Marty A. Humphrey

Computer Networks and Communications · 2010–2012

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 44 citations into it; #4,186 of 9,886 by trust here, #6,498 by citations
• Information Systems — 31 citations into it; #3,531 of 8,771 by trust here, #5,942 by citations
• Information Systems and Management — 15 citations into it; #1,653 of 3,842 by trust here, #3,027 by citations
• Hardware and Architecture — 10 citations into it

Whom Marty A. Humphrey trusts overall

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

1. Ming Mao
2. Jia Yu
3. Rajkumar Buyya
4. Ewa Deelman
5. Paul Marshall
6. Jie Li
7. K. Keahey
8. Bhuvan Urgaonkar

Who trusts Marty A. Humphrey overall

1. Ming Mao
2. Maria Alejandra Rodriguez
3. Rajkumar Buyya
4. Jie Li

Papers from Marty A. Humphrey's perspective

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

1. The cost of doing science on the cloud: The Montage example (2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis)
2. Pegasus: A framework for mapping complex scientific workflows onto distributed systems (Scientific Programming)
3. Cost-based scheduling of scientific workflow applications on utility grids (IEEE International Conference on e-Science)
4. Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters (IEEE International Symposium on High-Performance Parallel Distributed Computing)
5. New Grid Scheduling and Rescheduling Methods in the GrADS Project (18th International Parallel and Distributed Processing Symposium, 2004. Proceedings.)
6. Dynamic virtual clusters in a grid site manager (High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on)
7. A view of cloud computing
8. A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing (Cloud Computing)
9. Amazon S3 for science grids: a viable solution? (DADC '08)
10. Decoupling computation and data scheduling in distributed data-intensive applications (Proceedings 11th IEEE International Symposium on High Performance Distributed Computing)

Their papers

• A Performance Study on the VM Startup Time in the Cloud (2012) — 599 citations
• Auto-scaling to minimize cost and meet application deadlines in cloud workflows (2011) — 626 citations
• Cloud auto-scaling with deadline and budget constraints (2010) — 377 citations