Marcos Dias de Assunção

Computer Networks and Communications · 2009–2017

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 76 citations into it; #3,614 of 9,886 by trust here, #5,961 by citations
• Information Systems — 53 citations into it; #2,728 of 8,771 by trust here, #3,402 by citations
• Hardware and Architecture — 14 citations into it
• Electrical and Electronic Engineering — 13 citations into it
• Signal Processing — 11 citations into it
• Artificial Intelligence — 8 citations into it; #22,065 of 35,345 by trust here, #31,361 by citations

Whom Marcos Dias de Assunção trusts overall

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

1. S. Muthu Muthukrishnan
2. Ahuva Mu'alem
3. Lukasz Golab
4. Dror G. Feitelson
5. Daniel J. Abadi
6. Srikumar Venugopal
7. Rajkumar Buyya
8. K. Keahey
9. Leonardo Neumeyer
10. Jeffrey S. Chase

Who trusts Marcos Dias de Assunção overall

1. Blesson Varghese
2. Cheol-Ho Hong
3. Mostafa Ghobaei-Arani
4. Bhathiya Wickremasinghe
5. Desamparados Blazquez
6. Rajkumar Buyya
7. Uthayasankar Sivarajah
8. Ming Mao
9. Miyuru Dayarathna
10. Rodrigo Neves Calheiros

Papers from Marcos Dias de Assunção's perspective

Ordered by how strongly the researchers Marcos Dias de Assunção trusts endorse each paper. Same corpus, a different order for every researcher.

1. Greening of the internet (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
2. Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center
3. MapReduce: simplified data processing on large clusters
4. Power Awareness in Network Design and Routing (IEEE INFOCOM 2008 - The 27th Conference on Computer Communications)
5. Managing energy and server resources in hosting centers (Symposium on Operating Systems Principles)
6. Dynamo: amazon's highly available key-value store (Symposium on Operating Systems Principles)
7. MAD Skills: New Analysis Practices for Big Data (Proceedings of the VLDB Endowment)
8. Dynamic virtual clusters in a grid site manager (High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on)
9. Reducing Network Energy Consumption via Sleeping and Rate-Adaptation (Symposium on Networked Systems Design and Implementation)
10. The cost of a cloud: research problems in data center networks (CCRV)

Their papers

• Distributed data stream processing and edge computing: A survey on resource elasticity and future directions (2017) — 302 citations
• A survey on techniques for improving the energy efficiency of large-scale distributed systems (2014) — 359 citations
• Big Data computing and clouds: Trends and future directions (2013) — 898 citations
• Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters (2009) — 389 citations