Ming Mao

Computer Networks and Communications · 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · 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; #4,187 of 9,886 by trust here, #6,498 by citations
• Information Systems — 31 citations into it; #3,532 of 8,771 by trust here, #5,942 by citations
• Information Systems and Management — 15 citations into it; #1,654 of 3,842 by trust here, #3,027 by citations
• Hardware and Architecture — 10 citations into it

Whom Ming Mao trusts overall

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

1. Jia Yu
2. Rajkumar Buyya
3. Ewa Deelman
4. Marty A. Humphrey
5. Paul Marshall
6. Rodrigo Neves Calheiros
7. Bhuvan Urgaonkar
8. Jie Li
9. K. Keahey
10. Gurmeet Singh

Who trusts Ming Mao overall

1. Maria Alejandra Rodriguez
2. Marty A. Humphrey
3. Rajkumar Buyya
4. Jie Li
5. Tania Lorido-Botran
6. Guilherme Galante

Papers from Ming Mao's perspective

Ordered by how strongly the researchers Ming Mao 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. A view of cloud computing
7. Dynamic virtual clusters in a grid site manager (High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on)
8. Heuristics for scheduling parameter sweep applications in grid environments (Heterogeneous Computing Workshop)
9. A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing (Cloud Computing)
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