Time-evolving graph processing at scale
暂无分享,去创建一个
Ion Stoica | Anand Padmanabha Iyer | Erran L. Li | Tathagata Das | I. Stoica | Tathagata Das | A. Iyer
[1] Sebastiano Vigna,et al. The webgraph framework I: compression techniques , 2004, WWW '04.
[2] Marco Rosa,et al. Layered label propagation: a multiresolution coordinate-free ordering for compressing social networks , 2010, WWW.
[3] Zhuhua Cai,et al. Facilitating real-time graph mining , 2012, CloudDB '12.
[4] Enhong Chen,et al. Kineograph: taking the pulse of a fast-changing and connected world , 2012, EuroSys '12.
[5] Michael J. Franklin,et al. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing , 2012, NSDI.
[6] Joseph Gonzalez,et al. PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs , 2012, OSDI.
[7] Ryan A. Rossi,et al. Modeling dynamic behavior in large evolving graphs , 2013, WSDM.
[8] Daniel Mills,et al. MillWheel: Fault-Tolerant Stream Processing at Internet Scale , 2013, Proc. VLDB Endow..
[9] M. Abadi,et al. Naiad: a timely dataflow system , 2013, SOSP.
[10] Scott Shenker,et al. Discretized streams: fault-tolerant streaming computation at scale , 2013, SOSP.
[11] Wenguang Chen,et al. Chronos: a graph engine for temporal graph analysis , 2014, EuroSys '14.
[12] Reynold Xin,et al. GraphX: Graph Processing in a Distributed Dataflow Framework , 2014, OSDI.
[13] Jignesh M. Patel,et al. Storm@twitter , 2014, SIGMOD Conference.
[14] Ion Stoica,et al. CellIQ : Real-Time Cellular Network Analytics at Scale , 2015, NSDI.
[15] Craig Chambers,et al. The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing , 2015, Proc. VLDB Endow..