Yongguang Zhang

Computer Networks and Communications · 2007–2014

A researcher in the Science corpus: 8 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Yongguang Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Paramvir Victor Bahl

Who trusts Yongguang Zhang overall

  1. Suining He

Papers from Yongguang Zhang's perspective

Ordered by how strongly the researchers Yongguang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. MapReduce: simplified data processing on large clusters
  2. RADAR: an in-building RF-based user location and tracking system (Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064))
  3. A scalable, commodity data center network architecture (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  4. VL2: a scalable and flexible data center network (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  5. A scalable content-addressable network (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  6. Chord: A scalable peer-to-peer lookup service for internet applications (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  7. Ad hoc positioning system (APS) using AOA (IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428))
  8. Bigtable: a distributed storage system for structured data (USENIX Symposium on Operating Systems Design and Implementation)
  9. The nature of data center traffic: measurements & analysis (ACM/SIGCOMM Internet Measurement Conference)
  10. Web Search for a Planet: The Google Cluster Architecture (IEEE Micro)

Their papers