Matthew L. Massie

Computer Networks and Communications · 2004

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew L. Massie trusts overall

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

  1. Antony Ian Taylor Rowstron
  2. John D. Kubiatowicz
  3. Ian T Foster
  4. Larry L. Peterson
  5. Ion Stoica
  6. Peter Druschel

Who trusts Matthew L. Massie overall

  1. Myeongjae Jeon
  2. Kyoungsoo Park
  3. Giuseppe Aceto
  4. Kevin Lai
  5. Shivaram Venkataraman
  6. Vivek S. Pai
  7. Amar Phanishayee
  8. Alessio Botta
  9. Junjie Qian

Papers from Matthew L. Massie's perspective

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

  1. Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems (International Middleware Conference)
  2. Pastry: Scalable, distributed object location and routing for large-scale peer-to-
  3. Chord: A scalable peer-to-peer lookup service for internet applications (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  4. OceanStore: an architecture for global-scale persistent storage (SIGP)
  5. A scalable content-addressable network (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
  6. PlanetLab: A Blueprint for Introducing Disruptive Technology into the Internet
  7. Astrolabe: A robust and scalable technology for distributed system monitoring, management, and data mining (TOCS)
  8. Grid information services for distributed resource sharing (Proceedings 10th IEEE International Symposium on High Performance Distributed Computing)
  9. The Anatomy of the Grid: Enabling Scalable Virtual Organizations (The international journal of high performance computing applications)
  10. The Anatomy of a Large-Scale Hypertextual Web Search Engine

Their papers