Paul Marshall

Computer Networks and Communications · with Freeman · 2010

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Marshall trusts overall

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

  1. Ian T Foster

Who trusts Paul Marshall overall

  1. Ming Mao
  2. Guilherme Galante
  3. Marty A. Humphrey
  4. Luis Carlos Erpen De Bona

Papers from Paul Marshall's perspective

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

  1. Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters (IEEE International Symposium on High-Performance Parallel Distributed Computing)
  2. Dynamic virtual clusters in a grid site manager (High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on)
  3. Virtual workspaces: Achieving quality of service and quality of life in the Grid (Scientific Programming)
  4. The Anatomy of the Grid: Enabling Scalable Virtual Organizations (The international journal of high performance computing applications)
  5. The Physiology of the Grid An Open Grid Services Architecture for Distributed Systems Integration
  6. Pegasus: A framework for mapping complex scientific workflows onto distributed systems (Scientific Programming)
  7. SNAP: A Protocol for Negotiating Service Level Agreements and Coordinating Resource Management in Distributed Systems (Job Scheduling Strategies for Parallel Processing)
  8. Giggle: A Framework for Constructing Scalable Replica Location Services (International Conference on Software Composition)
  9. Nimrod/G: an architecture for a resource management and scheduling system in a global computational grid (Proceedings Fourth International Conference/Exhibition on High Performance Computing in the Asia-Pacific Region)
  10. Data management and transfer in high-performance computational grid environments (Parallel Computing)

Their papers