制.计算机研究与发
                     展,2016,53(11):2530–2541.


                              张程博(1994-),男,博士生,主要研究领域                      贾统(1993-),男,博士后,主要研究领域为
                              为分布式图计算系统,容错.                                分布式系统,智能运维.




                              李影(1975-),女,博士,教授,博士生导师,
                              CCF 高级会员,主要研究领域为分布式计
                              算,可信计算.
   179   180   181   182   183   184   185   186   187   188   189